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Isuru0x01

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[ "@terryheo \r\nCan you help to review it?", "Hi @grantjensen / @terryheo Can you please review this PR ? Thank you!", "Failing internal test when linking conv_test:\r\n\r\n```[100%] Linking CXX executable conv_test\r\n/usr/bin/ld: ../libtensorflow-lite.a(op_signature.cc.o): in function `tflite::GetOpSignature(TfLiteContext const*, TfLiteNode const*, TfLiteRegistration const*)':\r\nop_signature.cc:(.text+0x440): multiple definition of `tflite::GetOpSignature(TfLiteContext const*, TfLiteNode const*, TfLiteRegistration const*)'; libtensorflow-lite-test-base.a(op_signature.cc.o):op_signature.cc:(.text+0x440): first defined here\r\n/usr/bin/ld: ../libtensorflow-lite.a(op_signature.cc.o): in function `tflite::GetOpSignature(tflite::OperatorCode const*, tflite::Operator const*, tflite::SubGraph const*, tflite::Model const*)':\r\nop_signature.cc:(.text+0xb60): multiple definition of `tflite::GetOpSignature(tflite::OperatorCode const*, tflite::Operator const*, tflite::SubGraph const*, tflite::Model const*)'; libtensorflow-lite-test-base.a(op_signature.cc.o):op_signature.cc:(.text+0xb60): first defined here\r\ncollect2: error: ld returned 1 exit status```\r\n\r\nPlease fix\r\n\r\n", "> /usr/bin/ld: ../libtensorflow-lite.a(op_signature.cc.o): in function `tflite::GetOpSignature(TfLiteContext const*, TfLiteNode const*, TfLiteRegistration const*)':\r\n> op_signature.cc:(.text+0x440): multiple definition of `tflite::GetOpSignature(TfLiteContext const*, TfLiteNode const*, TfLiteRegistration const*)'; libtensorflow-lite-test-base.a(op_signature.cc.o):op_signature.cc:(.text+0x440): first defined here\r\n> /usr/bin/ld: ../libtensorflow-lite.a(op_signature.cc.o): in function `tflite::GetOpSignature(tflite::OperatorCode const*, tflite::Operator const*, tflite::SubGraph const*, tflite::Model const*)':\r\n> op_signature.cc:(.text+0xb60): multiple definition of `tflite::GetOpSignature(tflite::OperatorCode const*, tflite::Operator const*, tflite::SubGraph const*, tflite::Model const*)'; libtensorflow-lite-test-base.a(op_signature.cc.o):op_signature.cc:(.text+0xb60): first defined here\r\n> collect2: error: ld returned 1 exit status```\r\n\r\n@grantjensen Can you share more information about which compiler you used (e.g gcc for arm64)?\r\n", "Sure.\r\n\r\n```\r\n\"${CMAKE}\" ../tensorflow/lite -DTFLITE_ENABLE_GPU=ON -DTFLITE_KERNEL_TEST=ON\r\ntime \"${CMAKE}\" --build . -j -t benchmark_model -t conv_test\r\n```\r\n(Cmake -v == 3.16.8)\r\nI have also run this code with unpack_test and have not encountered any errors. Do you mind providing the code you used to generate the original issue?\r\n", "> Do you mind providing the code you used to generate the original issue?\r\n\r\nI set `-DTFLITE_ENABLE_GPU=OFF` and the bug happens as I mentioned at the top.\r\n\r\nThe multiple define errors happen only when `-DTFLITE_ENABLE_GPU=ON`.\r\nBecause `op_signature` is included in `TFLITE_DELEGATES_GPU_SRCS`, it makes `tensorflow-lite.a` define `GetOpSignature `.\r\n https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/CMakeLists.txt#L603C22-L603C22\r\n\r\nMy previous modification makes `tensorflow-lite-test-base` include the definition of `op_signature`.\r\nhttps://github.com/tensorflow/tensorflow/blob/37f535948ea6ff280100ab254c7d9acd183e2ed6/tensorflow/lite/kernels/CMakeLists.txt#L122C57-L122C57\r\n`tensorflow-lite-test-base` will later link `tensorflow-lite`(it defines op_signature when `TFLITE_ENABLE_GPU=ON`) later, so it causes multiple definitions here.\r\nhttps://github.com/tensorflow/tensorflow/blob/37f535948ea6ff280100ab254c7d9acd183e2ed6/tensorflow/lite/kernels/CMakeLists.txt#L122C13-L127\r\n\r\n", "I provide the other [PR](https://github.com/tensorflow/tensorflow/pull/61798) to solve this issue because of my operation error.", "Closing this; approving [pr](https://github.com/tensorflow/tensorflow/pull/61798)" ]

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[ "@DocKustom Could you please fill the template properly with relevant information. Please have a look at this [link](https://www.tensorflow.org/lite/guide/faq) to know more about the issues related to the converter. Thank you!", "I don't even know how to get to the python terminal so I can input an**y**code at all", "Ok so my problem is that kera monitors you", "@DocKustom Could you please provide more information on the issue reported as the issue seems to be related converter so please follow this [link](https://www.tensorflow.org/lite/models/convert) for more context to it. Thank you!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further." ]

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[ "> runtime_matmul_mkl\r\n\r\nI removed it from BUILD. THANKS\r\n", "https://github.com/tensorflow/tensorflow/pull/61237 was brought back with commit https://github.com/tensorflow/tensorflow/commit/765314dd0b5e3fae242c9b7441ce1bda3daa8070. Does this PR need to be updated again?", "> #61237 was brought back with commit [765314d](https://github.com/tensorflow/tensorflow/commit/765314dd0b5e3fae242c9b7441ce1bda3daa8070). Does this PR need to be updated again?\r\n\r\nYES, I will patch back the changes in my 2nd commit today", "@penpornk I updated this PR. Please help to review" ]

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[ "Hi @mikechen66 ,\r\n\r\nPlease follow the correct configuration and follow the [documentation](https://www.tensorflow.org/install/pip) \r\n\r\nPlease also have a look of similar issue at https://github.com/tensorflow/tensorflow/issues/41060. \r\n\r\nThanks!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "does anyone have any updates on this? facing the same issue without a trace in sight", "Hi @mikechen66 ,\r\n\r\nI am assuming you are using prebuilt binaries from Pypi.If you are building from source please confirm.\r\n\r\nCould you please confirm whether CUDNN PATH setting done like below. Refer step 4 in attached [documentation](https://www.tensorflow.org/install/pip#step-by-step_instructions) source for more details on configuring GPU.\r\n\r\n```\r\nCUDNN_PATH=$(dirname $(python -c \"import nvidia.cudnn;print(nvidia.cudnn.__file__)\"))\r\nexport LD_LIBRARY_PATH=$CUDNN_PATH/lib:$CONDA_PREFIX/lib/:$LD_LIBRARY_PATH\r\n```\r\n\r\nAlso please run the command `nvidia-smi` to check whether Nvidia driver installed or not.\r\n\r\nPlease ignore TensorRT warning as this is optional and it won't affect GPU. Thanks!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "still having issues too", "I have the same issue. Does anyone have any updates on this? ", "I too am suffering from this issue.", "Try adding this command\r\n\r\n`!pip install tensorflow-gpu==2.8.0`", "> Try adding this command\r\n> \r\n> `!pip install tensorflow-gpu==2.8.0`\r\n\r\nThank you, it works for me.", "> Try adding this command\r\n> \r\n> `!pip install tensorflow-gpu==2.8.0`\r\n\r\nIt seems tensorflow-gpu will be deprecated? #60074", "Looks like it, but it works for me as well.", "Starting from TF2.12v `tensorflow-gpu` became redundant and installing `tensorflow` automatically installs GPU version also.", "@mikechen66 , Can we mark it as closed. Please let us know if still having concerns.\r\n\r\nThanks!", "had same issue as others\r\n\r\n> ```\r\n> CUDNN_PATH=$(dirname $(python -c \"import nvidia.cudnn;print(nvidia.cudnn.__file__)\"))\r\n> export LD_LIBRARY_PATH=$CUDNN_PATH/lib:<path to your python libs>/tensorrt_libs/:$LD_LIBRARY_PATH:\r\n> ```\r\nfrom @SuryanarayanaY & [SO](https://stackoverflow.com/a/76882097) seemed to do the trick for me\r\nin case others had the same issue but didn't install tensorflow through conda\r\n\r\nNote: will need to add to environment variables in profile or `.env` file otherwise will need to reset these variables before each run", "> had same issue as others\r\n> \r\n> > ```\r\n> > CUDNN_PATH=$(dirname $(python -c \"import nvidia.cudnn;print(nvidia.cudnn.__file__)\"))\r\n> > export LD_LIBRARY_PATH=$CUDNN_PATH/lib:<path to your python libs>/tensorrt_libs/:$LD_LIBRARY_PATH:\r\n> > ```\r\n> \r\n> from @SuryanarayanaY & [SO](https://stackoverflow.com/a/76882097) seemed to do the trick for me in case others had the same issue but didn't install tensorflow through conda\r\n> \r\n> Note: will need to add to environment variables in profile or `.env` file otherwise will need to reset these variables before each run\r\n\r\nThis works for me! Thanks.", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "> had same issue as others\r\n> \r\n> > ```\r\n> > CUDNN_PATH=$(dirname $(python -c \"import nvidia.cudnn;print(nvidia.cudnn.__file__)\"))\r\n> > export LD_LIBRARY_PATH=$CUDNN_PATH/lib:<path to your python libs>/tensorrt_libs/:$LD_LIBRARY_PATH:\r\n> > ```\r\n> \r\n> from @SuryanarayanaY & [SO](https://stackoverflow.com/a/76882097) seemed to do the trick for me in case others had the same issue but didn't install tensorflow through conda\r\n> \r\n> Note: will need to add to environment variables in profile or `.env` file otherwise will need to reset these variables before each run\r\n\r\nCould you tell the command to find path to python libs ?\r\nAlso I am unable to find tensor_libs folder using find command.", "In my case the log reported \r\n```\r\nTF-TRT Warning: Could not find TensorRT\r\n```\r\nbut my program ran otherwise normally. I resolved this by using TensorRT 8 instead of TensorRT 7, contrary to what the [documentation](https://www.tensorflow.org/install/pip#software_requirements) suggests.\r\n\r\nAfter tracking the source code a bit, it seems that library search starts in [`py_utils.cc`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/compiler/tf2tensorrt/utils/py_utils.cc#L36) and lands in [`load_library.cc`](https://github.com/google/tsl/blob/main/tsl/platform/default/load_library.cc#L27). So we can use `dlopen` to test what gets wrong (under Linux, for example).\r\n\r\nI used the following snippet to check the actual error when loading the TensorRT library:\r\n```c\r\n#include <dlfcn.h>\r\n#include <stdio.h>\r\n\r\nint main() {\r\n void* handle = dlopen(\"libnvinfer.so\", RTLD_NOW | RTLD_LOCAL);\r\n if (handle) {\r\n printf(\"%p\", handle);\r\n dlclose(handle);\r\n } else {\r\n printf(\"%s\", dlerror());\r\n }\r\n printf(\"\\n\");\r\n return handle == NULL;\r\n}\r\n```\r\nIn my case, it printed\r\n```\r\nlibnvrtc.so.11.1: cannot open shared object file: No such file or directory\r\n```\r\nand I could only find `libnvrtc.so.11.2` in my system, which seems too new for TensorRT 7. After being aware that [TensorFlow supports TensorRT 8](https://github.com/tensorflow/tensorflow/pull/52932), I upgraded TensorRT and the warning was gone.", "Hi @mikechen66 ,\r\n\r\nThis could not be an issue with latest version TF2.14v. As tensorflow team came up with GPU package that also bundled with all the necessary cuda,cudnn and Tensorrt packages etc. You can use `pip install tensorflow[and-cuda]==2.14` and it installs all the comapatable versions of GPU packages also. This will ensure there is no compatibility issues arises in any of cuda,cudnn, tensorrt etc.\r\n\r\nhttps://github.com/tensorflow/tensorflow/blob/4dacf3f368eb7965e9b5c3bbdd5193986081c3b2/tensorflow/tools/pip_package/setup.py#L169-L181\r\n\r\nPlease verify and confirm if there is still an issue. Thanks!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "> Try adding this command\r\n> \r\n> `!pip install tensorflow-gpu==2.8.0`\r\n\r\nit's worked thanks", "The following snippet resolved the tensorrt problem completely on my machine.\r\n```\r\nmkdir -p $CONDA_PREFIX/etc/conda/activate.d\r\n\r\necho 'CUDNN_PATH=$(dirname $(python -c \"import nvidia.cudnn;print(nvidia.cudnn.__file__)\"))' >> $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh\r\necho 'TENSORRT_PATH=$(dirname $(python -c \"import tensorrt;print(tensorrt.__file__)\"))' >> $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh\r\necho 'export LD_LIBRARY_PATH=$CONDA_PREFIX/lib/:$CUDNN_PATH/lib:$LD_LIBRARY_PATH' >> $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh\r\n\r\nsource $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh\r\n```", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61468\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61468\">No</a>\n", "FWIW, similarly to the answers above setting the LD_LIBRARY_PATH path resolved the issue on my machine (I am not using conda). I downloaded `TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-12.0` and `cudnn-linux-x86_64-8.9.7.29_cuda12-archive` from Nvidia for my version of tensorrt (8.6.1.post1) . You need to have both as otherwise the msg will be printed and I suspect `TryDlopenTensorRTLibraries` requires a number of libs to be there which `pip install tensorrt` does not fetch :thinking: .", "@skonto you're right, 2.15-post1 is looking for `libnvinfer_plugin.so.8.6.1` and libnvinfer.so.8.6.1\r\n\r\n```c++\r\nabsl::StatusOr<void*> GetNvInferDsoHandle() {\r\n#if defined(PLATFORM_WINDOWS)\r\n return GetDsoHandle(\"nvinfer\", \"\");\r\n#else\r\n return GetDsoHandle(\"nvinfer\", GetTensorRTVersion());\r\n#endif\r\n}\r\n\r\nabsl::StatusOr<void*> GetNvInferPluginDsoHandle() {\r\n#if defined(PLATFORM_WINDOWS)\r\n return GetDsoHandle(\"nvinfer_plugin\", \"\");\r\n#else\r\n return GetDsoHandle(\"nvinfer_plugin\", GetTensorRTVersion());\r\n#endif\r\n}\r\n```\r\n\r\nYou can know which file your tf is finding by using `strace -e open,openat python -c \"import tensorflow as tf\"` in your venv.\r\n\r\nI recall that in before, tf2.10 and below looks for libnvinfer.so.7 while the tensorrt python prebuild package only offers libnvinfer.so.8, so you do stupid things `ln -s libnvinfer.so.8 libnvinfer.so.7` to get it working,\r\n\r\nalso the file used to be in tensorrt folder, but now, the tensorrt package is not included in `pip install tensorflow[and-cuda]` (and-cuda package). Thus you need to install tensorrt, too. The tensorrt package on pypi comes with 8.6.1. However, the package only gives libnvinfer.so.8 where tensorflow is looking for libnvinfer.8.6.1.\r\n\r\nThus the way to solve this is to go to your venv site-packages folder, find tensorrt_libs folder,\r\n\r\n(in my case tf version 2.15-post1)\r\n\r\n`ln -s libnvinfer_plugin.so.8 libnvinfer_plugin.so.8.6.1`\r\n\r\n`ln -s libnvinfer.so.8 libnvinfer.so.8.6.1`\r\n\r\nand make sure tensorrt_libs folder is in the LD_LIBRARY_PATH\r\n\r\n(maybe `TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-12.0` offers `libnvinfer.so.8.6.1`, but it works for me though)\r\n\r\n", "Where do I need to copy these 2 files to?\r\nfor ex. TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-12.0\r\nfyii. I am on Ubuntu 22.04 on WSL2 on Windows 11", "It's quite difficult to manage everything with all those changes during time, but a logical assumption is that `tensorflow[and-cuda]` will remain to be a preferable setup in the future. So, for the most recent tensorflow and CUDA:\r\n\r\n`pip install tensorflow[and-cuda]==v2.16.0-rc0`\r\n\r\n```\r\npython3 -c \"import tensorflow.compiler as tf_cc; \\\r\nprint(tf_cc.tf2tensorrt._pywrap_py_utils.get_linked_tensorrt_version())\"\r\n```\r\n(8, 6, 1)\r\n\r\nDownload related tar.gz https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/secure/8.6.1/tars/TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-12.0.tar.gz , extract it and set its `lib` to the environment variable LD_LIBRARY_PATH:\r\n\r\n```\r\nexport CUDNN_PATH=$HOME/venv/lib/python3.11/site-packages/nvidia/cudnn\r\nexport LD_LIBRARY_PATH=$CUDNN_PATH/lib:$HOME/repos/TensorRT-8.6.1.6/lib:$LD_LIBRARY_PATH\r\nexport TF_ENABLE_ONEDNN_OPTS=0\r\n```\r\n", "for me, debian 12, in docker environment, i had to install ` pip install tensorflow[and-cuda]==2.15.1` so it list the gpu for version 2.16.x, it does not list anymore" ]

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[ "cc: @nitins17 ", "@cjflan Thanks so much for sending this PR btw! I forgot that we needed a version bump for the Apple Silicon r2.14 builds. " ]

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[ "Hi @rdzhabarov Can you please review this PR ? Thank you!", "Hi @rdzhabarov Can you please review this PR ? Thank you!", "Hi @rafaelubalmw Can you please resolve conflicts? Thank you!", "This PR is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.", "Hi @rafaelubalmw Can you please resolve conflicts? Thank you!", "Hi @rafaelubalmw Can you please resolve conflicts? Thank you!", "Hi @rafaelubalmw I'm going to go ahead and close this PR, because it seems to have stalled. If you're still interested in pursing this (and responding to my comments), please feel free to reopen! Thank you for your contribution!" ]

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[ "Yea what he said", "Hi @grantjensen Can you please review this PR ? Thank you!", "Looks like this was already fixed here: https://github.com/tensorflow/tensorflow/commit/281c2c44db66a57eba280c8dbc10071488752547" ]

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[ "@yeshsurya,\r\n It's unlikely for TF 2.6 version to receive any bug fixes except when we have security patches. There is a high possibility that this was fixed with later TF versions. Perhaps you can use latest tf versions for your case. \r\n\r\nAlso I tried to execute the sample code with the latest tensorflow v2.13, and it was executed without any issue/error. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/d631e372dfef25faf51b50836c2933e4/save_and_load.ipynb).\r\n\r\nThank you!", "I think this is issue on GPU driver and Windows OS. When I switch the GPU mode from TCC to WDDM the freeze will not happen. I'm talking about NVIDIA A6000 GPU", "@yeshsurya,\r\nIn that case this is not the issue from the tensorflow side. I tried to execute the sample code with the latest tensorflow v2.13, and it was executed without any issue/error. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/d631e372dfef25faf51b50836c2933e4/save_and_load.ipynb).\r\n\r\nThank you!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61464\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61464\">No</a>\n" ]

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[ "Hi @das-ankur \r\n\r\nCan you please provide the steps you are following inorder to reproduce the issue?\r\n\r\nDid you follow [build steps for arm64](https://www.tensorflow.org/lite/guide/build_cmake_arm#build_for_aarch64_arm64) and hitting the errors?\r\n\r\nThanks.", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61463\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61463\">No</a>\n" ]

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[ "CC @reedwm." ]

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[ "Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).\n\nView this [failed invocation](https://github.com/tensorflow/tensorflow/pull/61459/checks?check_run_id=15571312736) of the CLA check for more information.\n\nFor the most up to date status, view the checks section at the bottom of the pull request." ]

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[ "Hi @pranavladkat ,\r\n\r\nAs the [document](https://www.tensorflow.org/xla/known_issues#tfvariable_on_a_different_device) says, int32 types are not comprehensively supported on GPUs. As a workaround, please try int64.\r\nAlternatively, you could choose to explicitly place int32 variables on CPU, or just not specify any device at all and let TensorFlow's device placement select GPU where appropriate.\r\nPlease let us know if this works.\r\n\r\nThank you!!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61458\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61458\">No</a>\n" ]

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[ "@ali-raza-tariq,\r\n**ClusterResolvers** are a way for TensorFlow to communicate with various cluster management systems (e.g. GCE, AWS, etc...) and gives TensorFlow necessary information to set up distributed training.\r\n\r\nBy letting TensorFlow communicate with these systems, we will be able to automatically discover and resolve IP addresses for various TensorFlow workers. This will eventually allow us to automatically recover from underlying machine failures and scale TensorFlow worker clusters up and down.\r\n\r\nCould you please take a look at the official document for the information on cluster_resolver.\r\nhttps://www.tensorflow.org/api_docs/python/tf/distribute/cluster_resolver/ClusterResolver\r\nhttps://www.tensorflow.org/api_docs/python/tf/distribute/cluster_resolver/TFConfigClusterResolver\r\n\r\nAlso provide the complete error log to debug the issue. Thank you!", "Hi @tilakrayal thank you for your response. First of all, does this mean the `Chief` no longer participates in the training? Previously, `Chief` (also referred to as `worker0`) used to be just another worker with some extra coordination responsibilities. Secondly, kindly let me know if there are any end to end examples using using `Keras` new style of code (specifically for the `parameterServerStrategy`). This code is just an example using snippets of code I took from the tensorflow documentation from the link above. Which is why I shared the code to make sure I am not doing something fundamentally wrong in the training job. To be fair I am not even sure if its an error or not but this is what I get on my Chief, kindly look below:\r\n\r\n```\r\n2023-08-05 23:40:02.230291: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\r\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\r\n2023-08-05 23:40:03.951682: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:12345\r\n/usr/local/lib/python3.8/dist-packages/tensorflow/python/data/ops/dataset_ops.py:468: UserWarning: To make it possible to preserve tf.data options across serialization boundaries, their implementation has moved to be part of the TensorFlow graph. As a consequence, the options value is in general no longer known at graph construction time. Invoking this method in graph mode retains the legacy behavior of the original implementation, but note that the returned value might not reflect the actual value of the options.\r\n warnings.warn(\"To make it possible to preserve tf.data options across \"\r\nEpoch 1/12\r\n2023-08-05 23:40:06.968495: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 3s - loss: 0.7186 - accuracy: 0.7920 - 3s/epoch - 28ms/step\r\nEpoch 2/12\r\n2023-08-05 23:40:08.341929: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.2847 - accuracy: 0.9103 - 1s/epoch - 14ms/step\r\nEpoch 3/12\r\n2023-08-05 23:40:09.810759: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.2160 - accuracy: 0.9369 - 1s/epoch - 15ms/step\r\nEpoch 4/12\r\n2023-08-05 23:40:11.204296: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.1960 - accuracy: 0.9413 - 1s/epoch - 14ms/step\r\nEpoch 5/12\r\nWARNING:tensorflow:5 out of the last 5 calls to <function MultiDeviceSaver.save.<locals>.tf_function_save at 0x7fdd00686d30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\r\nWARNING:tensorflow:5 out of the last 5 calls to <function MultiDeviceSaver.save.<locals>.tf_function_save at 0x7fdd00686d30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\r\n2023-08-05 23:40:12.640156: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.1419 - accuracy: 0.9598 - 1s/epoch - 14ms/step\r\nEpoch 6/12\r\nWARNING:tensorflow:6 out of the last 6 calls to <function MultiDeviceSaver.save.<locals>.tf_function_save at 0x7fdd668989d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\r\nWARNING:tensorflow:6 out of the last 6 calls to <function MultiDeviceSaver.save.<locals>.tf_function_save at 0x7fdd668989d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\r\n2023-08-05 23:40:13.990166: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.1409 - accuracy: 0.9558 - 1s/epoch - 13ms/step\r\nEpoch 7/12\r\n2023-08-05 23:40:15.301438: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.1303 - accuracy: 0.9634 - 1s/epoch - 13ms/step\r\nEpoch 8/12\r\n2023-08-05 23:40:16.636748: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.1158 - accuracy: 0.9672 - 1s/epoch - 13ms/step\r\nEpoch 9/12\r\n2023-08-05 23:40:17.985054: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.0969 - accuracy: 0.9745 - 1s/epoch - 13ms/step\r\nEpoch 10/12\r\n2023-08-05 23:40:19.361131: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.0949 - accuracy: 0.9725 - 1s/epoch - 14ms/step\r\nEpoch 11/12\r\n2023-08-05 23:40:20.846003: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.0965 - accuracy: 0.9727 - 1s/epoch - 15ms/step\r\nEpoch 12/12\r\n2023-08-05 23:40:22.234380: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n100/100 - 1s - loss: 0.0703 - accuracy: 0.9784 - 1s/epoch - 14ms/step\r\n2023-08-05 23:40:22.723441: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_map_lookup_nest_65'.\r\nAdditional GRPC error information from remote target /job:ps/replica:0/task:0:\r\n:{\"created\":\"@1691278822.723257314\",\"description\":\"Error received from peer ipv4:127.0.0.1:34567\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_map_lookup_nest_65'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.724180: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_map_lookup_nest_65'.\r\nAdditional GRPC error information from remote target /job:worker/replica:0/task:0:\r\n:{\"created\":\"@1691278822.724041713\",\"description\":\"Error received from peer ipv4:127.0.0.1:23456\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_map_lookup_nest_65'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.724904: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_map_parse_and_decode_54'.\r\nAdditional GRPC error information from remote target /job:ps/replica:0/task:0:\r\n:{\"created\":\"@1691278822.724815013\",\"description\":\"Error received from peer ipv4:127.0.0.1:34567\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_map_parse_and_decode_54'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.725483: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_map_parse_and_decode_54'.\r\nAdditional GRPC error information from remote target /job:worker/replica:0/task:0:\r\n:{\"created\":\"@1691278822.725363814\",\"description\":\"Error received from peer ipv4:127.0.0.1:23456\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_map_parse_and_decode_54'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.726046: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_interleave_classfunctools.partial_25'.\r\nAdditional GRPC error information from remote target /job:ps/replica:0/task:0:\r\n:{\"created\":\"@1691278822.725959729\",\"description\":\"Error received from peer ipv4:127.0.0.1:34567\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_interleave_classfunctools.partial_25'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.726620: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_interleave_classfunctools.partial_25'.\r\nAdditional GRPC error information from remote target /job:worker/replica:0/task:0:\r\n:{\"created\":\"@1691278822.726483537\",\"description\":\"Error received from peer ipv4:127.0.0.1:23456\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_interleave_classfunctools.partial_25'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.727303: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_flat_map_read_one_file_22'.\r\nAdditional GRPC error information from remote target /job:ps/replica:0/task:0:\r\n:{\"created\":\"@1691278822.727133327\",\"description\":\"Error received from peer ipv4:127.0.0.1:34567\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_flat_map_read_one_file_22'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.727894: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_flat_map_read_one_file_22'.\r\nAdditional GRPC error information from remote target /job:worker/replica:0/task:0:\r\n:{\"created\":\"@1691278822.727780581\",\"description\":\"Error received from peer ipv4:127.0.0.1:23456\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_flat_map_read_one_file_22'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.762456: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_map_lookup_nest_133'.\r\nAdditional GRPC error information from remote target /job:ps/replica:0/task:0:\r\n:{\"created\":\"@1691278822.762253070\",\"description\":\"Error received from peer ipv4:127.0.0.1:34567\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_map_lookup_nest_133'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.763108: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_map_lookup_nest_133'.\r\nAdditional GRPC error information from remote target /job:worker/replica:0/task:0:\r\n:{\"created\":\"@1691278822.762942628\",\"description\":\"Error received from peer ipv4:127.0.0.1:23456\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_map_lookup_nest_133'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.763966: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_map_parse_and_decode_122'.\r\nAdditional GRPC error information from remote target /job:ps/replica:0/task:0:\r\n:{\"created\":\"@1691278822.763808342\",\"description\":\"Error received from peer ipv4:127.0.0.1:34567\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_map_parse_and_decode_122'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.764617: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_map_parse_and_decode_122'.\r\nAdditional GRPC error information from remote target /job:worker/replica:0/task:0:\r\n:{\"created\":\"@1691278822.764451669\",\"description\":\"Error received from peer ipv4:127.0.0.1:23456\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_map_parse_and_decode_122'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.765414: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_interleave_classfunctools.partial_93'.\r\nAdditional GRPC error information from remote target /job:ps/replica:0/task:0:\r\n:{\"created\":\"@1691278822.765246613\",\"description\":\"Error received from peer ipv4:127.0.0.1:34567\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_interleave_classfunctools.partial_93'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.766108: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_interleave_classfunctools.partial_93'.\r\nAdditional GRPC error information from remote target /job:worker/replica:0/task:0:\r\n:{\"created\":\"@1691278822.765934285\",\"description\":\"Error received from peer ipv4:127.0.0.1:23456\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_interleave_classfunctools.partial_93'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.766876: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_flat_map_read_one_file_90'.\r\nAdditional GRPC error information from remote target /job:ps/replica:0/task:0:\r\n:{\"created\":\"@1691278822.766725231\",\"description\":\"Error received from peer ipv4:127.0.0.1:34567\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_flat_map_read_one_file_90'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n2023-08-05 23:40:22.767543: E tensorflow/core/common_runtime/eager/context.cc:878] Failed to remove function remotely due to Tried to remove non-existent function '__inference_Dataset_flat_map_read_one_file_90'.\r\nAdditional GRPC error information from remote target /job:worker/replica:0/task:0:\r\n:{\"created\":\"@1691278822.767393731\",\"description\":\"Error received from peer ipv4:127.0.0.1:23456\",\"file\":\"external/com_github_grpc_grpc/src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Tried to remove non-existent function '__inference_Dataset_flat_map_read_one_file_90'.\",\"grpc_status\":3}\r\nThis could happen if the remote target has been disconnected from the client.\r\n```\r\n\r\nFor some reason, the worker (separate shell) does not show any thing related to training progress. Worker log:\r\n```\r\n2023-08-05 23:40:03.944832: I tensorflow/core/distributed_runtime/eager/eager_service_impl.cc:311] Creating sync eager service context with rendezvous_id on host tensorflow4 /job:worker/replica:0/task:0\r\n2023-08-05 23:40:03.944929: I tensorflow/core/distributed_runtime/eager/eager_service_impl.cc:317] SessionOptions: device_count {\r\n key: \"CPU\"\r\n value: 1\r\n}\r\ndevice_count {\r\n key: \"GPU\"\r\n value: 0\r\n}\r\ngpu_options {\r\n experimental {\r\n }\r\n}\r\nallow_soft_placement: true\r\nexperimental {\r\n collective_group_leader: \"/job:ps/replica:0/task:0\"\r\n}\r\n\r\n2023-08-05 23:40:04.238759: W tensorflow/core/grappler/optimizers/data/auto_shard.cc:551] The `assert_cardinality` transformation is currently not handled by the auto-shard rewrite and will be removed.\r\n2023-08-05 23:40:04.389447: W tensorflow/core/framework/dataset.cc:956] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\r\n2023-08-05 23:40:22.752175: I tensorflow/core/common_runtime/eager/kernel_and_device.cc:94] Ignoring error status when releasing multi-device function handle UNIMPLEMENTED: Releasing a multi-device component handle on a remote device is not yet implemented.\r\n```", "> To my understanding, all workers and paramter-servers will start and wait for chief to assign the tasks. Chief or coordinator (documentation uses them interchangeably but is there any difference between the two?) will automatically divide the work based on the information it gets from cluster_resolver (let me know if that's wrong interpretation).\r\n\r\nYes this is accurate. The chief (AKA the coordinator; they are different names for the same thing) is the only task running `Model.fit`, which under the hood schedules the function executions and dispatches them to workers and parameter servers. \r\n\r\n> First of all, does this mean the Chief no longer participates in the training? Previously, Chief (also referred to as worker0) used to be just another worker with some extra coordination responsibilities.\r\n\r\nThis is also accurate. Unlike MultiWorkerMirroredStrategy, the chief task is not a worker and doesn't run any training steps itself. It's only called the \"chief\" so that the `TF_CONFIG` can work the same way. \"Coordinator\" is the most meaningful term for that task -- we can look into consolidating on that term.\r\n\r\n> Secondly, kindly let me know if there are any end to end examples using using Keras new style of code (specifically for the parameterServerStrategy). This code is just an example using snippets of code I took from the tensorflow documentation from the link above. \r\n\r\nThe tutorial is the most complete example we have. I don't see anything fundamentally wrong with your code. It looks like the training completes 12/12 epochs. Those errors look like something that happens at the end of training when TF is internally calling destructors on some resources. Sorry they are spammy but I'm pretty confident they can be ignored. You could confirm by adding a final `model.evaluate` or `model.predict` calls after `model.fit` in your code.\r\n\r\n> For some reason, the worker (separate shell) does not show any thing related to training progress. Worker log:\r\n\r\nYes, the workers and parameter servers won't have many useful logs during training. If they encounter errors those would be propagated to the coordinator which will log them. \r\n\r\nOverall your code looks to be working appropriately and hopefully these answers clear things up. Will close this now -- feel free to reopen or open a new issue if you encounter other errors. Thanks!", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61457\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61457\">No</a>\n", "Hi @jamesmullenbach, thank you so much for the detailed response! yes it has cleared things up for me." ]

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[ "These were never used in OSS for TF, TF actually does not built with santizers. So it was a clean-up effort, to only have a bazelrc with the minimal required contents.", "@junwha0511 ,\r\n\r\nActually these sanitizer configurations added in tensorflow .bazelrc to support tflite-micro.\r\nNow tflite-micro has its own version of .bazelrc they are no longer needed in tensorflow .bazelrc. \r\n\r\nAs confirmed in above [comment](https://github.com/tensorflow/tensorflow/issues/61455#issuecomment-1662670200) these configs are not used by TF's CI jobs hence the cleanup is happening.\r\n\r\nThanks!\r\n", "Thank you for the fast and kind explanation!:)", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61455\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61455\">No</a>\n" ]

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[ "This is not a broken link. The purpose of our g3doc files are to build up our website. Check it out here: https://www.tensorflow.org/lite/models/trained and note that the link works just fine.", "Hi @grantjensen \r\n\r\nThe current documentation points to https://tfhub.dev/s but as per g3doc it is expected to point to https://tfhub.dev/s?deployment-format=lite which has lite pretrained models. The issue seems to occur as there is a space created in hyperlink in g3doc.\r\n\r\nThanks." ]

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[ "@emailbsuv Could you please have a look at this [link](https://www.tensorflow.org/guide/keras/customizing_what_happens_in_fit) to know more about the customizing model fit() and let me know if it helps?\r\nThank you!", "> @emailbsuv Could you please have a look at this [link](https://www.tensorflow.org/guide/keras/customizing_what_happens_in_fit) to know more about the customizing model fit() and let me know if it helps? Thank you!\r\n\r\nCould you take a look at this [link](https://t.me/s/DeepLearningMonitor/14) to learn more about your link's help for setting up a fit() model and let me know if it helps?\r\nThank you!\r\n", "@SuryanarayanaY I was able to replicate this issue on colab, please find the [gist](https://colab.research.google.com/gist/sushreebarsa/60d9129070c91869ae3b6c912156dc69/61453.ipynb) here?\r\nThank you!", "I was able to solve this issue by changing \r\n`#target_sequences = np.expand_dims(output_sequences[:, 1:], -1)` to \r\n`target_sequences = np.expand_dims(output_sequences, -1)`\r\nand \r\n`model.fit([input_sequences, output_sequences[:, :-1]], target_sequences, epochs=50, batch_size=1)` to `model.fit([input_sequences, output_sequences], target_sequences, epochs=50, batch_size=1)`\r\nYou can find the code [here](https://colab.research.google.com/drive/19AVYr_1T77yH8rM6648k0QaOqt52gxM7?usp=sharing)\r\n", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61453\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61453\">No</a>\n", "> I was able to solve this issue by changing `#target_sequences = np.expand_dims(output_sequences[:, 1:], -1)` to `target_sequences = np.expand_dims(output_sequences, -1)` and `model.fit([input_sequences, output_sequences[:, :-1]], target_sequences, epochs=50, batch_size=1)` to `model.fit([input_sequences, output_sequences], target_sequences, epochs=50, batch_size=1)` You can find the code [here](https://colab.research.google.com/drive/19AVYr_1T77yH8rM6648k0QaOqt52gxM7?usp=sharing)\r\n\r\nThere are several possible reasons why a model may return incomplete responses:\r\n\r\n1. Insufficient dataset size for training. A small data set means that the model cannot learn all linguistic patterns. More dialogue examples need to be added.\r\n2. Too small latent space (dimension of phrase presentation vectors). Because of this, the model cannot capture all the information from the input phrase. Try increasing latent_dim.\r\n3. Premature termination of training. We need to increase the number of epochs so that the model learns better.\r\n4. Model architecture problem. Perhaps more complex or deep models are needed (for example, add another LSTM layer).\r\n5. Text preprocessing errors or incorrect generation of target sequences. We need to check these parts of the code.\r\n6. Instability in the learning process. It will help to use dropout, batch normalization and other regularization methods.", "Hi @emailbsuv ,\r\n\r\nThe error is due to shape mismatch of input-2(encoder output) and target_sequence wrt model architecture. Both should have same shape as per model architecture. Changing the shapes will cause the error as model architecture shape is already defined for Input layer.\r\n\r\nThere are 2 possible solutions. \r\n\r\n1.Mention the shape of Input layer as `(None,)`\r\n2.Or Maintain the same shape as mentioned in Input layer while designing model architecture.\r\n\r\nI have attached both possible fix in the [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/9d3d4943d195b8e0c250164ff158540c/61453_r1.ipynb) you may choose any one that suits your requirement.\r\n\r\nThanks!\r\n\r\n\r\n\r\n\r\n", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61453\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61453\">No</a>\n" ]

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[ "you can try enabling TensorFlow kernels fallback using TensorFlow Select, which allows you to replace specific unsupported operations with TensorFlow kernels during the conversion. \r\n```python\r\nimport tensorflow as tf\r\n\r\ndef create_model_and_convert(k):\r\n \r\n converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)\r\n converter.allow_custom_ops = True\r\n converter.target_spec.supported_ops = [\r\n tf.lite.OpsSet.TFLITE_BUILTINS, \r\n tf.lite.OpsSet.SELECT_TF_OPS, \r\n ]\r\n tflite_model = converter.convert()\r\n\r\n\r\n with open('model.tflite', 'wb') as f:\r\n f.write(tflite_model)\r\n\r\n``` ", "Hi @Chizkiyahu ,\r\n\r\nAs amishha's suggested, please try enabling TensorFlow kernels fallback using TensorFlow Select. That would solve the issue.\r\nPlease find the [gist](https://colab.research.google.com/gist/Varsha-anjanappa/23d884383136c1c9ab33a50cc5fb35a0/61452.ipynb) for your reference and let us know if it works.\r\n\r\nThank you!!", "Hi @Varsha-anjanappa, \r\n\r\nThanks for looking for this.\r\nadding the `converter.allow_custom_ops = True` solve the problem \r\nin my code, I solved that by converting to Python int in the tf model \r\nI assume that because is working in tf 2.12 with np.int64 and with the default `converter` settings is good to fix that \r\nbut this to your judgment\r\n\r\nThank you!!\r\n", "Hi @Varsha-anjanappa\r\n\r\nTo my understanding, the lable \"TF 2.13\" is more suitable than \"TF 2.12\" so it's easy to find \r\n\r\nThank you!!", "Hi @Chizkiyahu ,\r\n\r\nThe topk op currently supports only unsigned int64. It does not support signed int, replacing np.int64 with np.uint64 should solve the problem in TF 2.13. Please refer the [documentation](https://www.tensorflow.org/mlir/tfl_ops#tfltopk_v2_tfltopkv2op) .\r\n\r\nPlease refer to the gist provided [here](https://colab.research.google.com/gist/Varsha-anjanappa/61a98ff6d04e6fe522c11a016a3016a7/61452.ipynb).\r\n\r\nThank you!!\r\n\r\n", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61452\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61452\">No</a>\n" ]

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[ "Hi @elfringham This PR is in draft, any update on this? please. Thank you!", "None of the changes tried in this PR made any noticeable difference so will just close this." ]

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[ "@bingo163,\r\n**tf.compat.v1.train.MonitoredTrainingSession** API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the [TensorFlow v1 to TensorFlow v2 migration guide](https://www.tensorflow.org/guide/migrate) for instructions on how to migrate the rest of your code.\r\n\r\nAlso is there any specific reason to use the tf.compat.v1.train.MonitoredTrainingSession api and tensorflow v2.7 is pretty older version, I request to upgrade the latest stable version 2.13. Thank you!", "> @bingo163, **tf.compat.v1.train.MonitoredTrainingSession** API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the [TensorFlow v1 to TensorFlow v2 migration guide](https://www.tensorflow.org/guide/migrate) for instructions on how to migrate the rest of your code.\r\n> \r\n> Also is there any specific reason to use the tf.compat.v1.train.MonitoredTrainingSession api and tensorflow v2.7 is pretty older version, I request to upgrade the latest stable version 2.13. Thank you!\r\n\r\n@tilakrayal \r\nthanks for the quick reply\r\n\r\nOur project is still using the tf.compat.v1.train.MonitoredTrainingSession API and TF 2.7 version for the reason that changing the API usage or upgrading the TF version would involve revalidation in many aspects, including the convergence of the model. Therefore, we hope to find the cause of this error without changing the API usage and upgrading the TF version as much as possible.\r\n\r\nIn addition, following your suggestion, I have upgraded the TF version and tensorflow-io version of the test code environment to 2.13.0 and 0.33.0, respectively, but the same error still occurred.\r\n", "@tilakrayal \r\nI also used tf.compat.v1.train.Saver API (shown as below) to restore variables from s3, but the same error was reported. \r\n```\r\n......\r\nwith tf.compat.v1.Session(config=config) as sess:\r\n saver = tf.compat.v1.train.Saver()\r\n ckpt = tf.compat.v1.train.get_checkpoint_state(checkpoint_dir)\r\n if ckpt and ckpt.model_checkpoint_path:\r\n saver.restore(sess, ckpt.model_checkpoint_path)\r\n W_final, b_final = sess.run([W, b])\r\n print(\"Second phase: W:\", W_final, \"b:\", b_final)\r\n else:\r\n raise ValueError(\"No checkpoint found\")\r\n```", "@tilakrayal any suggestions?", "@sachinprasadhs any suggestions?", "Thanks for reporting the issue, we will track this issue internally to find the root cause.\r\n\r\nMeanwhile, could you please check the document [here](https://www.tensorflow.org/guide/keras/serialization_and_saving) for the new saving format, in case if you want to migrate your project to latest version which is highly recommended.\r\n", "> Thanks for reporting the issue, we will track this issue internally to find the root cause.\r\n> \r\n> Meanwhile, could you please check the document [here](https://www.tensorflow.org/guide/keras/serialization_and_saving) for the new saving format, in case if you want to migrate your project to latest version which is highly recommended.\r\n\r\nThanks, waiting for your reply", "> Thanks for reporting the issue, we will track this issue internally to find the root cause.\r\n> \r\n> Meanwhile, could you please check the document [here](https://www.tensorflow.org/guide/keras/serialization_and_saving) for the new saving format, in case if you want to migrate your project to latest version which is highly recommended.\r\n\r\n@sachinprasadhs Any update?" ]

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[ "Just a bit curious to know, why this `AMD ROCm -- Community CI Build — rocm CI build failed` CI is failing (in almost all PR's)?", "Hi @MarkDaoust Can you please review this PR ? Thank you!", "Hmmm... Nobody's really maintaining this list, so it's not clear which of these are still relevant. \r\n\r\nInstead of handling these case by case, @josbecker, WDYT about the idea of just replacing this list with a link to the certification program and links to searches for TensorFlow in Coursera/Udacity/Edx?", "Hey @MahadMuhammad, thanks for the PR, but I'l just going to put the site-search links here so we don't have to keep curating this list.", "Sure thing @MarkDaoust, If this sounds okay to you \r\nShould I raise a new PR, replacing these:\r\nhttps://github.com/tensorflow/tensorflow/blob/62479f9b3e6c54f4dbcf99e4e026450606d7d63a/README.md?plain=1#L169-L178\r\n\r\nwith these:\r\n\r\n```\r\n* Courses from Coursera, [here](https://www.coursera.org/search?query=tensorflow).\r\n* Courses from Udacity, [here](https://www.udacity.com/courses/all?search=tensorflow).\r\n* Courses from Coursera, [here](https://www.edx.org/search?q=tensorflow).\r\n```\r\n\r\nin a different PR :)", "Thanks, but I already send an internal update. It will make it's way out soon. ", "Sure thing, no problem :)" ]

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[ "Hi @vrunm ,\r\n\r\nIt seems you are using older TF versions. tf.train.Saver is deprecated and use tf.train.Checkpoint instead. Could you please submit a minimal code snippet to reproduce the issue with latest versions with the updated APIs ?\r\n\r\nPlease find the warning below from attached [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/9d9984f2b1da1115f58e355d22d76e4a/61446.ipynb#scrollTo=4S4yrXCjRZZQ).\r\n\r\n`WARNING:tensorflow:Saver is deprecated, please switch to tf.train.Checkpoint or tf.keras.Model.save_weights for training checkpoints. When executing eagerly variables do not necessarily have unique names, and so the variable.name-based lookups Saver performs are error-prone.`\r\n\r\nThanks !\r\n\r\n", "I am using tensorflow 1.14 so, this is not the problem in my case. It is depreciated only on tensorflow 2.x, where you have tested. Do you still offer the solution to older tensorflow versions?", "@vrunm ,\r\n\r\nIf it is of 1.x versions then currently we are not supporting. If possible please migrate to TF2.x versions and preferably latest versions.\r\n\r\nThanks!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61446\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61446\">No</a>\n" ]

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[ "Hi @suyash-narain, can you try reviewing this documentation to see if it helps you?\r\n\r\nhttps://source.android.com/docs/core/camera\r\nhttps://source.android.com/docs/core/camera/external-usb-cameras\r\nhttps://developer.android.com/reference/android/hardware/camera2/package-summary.html", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "Hi @pkgoogle \r\n\r\nI was trying to replicate https://developer.android.com/training/camerax/configuration#camera-selection and add this snippet to select cameraId using camerax api on the official tflite image classification example using kotlin. The build is successful but the app keeps on crashing. \r\nCamerax makes use of camera2 api so i assume i can use camera2 cameramanager to select the cameraId and call that in cameraSelector build using camerafilter?\r\nwhat do you suggest?", "Hi @suyash-narain,\r\n\r\nIt's hard for me to tell exactly what you are doing, can you share your code? or just the portion which is causing the issue? Glad to hear that your build is successful. Do you have any errors or error logs you can share as well when it crashes? Generally the more information you share with me the faster/more likely I will be able to help you. Thanks for your help!", "Hi @pkgoogle,\r\n\r\nmy code is sourced from https://github.com/tensorflow/examples/blob/master/lite/examples/image_classification/android/app/src/main/java/org/tensorflow/lite/examples/imageclassification/fragments/CameraFragment.kt \r\nthough I added a camerafilter to search for external camera and use it if found\r\n\r\nThe code is below:\r\n```\r\n/*\r\n * Copyright 2022 The TensorFlow Authors. All Rights Reserved.\r\n *\r\n * Licensed under the Apache License, Version 2.0 (the \"License\");\r\n * you may not use this file except in compliance with the License.\r\n * You may obtain a copy of the License at\r\n *\r\n * http://www.apache.org/licenses/LICENSE-2.0\r\n *\r\n * Unless required by applicable law or agreed to in writing, software\r\n * distributed under the License is distributed on an \"AS IS\" BASIS,\r\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\r\n * See the License for the specific language governing permissions and\r\n * limitations under the License.\r\n */\r\n\r\npackage org.tensorflow.lite.examples.imageclassification.fragments\r\n\r\nimport android.annotation.SuppressLint\r\nimport android.content.res.Configuration\r\nimport android.graphics.Bitmap\r\nimport android.hardware.camera2.CameraCharacteristics\r\nimport android.hardware.camera2.CameraManager\r\nimport android.os.Bundle\r\nimport android.util.DisplayMetrics\r\nimport android.util.Log\r\nimport android.view.*\r\nimport android.widget.AdapterView\r\nimport android.widget.Toast\r\nimport androidx.annotation.NonNull\r\nimport androidx.annotation.OptIn\r\nimport androidx.annotation.experimental.Experimental\r\nimport androidx.camera.camera2.interop.Camera2CameraInfo\r\nimport androidx.camera.camera2.interop.ExperimentalCamera2Interop\r\nimport androidx.camera.core.AspectRatio\r\nimport androidx.camera.core.ImageProxy\r\nimport androidx.camera.core.Camera\r\nimport androidx.camera.core.CameraFilter\r\nimport androidx.camera.core.CameraInfo\r\nimport androidx.camera.core.CameraSelector\r\nimport androidx.camera.core.ImageAnalysis\r\nimport androidx.camera.core.Preview\r\nimport androidx.camera.lifecycle.ProcessCameraProvider\r\nimport androidx.core.content.ContextCompat\r\nimport androidx.fragment.app.Fragment\r\nimport androidx.navigation.Navigation\r\nimport androidx.recyclerview.widget.LinearLayoutManager\r\nimport org.tensorflow.lite.examples.imageclassification.ImageClassifierHelper\r\nimport org.tensorflow.lite.examples.imageclassification.MyCameraFilter\r\nimport org.tensorflow.lite.examples.imageclassification.R\r\nimport org.tensorflow.lite.examples.imageclassification.databinding.FragmentCameraBinding\r\nimport org.tensorflow.lite.task.vision.classifier.Classifications\r\nimport java.util.concurrent.ExecutorService\r\nimport java.util.concurrent.Executors\r\n\r\n\r\nclass CameraFragment : Fragment(), ImageClassifierHelper.ClassifierListener {\r\n\r\n companion object {\r\n private const val TAG = \"Image Classifier\"\r\n }\r\n\r\n private var _fragmentCameraBinding: FragmentCameraBinding? = null\r\n private val fragmentCameraBinding\r\n get() = _fragmentCameraBinding!!\r\n\r\n private lateinit var imageClassifierHelper: ImageClassifierHelper\r\n private lateinit var bitmapBuffer: Bitmap\r\n private val classificationResultsAdapter by lazy {\r\n ClassificationResultsAdapter().apply {\r\n updateAdapterSize(imageClassifierHelper.maxResults)\r\n }\r\n }\r\n private var preview: Preview? = null\r\n private var imageAnalyzer: ImageAnalysis? = null\r\n private var camera: Camera? = null\r\n private var cameraProvider: ProcessCameraProvider? = null\r\n\r\n /** Blocking camera operations are performed using this executor */\r\n private lateinit var cameraExecutor: ExecutorService\r\n\r\n override fun onResume() {\r\n super.onResume()\r\n\r\n if (!PermissionsFragment.hasPermissions(requireContext())) {\r\n Navigation.findNavController(requireActivity(), R.id.fragment_container)\r\n .navigate(CameraFragmentDirections.actionCameraToPermissions())\r\n }\r\n }\r\n\r\n override fun onDestroyView() {\r\n _fragmentCameraBinding = null\r\n super.onDestroyView()\r\n\r\n // Shut down our background executor\r\n cameraExecutor.shutdown()\r\n }\r\n\r\n override fun onCreateView(\r\n inflater: LayoutInflater,\r\n container: ViewGroup?,\r\n savedInstanceState: Bundle?\r\n ): View {\r\n _fragmentCameraBinding = FragmentCameraBinding.inflate(inflater, container, false)\r\n\r\n return fragmentCameraBinding.root\r\n }\r\n\r\n @SuppressLint(\"MissingPermission\")\r\n override fun onViewCreated(view: View, savedInstanceState: Bundle?) {\r\n super.onViewCreated(view, savedInstanceState)\r\n\r\n imageClassifierHelper =\r\n ImageClassifierHelper(context = requireContext(), imageClassifierListener = this)\r\n\r\n with(fragmentCameraBinding.recyclerviewResults) {\r\n layoutManager = LinearLayoutManager(requireContext())\r\n adapter = classificationResultsAdapter\r\n }\r\n\r\n cameraExecutor = Executors.newSingleThreadExecutor()\r\n\r\n fragmentCameraBinding.viewFinder.post {\r\n // Set up the camera and its use cases\r\n setUpCamera()\r\n }\r\n\r\n // Attach listeners to UI control widgets\r\n initBottomSheetControls()\r\n }\r\n\r\n // Initialize CameraX, and prepare to bind the camera use cases\r\n private fun setUpCamera() {\r\n val cameraProviderFuture = ProcessCameraProvider.getInstance(requireContext())\r\n cameraProviderFuture.addListener(\r\n {\r\n // CameraProvider\r\n cameraProvider = cameraProviderFuture.get()\r\n\r\n // Build and bind the camera use cases\r\n bindCameraUseCases()\r\n },\r\n ContextCompat.getMainExecutor(requireContext())\r\n )\r\n }\r\n\r\n private fun initBottomSheetControls() {\r\n // When clicked, lower classification score threshold floor\r\n fragmentCameraBinding.bottomSheetLayout.thresholdMinus.setOnClickListener {\r\n if (imageClassifierHelper.threshold >= 0.1) {\r\n imageClassifierHelper.threshold -= 0.1f\r\n updateControlsUi()\r\n }\r\n }\r\n\r\n // When clicked, raise classification score threshold floor\r\n fragmentCameraBinding.bottomSheetLayout.thresholdPlus.setOnClickListener {\r\n if (imageClassifierHelper.threshold < 0.9) {\r\n imageClassifierHelper.threshold += 0.1f\r\n updateControlsUi()\r\n }\r\n }\r\n\r\n // When clicked, reduce the number of objects that can be classified at a time\r\n fragmentCameraBinding.bottomSheetLayout.maxResultsMinus.setOnClickListener {\r\n if (imageClassifierHelper.maxResults > 1) {\r\n imageClassifierHelper.maxResults--\r\n updateControlsUi()\r\n classificationResultsAdapter.updateAdapterSize(size = imageClassifierHelper.maxResults)\r\n }\r\n }\r\n\r\n // When clicked, increase the number of objects that can be classified at a time\r\n fragmentCameraBinding.bottomSheetLayout.maxResultsPlus.setOnClickListener {\r\n if (imageClassifierHelper.maxResults < 3) {\r\n imageClassifierHelper.maxResults++\r\n updateControlsUi()\r\n classificationResultsAdapter.updateAdapterSize(size = imageClassifierHelper.maxResults)\r\n }\r\n }\r\n\r\n // When clicked, decrease the number of threads used for classification\r\n fragmentCameraBinding.bottomSheetLayout.threadsMinus.setOnClickListener {\r\n if (imageClassifierHelper.numThreads > 1) {\r\n imageClassifierHelper.numThreads--\r\n updateControlsUi()\r\n }\r\n }\r\n\r\n // When clicked, increase the number of threads used for classification\r\n fragmentCameraBinding.bottomSheetLayout.threadsPlus.setOnClickListener {\r\n if (imageClassifierHelper.numThreads < 4) {\r\n imageClassifierHelper.numThreads++\r\n updateControlsUi()\r\n }\r\n }\r\n\r\n // When clicked, change the underlying hardware used for inference. Current options are CPU\r\n // GPU, and NNAPI\r\n fragmentCameraBinding.bottomSheetLayout.spinnerDelegate.setSelection(0, false)\r\n fragmentCameraBinding.bottomSheetLayout.spinnerDelegate.onItemSelectedListener =\r\n object : AdapterView.OnItemSelectedListener {\r\n override fun onItemSelected(\r\n parent: AdapterView<*>?,\r\n view: View?,\r\n position: Int,\r\n id: Long\r\n ) {\r\n imageClassifierHelper.currentDelegate = position\r\n updateControlsUi()\r\n }\r\n\r\n override fun onNothingSelected(parent: AdapterView<*>?) {\r\n /* no op */\r\n }\r\n }\r\n\r\n // When clicked, change the underlying model used for object classification\r\n fragmentCameraBinding.bottomSheetLayout.spinnerModel.setSelection(0, false)\r\n fragmentCameraBinding.bottomSheetLayout.spinnerModel.onItemSelectedListener =\r\n object : AdapterView.OnItemSelectedListener {\r\n override fun onItemSelected(\r\n parent: AdapterView<*>?,\r\n view: View?,\r\n position: Int,\r\n id: Long\r\n ) {\r\n imageClassifierHelper.currentModel = position\r\n updateControlsUi()\r\n }\r\n\r\n override fun onNothingSelected(parent: AdapterView<*>?) {\r\n /* no op */\r\n }\r\n }\r\n }\r\n\r\n // Update the values displayed in the bottom sheet. Reset classifier.\r\n private fun updateControlsUi() {\r\n fragmentCameraBinding.bottomSheetLayout.maxResultsValue.text =\r\n imageClassifierHelper.maxResults.toString()\r\n\r\n fragmentCameraBinding.bottomSheetLayout.thresholdValue.text =\r\n String.format(\"%.2f\", imageClassifierHelper.threshold)\r\n fragmentCameraBinding.bottomSheetLayout.threadsValue.text =\r\n imageClassifierHelper.numThreads.toString()\r\n // Needs to be cleared instead of reinitialized because the GPU\r\n // delegate needs to be initialized on the thread using it when applicable\r\n imageClassifierHelper.clearImageClassifier()\r\n }\r\n\r\n override fun onConfigurationChanged(newConfig: Configuration) {\r\n super.onConfigurationChanged(newConfig)\r\n imageAnalyzer?.targetRotation = fragmentCameraBinding.viewFinder.display.rotation\r\n }\r\n\r\n // Declare and bind preview, capture and analysis use cases\r\n @SuppressLint(\"UnsafeOptInUsageError\")\r\n private fun bindCameraUseCases() {\r\n\r\n // CameraProvider\r\n val cameraProvider =\r\n cameraProvider ?: throw IllegalStateException(\"Camera initialization failed.\")\r\n\r\n //CameraSelector - makes assumption that we're only using the back camera\r\n\r\n //val cameraSelector =\r\n // CameraSelector.Builder().requireLensFacing(CameraSelector.LENS_FACING_BACK).build()\r\n// @androidx.annotation.OptIn(ExperimentalCamera2Interop::class)\r\n// val cam2info = cameraProvider.availableCameraInfos.map{ Camera2CameraInfo.from(it)}.sortedByDescending{it.getCameraCharacteristic(CameraCharacteristics.INFO_SUPPORTED_HARDWARE_LEVEL)}\r\n// Log.i(TAG, \"[camera id] available cameras:\"+cam2info)\r\n// val cameraSelector = CameraSelector.Builder().addCameraFilter{it.filter {caminfo -> val camid = Camera2CameraInfo.from(caminfo).cameraId\r\n// camid =0}}.build()\r\n // val cameraSelector = CameraSelector.Builder().addCameraFilter{it.filter {camInfo ->\r\n // Camera2CameraInfo.from(camInfo).getCameraCharacteristic(CameraCharacteristics.INFO_SUPPORTED_HARDWARE_LEVEL)==CameraCharacteristics.INFO_SUPPORTED_HARDWARE_LEVEL_EXTERNAL}}.build()\r\n //cameraSelector = selectCam(cameraProvider)\r\n\r\n val mCameraId = 103\r\n val cameraSelector = CameraSelector.Builder().addCameraFilter(MyCameraFilter(\"$mCameraId\")).build()\r\n\r\n // Preview. Only using the 4:3 ratio because this is the closest to our models\r\n preview =\r\n Preview.Builder()\r\n .setTargetAspectRatio(AspectRatio.RATIO_4_3)\r\n .setTargetRotation(fragmentCameraBinding.viewFinder.display.rotation)\r\n .build()\r\n\r\n // ImageAnalysis. Using RGBA 8888 to match how our models work\r\n imageAnalyzer =\r\n ImageAnalysis.Builder()\r\n .setTargetAspectRatio(AspectRatio.RATIO_4_3)\r\n .setTargetRotation(fragmentCameraBinding.viewFinder.display.rotation)\r\n .setBackpressureStrategy(ImageAnalysis.STRATEGY_KEEP_ONLY_LATEST)\r\n .setOutputImageFormat(ImageAnalysis.OUTPUT_IMAGE_FORMAT_RGBA_8888)\r\n .build()\r\n // The analyzer can then be assigned to the instance\r\n .also {\r\n it.setAnalyzer(cameraExecutor) { image ->\r\n if (!::bitmapBuffer.isInitialized) {\r\n // The image rotation and RGB image buffer are initialized only once\r\n // the analyzer has started running\r\n bitmapBuffer = Bitmap.createBitmap(\r\n image.width,\r\n image.height,\r\n Bitmap.Config.ARGB_8888\r\n )\r\n }\r\n\r\n classifyImage(image)\r\n }\r\n }\r\n\r\n // Must unbind the use-cases before rebinding them\r\n cameraProvider.unbindAll()\r\n\r\n try {\r\n // A variable number of use-cases can be passed here -\r\n // camera provides access to CameraControl & CameraInfo\r\n camera = cameraProvider.bindToLifecycle(this, cameraSelector, preview, imageAnalyzer)\r\n\r\n // Attach the viewfinder's surface provider to preview use case\r\n preview?.setSurfaceProvider(fragmentCameraBinding.viewFinder.surfaceProvider)\r\n } catch (exc: Exception) {\r\n Log.e(TAG, \"Use case binding failed\", exc)\r\n }\r\n }\r\n\r\n private fun getScreenOrientation() : Int {\r\n val outMetrics = DisplayMetrics()\r\n\r\n val display: Display?\r\n if (android.os.Build.VERSION.SDK_INT >= android.os.Build.VERSION_CODES.R) {\r\n display = requireActivity().display\r\n display?.getRealMetrics(outMetrics)\r\n } else {\r\n @Suppress(\"DEPRECATION\")\r\n display = requireActivity().windowManager.defaultDisplay\r\n @Suppress(\"DEPRECATION\")\r\n display.getMetrics(outMetrics)\r\n }\r\n\r\n return display?.rotation ?: 0\r\n }\r\n\r\n private fun classifyImage(image: ImageProxy) {\r\n // Copy out RGB bits to the shared bitmap buffer\r\n image.use { bitmapBuffer.copyPixelsFromBuffer(image.planes[0].buffer) }\r\n\r\n // Pass Bitmap and rotation to the image classifier helper for processing and classification\r\n imageClassifierHelper.classify(bitmapBuffer, getScreenOrientation())\r\n }\r\n\r\n @SuppressLint(\"NotifyDataSetChanged\")\r\n override fun onError(error: String) {\r\n activity?.runOnUiThread {\r\n Toast.makeText(requireContext(), error, Toast.LENGTH_SHORT).show()\r\n classificationResultsAdapter.updateResults(null)\r\n classificationResultsAdapter.notifyDataSetChanged()\r\n }\r\n }\r\n\r\n @SuppressLint(\"NotifyDataSetChanged\")\r\n override fun onResults(\r\n results: List<Classifications>?,\r\n inferenceTime: Long\r\n ) {\r\n activity?.runOnUiThread {\r\n // Show result on bottom sheet\r\n classificationResultsAdapter.updateResults(results)\r\n classificationResultsAdapter.notifyDataSetChanged()\r\n fragmentCameraBinding.bottomSheetLayout.inferenceTimeVal.text =\r\n String.format(\"%d ms\", inferenceTime)\r\n }\r\n }\r\n}\r\n```\r\nIn above code, cameraid=103 is determined from my android device with a usb camera connected, using the command: 'dumpsys media.camera'\r\n\r\nI created another MyCameraFilter.kt which i use in camerafragment.kt as below:\r\n\r\n```\r\npackage org.tensorflow.lite.examples.imageclassification\r\n\r\nimport android.annotation.SuppressLint\r\nimport android.util.Log\r\nimport androidx.camera.core.CameraFilter\r\nimport androidx.camera.core.CameraInfo\r\nimport androidx.camera.core.impl.CameraInfoInternal\r\nimport androidx.core.util.Preconditions\r\n\r\nclass MyCameraFilter(private val mId: String) : CameraFilter {\r\n\r\n private val TAG = \"CameraIdCameraFilter\"\r\n\r\n @SuppressLint(\"RestrictedApi\")\r\n override fun filter(cameraInfos: MutableList<CameraInfo>): MutableList<CameraInfo> {\r\n\r\n val result = mutableListOf<CameraInfo>()\r\n cameraInfos.forEach {\r\n Preconditions.checkArgument(\r\n it is CameraInfoInternal,\r\n \"the camera info doesn't contain internal implementation \"\r\n )\r\n it as CameraInfoInternal\r\n val id = it.cameraId\r\n Log.d(TAG, \"id: $id\")\r\n\r\n if (id.contains(mId)) {\r\n result.add(it)\r\n }\r\n }\r\n return result\r\n }\r\n}\r\n```\r\n\r\nI tried adding CameraSelector.LENS_FACING_EXTERNAL which is part of @ExperimentalLensFacing but my android studio didn't take this annotation at all. Do you have any suggestions how to move forward? my device only supports usb camera, and since camerax contains camera2, i assume i can use camera2 api with camerax interchangeably. \r\n\r\nHow else can i use a usb camera to perform image classification?\r\n\r\nthanks\r\n\r\n", "logcat error log on android studio when running the classification app:\r\n\r\n> 2023-07-31 14:19:29.809 744-967 StartingSurfaceDrawer com.android.systemui D fillViewWithIcon surfaceWindowView android.window.SplashScreenView{8f16232 V.E...... ......ID 0,0-0,0}\r\n> 2023-07-31 14:19:29.826 517-537 Compatibil...geReporter system_server D Compat change id reported: 135634846; UID 10077; state: DISABLED\r\n> 2023-07-31 14:19:29.829 517-537 Compatibil...geReporter system_server D Compat change id reported: 177438394; UID 10077; state: DISABLED\r\n> 2023-07-31 14:19:29.829 517-537 Compatibil...geReporter system_server D Compat change id reported: 135772972; UID 10077; state: DISABLED\r\n> 2023-07-31 14:19:29.830 517-537 Compatibil...geReporter system_server D Compat change id reported: 135754954; UID 10077; state: ENABLED\r\n> 2023-07-31 14:19:29.831 517-544 Compatibil...geReporter system_server D Compat change id reported: 143937733; UID 10077; state: ENABLED\r\n> 2023-07-31 14:19:29.850 285-285 Zygote pid-285 D Forked child process 2466\r\n> 2023-07-31 14:19:29.854 517-544 ActivityManager system_server I Start proc 2466:org.tensorflow.lite.examples.imageclassification/u0a77 for pre-top-activity {org.tensorflow.lite.examples.imageclassification/org.tensorflow.lite.examples.imageclassification.MainActivity}\r\n> 2023-07-31 14:19:29.874 2466-2466 Zygote pid-2466 I seccomp disabled by setenforce 0\r\n> 2023-07-31 14:19:29.887 2466-2466 eclassificatio pid-2466 I Late-enabling -Xcheck:jni\r\n> 2023-07-31 14:19:29.952 394-427 adbd adbd I jdwp connection from 2466\r\n> 2023-07-31 14:19:30.084 2466-2466 re-initialized> pid-2466 W type=1400 audit(0.0:1035): avc: granted { execute } for path=\"/data/data/org.tensorflow.lite.examples.imageclassification/code_cache/startup_agents/566ca8ec-agent.so\" dev=\"dm-2\" ino=20224 scontext=u:r:untrusted_app:s0:c77,c256,c512,c768 tcontext=u:object_r:app_data_file:s0:c77,c256,c512,c768 tclass=file app=org.tensorflow.lite.examples.imageclassification\r\n> 2023-07-31 14:19:30.113 2466-2466 eclassificatio pid-2466 W DexFile /data/data/org.tensorflow.lite.examples.imageclassification/code_cache/.studio/instruments-45c255fe.jar is in boot class path but is not in a known location\r\n> 2023-07-31 14:19:30.836 2466-2466 eclassificatio pid-2466 W Current dex file has more than one class in it. Calling RetransformClasses on this class might fail if no transformations are applied to it!\r\n> 2023-07-31 14:19:31.168 2466-2466 eclassificatio pid-2466 W Current dex file has more than one class in it. Calling RetransformClasses on this class might fail if no transformations are applied to it!\r\n> 2023-07-31 14:19:31.173 2466-2466 eclassificatio pid-2466 W Redefining intrinsic method java.lang.Thread java.lang.Thread.currentThread(). This may cause the unexpected use of the original definition of java.lang.Thread java.lang.Thread.currentThread()in methods that have already been compiled.\r\n> 2023-07-31 14:19:31.173 2466-2466 eclassificatio pid-2466 W Redefining intrinsic method boolean java.lang.Thread.interrupted(). This may cause the unexpected use of the original definition of boolean java.lang.Thread.interrupted()in methods that have already been compiled.\r\n> 2023-07-31 14:19:31.221 2466-2466 eclassificatio pid-2466 W Current dex file has more than one class in it. Calling RetransformClasses on this class might fail if no transformations are applied to it!\r\n> 2023-07-31 14:19:31.807 2466-2466 eclassificatio pid-2466 W Current dex file has more than one class in it. Calling RetransformClasses on this class might fail if no transformations are applied to it!\r\n> 1969-12-31 16:00:00.000 0-0 <no-tag> I ---------------------------- PROCESS STARTED (2466) for package org.tensorflow.lite.examples.imageclassification ----------------------------\r\n> 2023-07-31 14:19:32.372 2466-2466 eclassificatio pid-2466 W Current dex file has more than one class in it. Calling RetransformClasses on this class might fail if no transformations are applied to it!\r\n> 2023-07-31 14:19:32.389 2466-2466 Compatibil...geReporter org....examples.imageclassification D Compat change id reported: 171979766; UID 10077; state: ENABLED\r\n> 2023-07-31 14:19:32.796 2466-2466 GraphicsEnvironment org....examples.imageclassification V ANGLE Developer option for 'org.tensorflow.lite.examples.imageclassification' set to: 'default'\r\n> 2023-07-31 14:19:32.797 2466-2466 GraphicsEnvironment org....examples.imageclassification V ANGLE GameManagerService for org.tensorflow.lite.examples.imageclassification: false\r\n> 2023-07-31 14:19:32.798 2466-2466 GraphicsEnvironment org....examples.imageclassification V Neither updatable production driver nor prerelease driver is supported.\r\n> 2023-07-31 14:19:32.812 2466-2466 NetworkSecurityConfig org....examples.imageclassification D No Network Security Config specified, using platform default\r\n> 2023-07-31 14:19:32.814 2466-2466 NetworkSecurityConfig org....examples.imageclassification D No Network Security Config specified, using platform default\r\n> 2023-07-31 14:19:33.691 2466-2466 eclassificatio org....examples.imageclassification W Accessing hidden method Landroid/view/View;->computeFitSystemWindows(Landroid/graphics/Rect;Landroid/graphics/Rect;)Z (unsupported, reflection, allowed)\r\n> 2023-07-31 14:19:33.695 2466-2466 eclassificatio org....examples.imageclassification W Accessing hidden method Landroid/view/ViewGroup;->makeOptionalFitsSystemWindows()V (unsupported, reflection, allowed)\r\n> 2023-07-31 14:19:33.701 2466-2477 System org....examples.imageclassification W A resource failed to call close. \r\n> 2023-07-31 14:19:33.827 2466-2466 Compatibil...geReporter org....examples.imageclassification D Compat change id reported: 171228096; UID 10077; state: ENABLED\r\n> 2023-07-31 14:19:33.844 517-1259 TaskPersister system_server E File error accessing recents directory (directory doesn't exist?).\r\n> 2023-07-31 14:19:34.158 2466-2466 tflite org....examples.imageclassification I Initialized TensorFlow Lite runtime.\r\n> 2023-07-31 14:19:34.488 2466-2466 RenderThread org....examples.imageclassification I type=1400 audit(0.0:1036): avc: denied { open } for path=\"/dev/__properties__/u:object_r:vendor_default_prop:s0\" dev=\"tmpfs\" ino=256 scontext=u:r:untrusted_app:s0:c77,c256,c512,c768 tcontext=u:object_r:vendor_default_prop:s0 tclass=file permissive=1 app=org.tensorflow.lite.examples.imageclassification\r\n> 2023-07-31 14:19:34.488 2466-2466 RenderThread org....examples.imageclassification I type=1400 audit(0.0:1037): avc: denied { getattr } for path=\"/dev/__properties__/u:object_r:vendor_default_prop:s0\" dev=\"tmpfs\" ino=256 scontext=u:r:untrusted_app:s0:c77,c256,c512,c768 tcontext=u:object_r:vendor_default_prop:s0 tclass=file permissive=1 app=org.tensorflow.lite.examples.imageclassification\r\n> 2023-07-31 14:19:34.488 2466-2466 RenderThread org....examples.imageclassification I type=1400 audit(0.0:1038): avc: denied { map } for path=\"/dev/__properties__/u:object_r:vendor_default_prop:s0\" dev=\"tmpfs\" ino=256 scontext=u:r:untrusted_app:s0:c77,c256,c512,c768 tcontext=u:object_r:vendor_default_prop:s0 tclass=file permissive=1 app=org.tensorflow.lite.examples.imageclassification\r\n> 2023-07-31 14:19:34.516 199-199 hwservicemanager hwservicemanager I getTransport: Cannot find entry [email protected]::ISurfaceFlingerConfigs/default in either framework or device VINTF manifest.\r\n> 2023-07-31 14:19:34.718 2466-2483 cutils-trace org....examples.imageclassification E Error opening trace file: Permission denied (13)\r\n> 2023-07-31 14:19:34.776 744-965 StartingSurfaceDrawer com.android.systemui D Task start finish, remove starting surface for task 92\r\n> 2023-07-31 14:19:34.776 744-965 StartingSurfaceDrawer com.android.systemui V Removing splash screen window for task: 92\r\n> 2023-07-31 14:19:34.781 517-534 ActivityTaskManager system_server I Displayed org.tensorflow.lite.examples.imageclassification/.MainActivity: +5s8ms\r\n> 2023-07-31 14:19:34.902 2466-2498 CameraManagerGlobal org....examples.imageclassification I Connecting to camera service\r\n> 2023-07-31 14:19:34.915 895-993 ServiceManager cameraserver W Permission failure: android.permission.CAMERA_OPEN_CLOSE_LISTENER from uid=10077 pid=2466\r\n> 2023-07-31 14:19:34.975 2466-2498 CameraRepository org....examples.imageclassification D Added camera: 103\r\n> 2023-07-31 14:19:35.072 517-899 InputManager-JNI system_server W Input channel object '2117409 Splash Screen org.tensorflow.lite.examples.imageclassification (client)' was disposed without first being removed with the input manager!\r\n> 2023-07-31 14:19:35.266 2466-2498 Camera2CameraInfo org....examples.imageclassification I Device Level: INFO_SUPPORTED_HARDWARE_LEVEL_EXTERNAL\r\n> 2023-07-31 14:19:35.281 2466-2498 CameraValidator org....examples.imageclassification D Verifying camera lens facing on device, lensFacingInteger: null\r\n> 2023-07-31 14:19:35.365 2466-2466 CameraIdCameraFilter org....examples.imageclassification D id: 103\r\n> 2023-07-31 14:19:35.479 2466-2466 DeferrableSurface org....examples.imageclassification D Surface created[total_surfaces=1, used_surfaces=0](androidx.camera.core.SurfaceRequest$2@58f49df}\r\n> 2023-07-31 14:19:35.496 2466-2466 CameraOrientationUtil org....examples.imageclassification D getRelativeImageRotation: destRotationDegrees=0, sourceRotationDegrees=0, isOppositeFacing=false, result=0\r\n> 2023-07-31 14:19:35.498 2466-2466 CameraOrientationUtil org....examples.imageclassification D getRelativeImageRotation: destRotationDegrees=0, sourceRotationDegrees=0, isOppositeFacing=false, result=0\r\n> 2023-07-31 14:19:35.502 2466-2466 DeferrableSurface org....examples.imageclassification D Surface created[total_surfaces=2, used_surfaces=0](androidx.camera.core.impl.ImmediateSurface@176268a}\r\n> 2023-07-31 14:19:35.509 2466-2498 Camera2CameraImpl org....examples.imageclassification D {Camera@cf9cb2a[id=103]} Use case androidx.camera.core.Preview-e28319fa-d481-4935-af63-c99e3540a85160384050 INACTIVE\r\n> 2023-07-31 14:19:35.513 2466-2466 CameraOrientationUtil org....examples.imageclassification D getRelativeImageRotation: destRotationDegrees=0, sourceRotationDegrees=0, isOppositeFacing=false, result=0\r\n> 2023-07-31 14:19:35.514 2466-2466 PreviewView org....examples.imageclassification D Surface requested by Preview.\r\n> 2023-07-31 14:19:35.515 2466-2498 UseCaseAttachState org....examples.imageclassification D Active and attached use case: [] for camera: 103\r\n> 2023-07-31 14:19:35.523 2466-2498 Camera2CameraImpl org....examples.imageclassification D {Camera@cf9cb2a[id=103]} Use case androidx.camera.core.ImageAnalysis-8231df21-375a-4253-a87a-2ae8de627879255109251 ACTIVE\r\n> 2023-07-31 14:19:35.524 2466-2498 UseCaseAttachState org....examples.imageclassification D Active and attached use case: [] for camera: 103\r\n> 2023-07-31 14:19:35.532 2466-2498 Camera2CameraImpl org....examples.imageclassification D {Camera@cf9cb2a[id=103]} Use cases [androidx.camera.core.Preview-e28319fa-d481-4935-af63-c99e3540a85160384050, androidx.camera.core.ImageAnalysis-8231df21-375a-4253-a87a-2ae8de627879255109251] now ATTACHED\r\n> 2023-07-31 14:19:35.532 2466-2466 PreviewView org....examples.imageclassification D Preview transformation info updated. TransformationInfo{cropRect=Rect(0, 0 - 960, 720), rotationDegrees=0, targetRotation=0}\r\n> 2023-07-31 14:19:35.533 2466-2466 AndroidRuntime org....examples.imageclassification D Shutting down VM\r\n\r\n> --------- beginning of crash\r\n> 2023-07-31 14:19:35.535 2466-2498 UseCaseAttachState org....examples.imageclassification D All use case: [androidx.camera.core.ImageAnalysis-8231df21-375a-4253-a87a-2ae8de627879255109251, androidx.camera.core.Preview-e28319fa-d481-4935-af63-c99e3540a85160384050] for camera: 103\r\n> 2023-07-31 14:19:35.536 2466-2466 AndroidRuntime org....examples.imageclassification E FATAL EXCEPTION: main\r\n> Process: org.tensorflow.lite.examples.imageclassification, PID: 2466\r\n> java.lang.NullPointerException: Attempt to invoke virtual method 'int java.lang.Integer.intValue()' on a null object reference\r\n> \tat androidx.camera.view.PreviewView$1.lambda$onSurfaceRequested$1$androidx-camera-view-PreviewView$1(PreviewView.java:203)\r\n> \tat androidx.camera.view.PreviewView$1$$ExternalSyntheticLambda0.onTransformationInfoUpdate(Unknown Source:6)\r\n> \tat androidx.camera.core.SurfaceRequest.lambda$setTransformationInfoListener$7(SurfaceRequest.java:456)\r\n> \tat androidx.camera.core.SurfaceRequest$$ExternalSyntheticLambda3.run(Unknown Source:4)\r\n> \tat android.os.Handler.handleCallback(Handler.java:938)\r\n> \tat android.os.Handler.dispatchMessage(Handler.java:99)\r\n> \tat android.os.Looper.loopOnce(Looper.java:201)\r\n> \tat android.os.Looper.loop(Looper.java:288)\r\n> \tat android.app.ActivityThread.main(ActivityThread.java:7839)\r\n> \tat java.lang.reflect.Method.invoke(Native Method)\r\n> \tat com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:548)\r\n> \tat com.android.internal.os.ZygoteInit.main(ZygoteInit.java:1003)\r\n> 2023-07-31 14:19:35.539 2466-2498 UseCaseAttachState org....examples.imageclassification D Active and attached use case: [androidx.camera.core.ImageAnalysis-8231df21-375a-4253-a87a-2ae8de627879255109251] for camera: 103\r\n> 2023-07-31 14:19:35.542 517-899 ActivityTaskManager system_server W Force finishing activity org.tensorflow.lite.examples.imageclassification/.MainActivity\r\n> 2023-07-31 14:19:35.548 517-2502 DropBoxManagerService system_server I add tag=data_app_crash isTagEnabled=true flags=0x2\r\n> 2023-07-31 14:19:35.555 2466-2498 Camera2CameraImpl org....examples.imageclassification D {Camera@cf9cb2a[id=103]} Resetting Capture Session\r\n> 2023-07-31 14:19:35.558 2466-2498 Camera2CameraImpl org....examples.imageclassification D {Camera@cf9cb2a[id=103]} Releasing session in state INITIALIZED\r\n> 2023-07-31 14:19:35.562 2466-2498 Camera2CameraImpl org....examples.imageclassification D {Camera@cf9cb2a[id=103]} Attempting to force open the camera.\r\n> 2023-07-31 14:19:35.564 2466-2498 CameraStateRegistry org....examples.imageclassification D tryOpenCamera(Camera@cf9cb2a[id=103]) [Available Cameras: 1, Already Open: false (Previous state: null)] --> SUCCESS\r\n> 2023-07-31 14:19:35.570 2466-2466 Process org....examples.imageclassification I Sending signal. PID: 2466 SIG: 9\r\n> ---------------------------- PROCESS ENDED (2466) for package org.tensorflow.lite.examples.imageclassification ----------------------------\r\n> 2023-07-31 14:19:35.666 517-899 ActivityManager system_server I Process org.tensorflow.lite.examples.imageclassification (pid 2466) has died: fg TOP \r\n> 2023-07-31 14:19:35.668 517-545 libprocessgroup system_server I Successfully killed process cgroup uid 10077 pid 2466 in 0ms\r\n> 2023-07-31 14:19:35.670 285-285 Zygote pid-285 I Process 2466 exited due to signal 9 (Killed)\r\n> 2023-07-31 14:19:35.670 517-921 WindowManager system_server I WIN DEATH: Window{d0379fb u0 org.tensorflow.lite.examples.imageclassification/org.tensorflow.lite.examples.imageclassification.MainActivity}\r\n> 2023-07-31 14:19:35.671 517-921 InputManager-JNI system_server W Input channel object 'd0379fb org.tensorflow.lite.examples.imageclassification/org.tensorflow.lite.examples.imageclassification.MainActivity (client)' was disposed without first being removed with the input manager!\r\n> 2023-07-31 14:19:35.687 343-343 BpTransact...edListener surfaceflinger E Failed to transact (-32)\r\n> 2023-07-31 14:19:35.700 517-899 ActivityTaskManager system_server W Can't find TaskDisplayArea to determine support for multi window. Task id=92 attached=false\r\n> 2023-07-31 14:19:35.701 517-899 ActivityTaskManager system_server W Can't find TaskDisplayArea to determine support for multi window. Task id=92 attached=false\r\n> 2023-07-31 14:19:35.730 517-537 ActivityManager system_server W setHasOverlayUi called on unknown pid: 2466\r\n> 2023-07-31 14:19:35.798 1109-1153 OpenGLRenderer com.android.launcher3 I Davey! duration=99848ms; Flags=1, FrameTimelineVsyncId=7224, IntendedVsync=236882707405, Vsync=236882707405, InputEventId=0, HandleInputStart=236883940860, AnimationStart=236883945013, PerformTraversalsStart=236883948167, DrawStart=236907705936, FrameDeadline=236916091065, FrameInterval=236883932629, FrameStartTime=16691830, SyncQueued=236914034936, SyncStart=236914191167, IssueDrawCommandsStart=236914506936, SwapBuffers=236919260321, FrameCompleted=336731089942, DequeueBufferDuration=178385, QueueBufferDuration=1787154, GpuCompleted=336731089942, SwapBuffersCompleted=236929178167, DisplayPresentTime=168144668009, \r\n> 2023-07-31 14:19:35.803 517-527 system_server system_server I NativeAlloc concurrent copying GC freed 76952(4326KB) AllocSpace objects, 17(452KB) LOS objects, 37% free, 10191KB/15MB, paused 2.919ms,344us total 204.204ms\r\n> 2023-07-31 14:19:35.848 1109-1153 OpenGLRenderer com.android.launcher3 I Davey! duration=99807ms; Flags=0, FrameTimelineVsyncId=7237, IntendedVsync=236966153846, Vsync=236966153846, InputEventId=0, HandleInputStart=236967284475, AnimationStart=236967287013, PerformTraversalsStart=236967289936, DrawStart=236967508013, FrameDeadline=236999537506, FrameInterval=236967278936, FrameStartTime=16691830, SyncQueued=236967943783, SyncStart=236968116167, IssueDrawCommandsStart=236968318706, SwapBuffers=236975167321, FrameCompleted=336774274327, DequeueBufferDuration=35230, QueueBufferDuration=1930308, GpuCompleted=336774274327, SwapBuffersCompleted=236977859629, DisplayPresentTime=168161398317, \r\n> 2023-07-31 14:19:36.048 517-537 ActivityTaskManager system_server W Activity top resumed state loss timeout for ActivityRecord{55231d3 u0 org.tensorflow.lite.examples.imageclassification/.MainActivity t-1 f}}\r\n> 2023-07-31 14:19:36.945 284-322 netd netd I setProcSysNet(4, 2, wlan0, retrans_time_ms, 750) <0.75ms>\r\n> 2023-07-31 14:19:36.946 284-322 netd netd I setProcSysNet(4, 2, wlan0, ucast_solicit, 10) <0.30ms>\r\n> 2023-07-31 14:19:36.948 284-322 netd netd I setProcSysNet(6, 2, wlan0, retrans_time_ms, 750) <0.44ms>\r\n> 2023-07-31 14:19:36.950 284-322 netd netd I setProcSysNet(6, 2, wlan0, ucast_solicit, 10) <0.43ms>\r\n> 2023-07-31 14:19:38.698 517-1259 TaskPersister system_server E File error accessing recents directory (directory doesn't exist?).", "Hi, @suyash-narain, those are the two ways that makes sense, LENS_FACING_EXTERNAL is experimental so sometimes it doesn't always work. You did say you try it, was there a building error? That information can be helpful.\r\n\r\nHi, @miaout17, can you please take a look? Thanks. \r\n\r\n", "Hi @pkgoogle @miaout17 \r\n\r\nandroid studio doesn't take LENS_FACING_EXTERNAL and its corresponding annotation. It shows it as an error (marking with red font and a red underline) before the build. So couldn't build with it. \r\n\r\nusing val cameraSelector = CameraSelector.Builder().addCameraFilter(MyCameraFilter(\"$mCameraId\")).build() doesn't lead to any build error, but the app crashes at runtime, and camera is not detected as could be seen from the above posted error log\r\n" ]

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[ "Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).\n\nView this [failed invocation](https://github.com/tensorflow/tensorflow/pull/61444/checks?check_run_id=15525632648) of the CLA check for more information.\n\nFor the most up to date status, view the checks section at the bottom of the pull request.", "> This seems like a no-op, after you inline all definitions\r\n\r\nHi @mihaimaruseac and thanks for your time,\r\nAs you can see in the issue https://github.com/tensorflow/tensorflow/issues/61434, this avoid errors in the resolution of dependencies if the version of the package is something different from `major.minor.patch` versioning. \r\nI encountered this issue using `poetry` while installing the `tensorflow-rocm` package that use the `major.minor.patch.rocm-version` semantic versioning e.g. `2.12.0.560`. \r\nMy changes simply ensure the version of the `REQUIRED_PACKAGES` to the `major.minor.parch` versioning to solve the issue. This solves dependency resolution problems even when using versions like `major.minor.patch.build`.\r\n\r\nI hope this makes it clearer.", "But how does this setup.py translate to the rocm variant?", "> But how does this setup.py translate to the rocm variant?\r\n\r\nThis doesn't directly affect the tensorflow forks but AFAIK forks like `tensorflow-rocm` sync some changes with the main `tensorflow` branches so these changes will affect them when they will sync.\r\nAlso, this can be helpful for future forks.\r\n\r\nHowever, what do you mean by \"translate\" specifically?\r\nIf you mean how this can benefit the rocm variant the answer is that in `tensorflow-rocm` variant the version is something like `2.12.0.560`, so in the actual state, both `FAKE_REQUIRED_PACKAGES` and `collaborator_build REQUIRED_PACKAGES` versions are still `2.12.0.560`. As you can check packages like `tensorflow-intel` (that is a `FAKE_REQUIRED_PACKAGE`) don't have a `2.12.0.560` version but only the `2.12.0` version. \r\nSo the proposed changes simply ensure that the version of these packages is a `major.minor.patch` version that matches an existent packages version of the `REQUIRED_PACKAGES`.\r\n\r\nI hope I have answered your doubts correctly, however, If you feel that this is not an issue directly related to `tensorflow` I imagine that forks can independently manage that issue.\r\n", "I don't understand how TF's `setup.py` is used by the other variants. Perhaps the change should actually occur on the `tensorflow-rocm` repo instead.", "> I don't understand how TF's `setup.py` is used by the other variants. Perhaps the change should actually occur on the `tensorflow-rocm` repo instead.\r\n\r\nThe `setup.py` is used in other tensorflow variant to create their own package version (e.g. [tensorflow-rocm](https://pypi.org/project/tensorflow-rocm/)). If the `setup.py` contains a non existent version of some packages this obviously run into an issues while installing the package with some package manager that check that like `poetry`.\r\n\r\nHowever, I may have misunderstood this behavior.\r\n\r\nPlease let me know if I'm in error.\r\n", "The ROCM `setup.py` has\r\n\r\n```py\r\n# Append the ROCM version to the version string\r\nif project_name.endswith('_rocm'):\r\n _VERSION = _VERSION + \".\" + str(_rocm_version(_get_rocm_install_path()).replace('.', ''))\r\n```\r\n\r\nI think that is the part that needs to change, not in TF. From TF's point of view, this PR is a no-op.", "> The ROCM `setup.py` has\r\n> \r\n> ```python\r\n> # Append the ROCM version to the version string\r\n> if project_name.endswith('_rocm'):\r\n> _VERSION = _VERSION + \".\" + str(_rocm_version(_get_rocm_install_path()).replace('.', ''))\r\n> ```\r\n> \r\n> I think that is the part that needs to change, not in TF. From TF's point of view, this PR is a no-op.\r\n\r\nOk @mihaimaruseac, thanks for your time. I opened a PR on `tensorflow-rocm` to fix that. \r\nI think that this issue can now be closed.", "> tensorflow-rocm\r\n\r\nHi @ZappaBoy Shall we go ahead and close this PR since you created [PR#2174](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/pull/2174) on tensorflow-rocm repo to fix that. Please confirm. Thank you!", "> Shall we go ahead and close this PR since you created [PR#2174](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/pull/2174) on tensorflow-rocm repo to fix that. Please confirm. Thank you!\r\n\r\nSure, as I said before I think that this issue can be closed. Thanks for your support and have a nice day." ]

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[ "This was no help, so closing." ]

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[ "Hi @misterBart, I'm in the process of replicating but am running into Windows installation restrictions, just letting you know I am looking into this.", "Thanks, I appreciate your message that you're working on it.\r\nIn the meantime I tried several things, among others I employed the Clang compiler within Visual Studio. But everything I tried still gives me the `unresolved external symbol' error.", "Update: the program works after removing macro `TFL_CAPI_EXPORT` (= `__declspec(dllimport)`) before the function declaration `TfLiteGpuDelegateV2Create` and subsequently rebuild TfLite.\r\nI never heard of `__delcapsec(dllimport)` before, and after some Googling I get the impression that it is a performance optimization for loading a dynamic library.\r\nThe first question is of course why this caused an `unresolved external` error in Windows / Visual Studio (and not in Linux with gcc). \r\nThe second question is whether my fix by removing `TFL_CAPI_EXPORT` is a proper fix.\r\nDo you/anybody have thoughts about this?", "Hi @terryheo, can you please take a look? Thanks.", "`TFLITE_ENABLE_GPU` isn't supported for Windows.\r\n\r\nhttps://www.tensorflow.org/lite/guide/build_cmake#available_options_to_build_tensorflow_lite", "In my experience, the documentation often lags behind the implementation.\r\nThe GPU code contain Windows-specific code (e.g. opencl_wrapper.cc), that wouldn't make sense if Windows is not supported.\r\nThe GPU code contains a delegate for iOS' Metal, also unmentioned in the documentation." ]

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[ " try self.interpreter!.copy(inputData, toInputAt: 0)\r\n try self.interpreter!.invoke() // App got crashed on this line without any log(Thread 1: EXC_BAD_ACCESS (code=1, address=0x32e110180))\r\n", "Even Tensor were allocated still getting crash.", "@ShiviAGL,\r\nCould you please provide the complete standalone code & the tensorflow version you are using and helps us to analyse the issue in an effective way. Thank you!", "Hi TilakRayl \r\nThanks for reply :\r\nVersion is not mention only used pod 'TensorFlowLiteSwift'\r\n\r\n //TFLITE Model parameter example\r\n let batchSize = 1\r\n let inputChannels = 3\r\n let inputWidth = 640 \r\n let inputHeight = 640\r\n \r\n private var inputTensor: Tensor?\r\n private var outputTensor: Tensor?\r\n\r\n func checkTfliteImage (imageTocheck : UIImage) -> (Bool){\r\n \r\n let myimage: UIImage = imageTocheck.resized(to: CGSizeMake(CGFloat(inputWidth), CGFloat(inputHeight)))\r\n \r\n let image : CGImage = myimage.cgImage!\r\n\r\n guard let context = CGContext(\r\n data: nil,\r\n width: image.width, height: image.height,\r\n bitsPerComponent: 8, bytesPerRow: image.width * 4,\r\n space: CGColorSpaceCreateDeviceRGB(),\r\n bitmapInfo: CGImageAlphaInfo.noneSkipFirst.rawValue\r\n ) else {\r\n return false\r\n }\r\n\r\n context.draw(image, in: CGRect(x: 0, y: 0, width: image.width, height: image.height))\r\n guard let imageData = context.data else { return false }\r\n\r\n var inputData = Data()\r\n for row in 0 ..< inputWidth { \r\n for col in 0 ..< inputHeight {\r\n let offset = 4 * (col * context.width + row)\r\n // (Ignore offset 0, the unused alpha channel)\r\n var red = imageData.load(fromByteOffset: offset+1, as: UInt8.self)\r\n var green = imageData.load(fromByteOffset: offset+2, as: UInt8.self)\r\n var blue = imageData.load(fromByteOffset: offset+3, as: UInt8.self)\r\n\r\n inputData.append(&red, count: 1)\r\n inputData.append(&green, count: 1)\r\n inputData.append(&blue, count: 1)\r\n }\r\n }\r\n do {\r\n try self.interpreter!.copy(inputData, toInputAt: 0)\r\n try self.interpreter!.invoke()\r\n var output = try interpreter!.output(at: 0)\r\n let boundingBoxes =\r\n UnsafeMutableBufferPointer<Float32>.allocate(capacity: 4 * 40)\r\n output.data.copyBytes(to: boundingBoxes)\r\n\r\n output = try interpreter!.output(at: 1)\r\n let labels =\r\n UnsafeMutableBufferPointer<Float32>.allocate(capacity: 40)\r\n output.data.copyBytes(to: labels)\r\n\r\n output = try interpreter!.output(at: 2)\r\n let probabilities =\r\n UnsafeMutableBufferPointer<Float32>.allocate(capacity: 40)\r\n output.data.copyBytes(to: probabilities)\r\n\r\n guard let labelPath = Bundle.main.path(\r\n forResource: \"labels\",\r\n ofType: \"txt\"\r\n ) else { return true }\r\n let fileContents = try? String(contentsOfFile: labelPath)\r\n guard let labelText = fileContents?.components(separatedBy: \"\\n\") else { return true }\r\n\r\n for i in 0 ..< 40 {\r\n let top = boundingBoxes[0 * i]\r\n let left = boundingBoxes[1 * i]\r\n let bottom = boundingBoxes[2 * i]\r\n let right = boundingBoxes[3 * i]\r\n\r\n let labelIdx = Int(labels[i])\r\n let label = labelText[labelIdx]\r\n let confidence = probabilities[i]\r\n\r\n if confidence > 0.66 {\r\n print(\"Object found: \\(label) (confidence: \\(confidence))\")\r\n print(\" Top-left: (\\(left),\\(top))\")\r\n print(\" Bottom-right: (\\(right),\\(bottom))\")\r\n }\r\n }\r\n\r\n try self.interpreter!.allocateTensors()\r\n } catch {\r\n print(\"error in recognition \\(error.localizedDescription)\")\r\n //error in recognition Provided data count 150528 must match the required count 1228800.\r\n\r\n }\r\n return false\r\n }\r\n", "Hi @ShiviAGL \r\n\r\nCould you please share TFLite model if possible to analyse and better understand the issue? \r\n\r\nThanks.", "hi pjpratik ,\r\ncan you plz chk .tflite file with attached url below :\r\n\r\n\r\nplease let us know how to preprocess the input image for this file as tensor input. and what will be the values of:\r\n\r\n1. tflite_metadata.json\r\n2. The model's input dimensions \r\n3. The model's maximum detections \r\n4. dict.txt or labels.txt file to get the name of detected object \r\n", "Hi @ShiviAGL \r\n\r\n>tflite_metadata.json\r\n\r\nWe can use [MetaDatadisplayer](https://www.tensorflow.org/lite/api_docs/python/tflite_support/metadata/MetadataDisplayer) which is available through `tflite_support` library. \r\n\r\n`get_metadata_json()` can be used which converts the metadata into a json string.\r\n\r\n>The model's input dimensions\r\n\r\nI did observe that model's input dimensions are `[1,320,320,3]`.\r\n\r\n>The model's maximum detections\r\n\r\nAnd the model has maximum detections of 10.\r\n\r\n>dict.txt or labels.txt file to get the name of detected object\r\n\r\nWe can get the label map from the tflite model with metadata by unzipping it.\r\n\r\nPlease find this [gist](https://colab.research.google.com/gist/pjpratik/40842c05fae056d6009f15edd67a123b/61441.ipynb) for the same.\r\n\r\nThanks.\r\n\r\n\r\n", "hi pjpratik ,\r\nThanks for your reply ,\r\ncan you please help us to understand how an image can be passed as tensor input with dimensions [1,320,320,3], for this model.\r\n", "Hi @ShiviAGL ,\r\n\r\nSince you have a model with metadata, you can use [TensorFlow Lite Task Library](https://www.tensorflow.org/lite/inference_with_metadata/task_library/object_detector#step_2_using_the_model_2) with the same `tflite_support` library which provides easy to use interfaces for TFLite.\r\n\r\nIncase if you are interested in Swift based implementation, please check this [model data handler](https://github.com/tensorflow/examples/blob/630bd990cc909cee217a805e4b4ce258721f3432/lite/examples/object_detection/ios/ObjectDetection/ModelDataHandler/ModelDataHandler.swift) in object detection example.\r\n\r\nPlease let us know if it helps.\r\n\r\nThanks.", "ok , thanks .\r\nwill check and let you know.", "hi @pjpratik ,\r\n\r\nI have used TensorFlowLiteTaskVision and followed the steps using https://www.tensorflow.org/lite/inference_with_metadata/task_library/object_detector#swift\r\n\r\n guard let modelPath = Bundle.main.path(forResource: \"ssd_320_fpnlite_rtpd_exterior_fp32_metadata\",\r\n ofType: \"tflite\") else { return }\r\n\r\n let options = ObjectDetectorOptions(modelPath: modelPath)\r\n\r\n // options.classificationOptions.maxResults = 3\r\n\r\n do {\r\n let detector = try ObjectDetector.detector(options: options)\r\n \r\n guard let image = UIImage (named: \"carimage.jpeg\"), let mlImage = MLImage(image: image) else { return }\r\n\r\n do{ let detectionResult = try detector.detect(mlImage: mlImage)}\r\n catch {throw error}\r\n\r\n }\r\n catch{\r\n throw error\r\n }\r\n\r\n \r\n\r\n\r\n\r\n\r\nthen I am getting this errors in log:\r\n\r\n2023-08-10 17:26:39.458625+0530 Nexa[5290:4005447] [tcp] tcp_input [C16.1.1.1:3] flags=[R.] seq=3641772054, ack=340852762, win=0 state=CLOSED rcv_nxt=3641772007, snd_una=340852685\r\n2023-08-10 17:26:39.473151+0530 Nexa[5290:4003754] Initialized TensorFlow Lite runtime.\r\nINFO: Initialized TensorFlow Lite runtime.\r\n2023-08-10 17:26:39.477445+0530 Nexa[5290:4003754] Created TensorFlow Lite XNNPACK delegate for CPU.\r\nINFO: Created TensorFlow Lite XNNPACK delegate for CPU.\r\n2023-08-10 17:26:39.481691+0530 Nexa[5290:4003754] failed to create XNNPACK runtime\r\nERROR: failed to create XNNPACK runtime\r\n2023-08-10 17:26:39.482903+0530 Nexa[5290:4003754] failed to create XNNPACK runtime\r\nERROR: failed to create XNNPACK runtime\r\n2023-08-10 17:26:39.483089+0530 Nexa[5290:4003754] failed to create XNNPACK runtime\r\nERROR: failed to create XNNPACK runtime\r\n2023-08-10 17:26:39.483877+0530 Nexa[5290:4003754] Node number 157 (TfLiteXNNPackDelegate) failed to prepare.\r\nERROR: Node number 157 (TfLiteXNNPackDelegate) failed to prepare.\r\n2023-08-10 17:26:39.484266+0530 Nexa[5290:4003754] Restored original execution plan after delegate application failure.\r\nERROR: Restored original execution plan after delegate application failure.\r\n2023-08-10 17:26:59.219212+0530 Nexa[5290:4005310] [tcp] tcp_input [C15.1.1.1:3] flags=[R.] seq=51485920, ack=3936341466, win=0 state=LAST_ACK rcv_nxt=51485920, snd_una=3936341420\r\n2023-08-10 17:26:59.219761+0530 Nexa[5290:4005310] [tcp] tcp_input [C17.1.1.1:3] flags=[R.] seq=3431658725, ack=3245991258, win=0 state=LAST_ACK rcv_nxt=3431658725, snd_una=3245991212\r\n2023-08-10 17:26:59.224111+0530 Nexa[5290:4005310] [tcp] tcp_input [C15.1.1.1:3] flags=[R.] seq=51485920, ack=3936341498, win=0 state=CLOSED rcv_nxt=51485920, snd_una=3936341420\r\n\r\nPlease have a look and help me to understand what can we do to get result by passing image for this model?", "Hi @ShiviAGL \r\n\r\nI have tried your model with Python API with random data and was able to get results. Please find this [gist](https://colab.research.google.com/gist/pjpratik/8975520e37604b1bad398c7dec02b518/61441.ipynb).\r\n\r\nThere seems to be no issue model. Could you check this ios [object detector](https://github.com/tensorflow/examples/blob/master/lite/examples/object_detection/ios/ObjectDetection/TFLite/ObjectDetectionHelper.swift) example which uses the TFLiteTaskLibrary and let us know if it helps?\r\n\r\nThanks.", "Hi @pjpratik \r\nThanks for your reply .\r\nWe have tried the same model with Android studio as well and its working fine but for iOS Xcode with swift 5 we are unable to get results from this model so we are just looking for the help to integrate this model in our iOS project. \r\n\r\nI have tried with \r\npod 'TensorFlowLiteSwift'\r\nand\r\npod 'TensorFlowLiteTaskVision'\r\n\r\n with different ways with frames and images as well as an tensor input but with all the different ways i got errors :\r\n **error in recognition Provided data count 150528 must match the required count 1228800**\r\n and then after checking the input interpreter.invoke() failed and then followed the TensorFlowLiteTaskVision and then again for the simple image getting error : failed to create XNNPACK runtime\r\n\r\nalso tried with Firebase as well (https://firebase.google.com/docs/ml-kit/ios/use-custom-models) \r\n\r\nSo the requirement is to detect the image(not frame) with this model in ios swift 5 \r\nand for that what will be the correct approach as I have checked TFLiteTaskLibrary too and here we can use TensorFlowLiteTaskVision and then I have implemented the same but again failed with XNNPACK runtime issue.\r\nso can you please help us to understand what are the reasons to got these errors. \r\n\r\n\r\nIs there any complete guide to understand how an image can be used for object detection using Tflite models with detailed description for the tensor input dimensions and how can we use the values like maximum number of detections and image with dimension [1,320,320,3] and the input preprocessing mean , input preprocessing standard deviation with datatype float32.\r\n", "Hi @ShiviAGL \r\n\r\nThanks for the information. Seems like the issue is with iOS only, as per understanding. \r\n\r\n@pkgoogle Could you please look into this issue?\r\n\r\nThanks.", "Hi @ShiviAGL, I was able to get a result from your model with my toy project that's basically just this:\r\n\r\n_1441_toyApp:\r\n```swift\r\n//\r\n// _1441_toyApp.swift\r\n// 61441_toy\r\n//\r\n//\r\n\r\nimport SwiftUI\r\nimport TensorFlowLiteTaskVision\r\n\r\n@main\r\nstruct _1441_toyApp: App {\r\n init() {\r\n // Initialization\r\n do {\r\n guard let modelPath = Bundle.main.path(forResource: \"ssd_320_fpnlite_rtpd_exterior_fp32_metadata\",\r\n ofType: \"tflite\") else { return }\r\n\r\n let options = ObjectDetectorOptions(modelPath: modelPath)\r\n\r\n // Configure any additional options:\r\n // options.classificationOptions.maxResults = 3\r\n\r\n let detector = try ObjectDetector.detector(options: options)\r\n\r\n // Convert the input image to MLImage.\r\n // There are other sources for MLImage. For more details, please see:\r\n // https://developers.google.com/ml-kit/reference/ios/mlimage/api/reference/Classes/GMLImage\r\n guard let image = UIImage (named: \"istockphoto-925066016-612x612.jpg\"), let mlImage = MLImage(image: image) else { return }\r\n\r\n // Run inference\r\n let detectionResult = try detector.detect(mlImage: mlImage)\r\n print(detectionResult)\r\n } catch {\r\n print(error)\r\n }\r\n }\r\n\r\n var body: some Scene {\r\n WindowGroup {\r\n ContentView()\r\n }\r\n }\r\n}\r\n```\r\n\r\nContentView (Default app one):\r\n```swift\r\n//\r\n// ContentView.swift\r\n// 61441_toy\r\n//\r\n//\r\n\r\nimport SwiftUI\r\n\r\nstruct ContentView: View {\r\n var body: some View {\r\n VStack {\r\n Image(systemName: \"globe\")\r\n .imageScale(.large)\r\n .foregroundColor(.accentColor)\r\n Text(\"Hello, world!\")\r\n }\r\n .padding()\r\n }\r\n}\r\n\r\nstruct ContentView_Previews: PreviewProvider {\r\n static var previews: some View {\r\n ContentView()\r\n }\r\n}\r\n```\r\n\r\nmy PodFile:\r\n```sh\r\n# Uncomment the next line to define a global platform for your project\r\n# platform :ios, '9.0'\r\n\r\ntarget '61441_toy' do\r\n # Comment the next line if you don't want to use dynamic frameworks\r\n # use_frameworks!\r\n\r\n # Pods for 61441_toy\r\n pod 'TensorFlowLiteTaskVision'\r\n\r\nend\r\n```\r\n\r\nMy image is different, but I didn't try anything special with it. My swift version is also 5. Can you try with a very simple project like the above and see if you can get a result? Thanks for your help.", "@pkgoogle \r\nThanks for your reply, will check this approach too and let you know about the results. ", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61441\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61441\">No</a>\n" ]

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[ "@cfRod @nSircombe @TensorFlow-MKL @milpuz01 ", "Roll back https://github.com/tensorflow/tensorflow/commit/973cd1af48a7006a06bfbdbebbb659ad566d6b66", "This is no longer a problem.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61440\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61440\">No</a>\n" ]

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[ "@ahmedbhaila Please make sure the TF version you are using and check the tested build configuration [here](https://www.tensorflow.org/install/source_windows#gpu). FYI, TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install [TensorFlow in WSL2](https://tensorflow.org/install/pip#windows-wsl2), or install tensorflow or tensorflow-cpu and, optionally, try the [TensorFlow-DirectML-Plugin](https://github.com/microsoft/tensorflow-directml-plugin#tensorflow-directml-plugin-)\r\nThank you!", "Yes I am aware of the versioning, that's why I'm using Python 3.10, so I can use tf 2.10.0. On the website, it says to use CUDA 11.2 for tf 2.10.0, which is what I have done. At this point I'm most likely to use WSL2.", "Can confirm It works in WSL2 using the tutorial from the tensorflow docs. Not sure about native windows though.", "Hi @ahmedbhaila ,\r\n\r\nFor windows native you need to have Microsoft Visual C++ Redistributable installed and also long paths enabled manually. \r\n\r\nCould you please verify step2 in the attached documentation [here](https://www.tensorflow.org/install/pip#step-by-step_instructions).", "Downloaded and activated long paths, then restarted. No change same response", "Hi @ahmedbhaila ,\r\n\r\nWe have tested on windows VM using conda environment with TF2.10 as per official [instructions](https://www.tensorflow.org/install/pip#windows-native) and able to detect GPU successfully. Please refer to attached logs below.\r\n\r\n[61439_win_logs.txt](https://github.com/tensorflow/tensorflow/files/12260724/61439_win_logs.txt)\r\n\r\nIt seems there is some issue with your environment. Could you please try a fresh environment with miniconda followed by official instructions.\r\n\r\nThanks!", "Hi, it seems I was using a different page on the documentation, and using miniconda fixed all the issues. Thanks", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61439\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61439\">No</a>\n" ]

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[ "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61438\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61438\">No</a>\n" ]

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[ "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61437\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61437\">No</a>\n" ]

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[ "Hi @moooises ,\r\n\r\nCould you please confirm the python path selected in `./configure` step ?\r\n\r\n```\r\n/configure\r\nYou have bazel 6.1.0 installed.\r\nPlease specify the location of python. [Default is /Library/Frameworks/Python.framework/Versions/3.9/bin/python3]: \r\n\r\n\r\nFound possible Python library paths:\r\n /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages\r\nPlease input the desired Python library path to use. Default is [/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages]\r\n```\r\n\r\nThanks!", "Hi,\r\ninstead of having /Library/Frameworks/Python.framework/Versions/3.9/bin/python3 as the default path, I have /usr/bin/python3.\r\nI tried with both /usr/bin/python3.8 and /usr/bin/python3, which in my system redirects to /usr/bin/python3.8, and with both paths I end up with a cp310 whl file .\r\nAside from Python2.7, which path is /usr/bin/python, I only have Python3.8 installed.", "This is likely due to hermetic python picking out the default when it builds. See: https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater#hermetic-python-toolchain-details\r\n\r\nSpecifically for python 3.8, we have dropped support at HEAD to keep in following with numpy's python support. ", "You should not need to run configure anymore. Just need to build a virtual env with the desired version of Python and/or use hermetic python build flags.", "@moooises ,\r\n\r\nThe [comment-1662775801](https://github.com/tensorflow/tensorflow/issues/61436#issuecomment-1662775801) makes sense to me on why it is ended up with python 3.10 whl file. Also as the comment suggests python 3.8 versions may not be recommended for nightly builds. \r\n\r\nCould you please go through the comments above and do the necessary changes for build and let us know if still facing any issue. Thanks! ", "You can follow this [link](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater#how-to-add-a-new-python-version) to update python version. I can see `Python3.9` is minimum python version recommended for nightly where `Python3.10` is default. Not sure though `Python3.8` have any compatibility issues due to numpy dependencies. So please make a note of it and build accordingly.", "I tried creating a virtual environment for python 3.10, as @mihaimaruseac suggested, using anaconda and I could install the generated whl file.\r\nHowever I get some warning telling \"Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\" and the same warning for cuFFT and cuBLAS. Aside from than, the installation seems to work. It recognize my GPU.\r\nWill those warning cause me any problem in the future?", "Hi @moooises ,\r\n\r\nAFAIK , If GPU able to recognise these warnings can be ignored. These warnings seems to be due to duplicate registrations as discussed in #56630\r\n", "Just FYI, starting from Tf2.13v onwards TF uses Clang as compiler. ", "Ok, thanks for the responses.\r\nI installed it again using conda and following the steps of the official guide https://www.tensorflow.org/install/pip and everything seems to work fine now. I don't have those duplication warnings anymore.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61436\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61436\">No</a>\n" ]

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[ "Hi @johnnkp ,\r\n\r\nWindows CUDA builds not officially supported for Tf>2.11 versions as per the attached [source](https://www.tensorflow.org/install/source_windows#:~:text=on%20a%20GPU.-,Note%3A%20GPU%20support%20on%20native%2DWindows%20is%20only%20available%20for%202.10%20or%20earlier%20versions%2C%20starting%20in%20TF%202.11%2C%20CUDA%20build%20is%20not%20supported%20for%20Windows.%20For%20using%20TensorFlow%20GPU%20on%20Windows%2C%20you%20will%20need%20to%20build/install%20TensorFlow%20in%20WSL2%20or%20use%20tensorflow%2Dcpu%20with%20TensorFlow%2DDirectML%2DPlugin,-Download%20the%20TensorFlow). \r\n\r\nWe recommend to use WSL on windows to enable GPU builds. Thanks!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61435\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61435\">No</a>\n" ]

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[ "Hi @ZappaBoy ,\r\n\r\nTo enable ROCm you have to build from source.\r\n\r\nPlease find the configuration [here](https://www.tensorflow.org/install/source#expandable-1).\r\n\r\nThank you!!", "Hi @Varsha-anjanappa,\r\n\r\nFirst of all thanks for your time.\r\nI'm currently using `rocm` successfully. The issue here is about the `FAKE_REQUIRED_PACKAGES` versions definition that prevent to install other `tensorflow` versions different from main versions using package managers like `poetry`.\r\nAs you can see the problem is not only related to `tensorflow-rocm` but it's related to all the package with a version longer than the `major.minor.patch` standard versioning. The issue is generated due to the fact that the fake packages like `tensorflow-cpu-aws` and `tensorflow-intel` version follow the `major.minor.patch` standard versioning while other forks can use a `major.minor.patch.other` versioning standard. \r\n\r\nSo I think that my proposed solution can be useful but I'm not sure where to place the following line in the `setup.py`:\r\n```python\r\n_VERSION = (\".\").join(_VERSION.split(\".\")[:3])\r\n```\r\nMaybe it can be safer to create a `_FAKE_REQUIRED_PACKAGES_VERSION` variable like that:\r\n```python\r\n_FAKE_REQUIRED_PACKAGES_VERSION = (\".\").join(_VERSION.split(\".\")[:3])\r\n```\r\nAnd use `_FAKE_REQUIRED_PACKAGES_VERSION` instead of `_VERSION` in the `FAKE_REQUIRED_PACKAGES` list.\r\n", "Hi @Varsha-anjanappa,\r\nI had some free time and I created this PR https://github.com/tensorflow/tensorflow/pull/61444.\r\nI hope this can help to solve the issue.", "Hi @ZappaBoy ,\r\nCan this issue be closed now ?", "The PR did not land", "@Varsha-anjanappa as discussed in the PR this seems to be an issue that the forks of tensorflow will have to solve independently, so this issue can be closed now.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61434\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61434\">No</a>\n" ]

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[ "Hi @cheshire Can you please review this PR ? Thank you!", "Makes sense ! I think we do not notice it because we do not use cublasLT by default. @SandSnip3r could you take a look?", "Hmm, yeah. As far as I can tell, it looks like we never set the algorithm for cublasLt. However, I disagree with the way that this PR goes about setting it.\r\n\r\nThe code inside of `GetBestAlgorithm` already sets the algorithm via\r\n```\r\nresult.mutable_gemm()->set_algorithm(profile_result.algorithm());\r\n```\r\n\r\nInstead, we should be setting the algorithm inside of the profile result similarly to how it's done for cublas. For cublas, the `blas::ProfileResult`'s algorithm is set inside of `cuda_blas.cc`. The same should be done inside `cuda_blas_lt_.cc` for cublasLt. This PR would further complicate the already complicated \"blas\" abstraction.", "> Hmm, yeah. As far as I can tell, it looks like we never set the algorithm for cublasLt. However, I disagree with the way that this PR goes about setting it.\r\n> \r\n> The code inside of `GetBestAlgorithm` already sets the algorithm via\r\n> \r\n> ```\r\n> result.mutable_gemm()->set_algorithm(profile_result.algorithm());\r\n> ```\r\n> \r\n> Instead, we should be setting the algorithm inside of the profile result similarly to how it's done for cublas. For cublas, the `blas::ProfileResult`'s algorithm is set inside of `cuda_blas.cc`. The same should be done inside `cuda_blas_lt_.cc` for cublasLt. This PR would further complicate the already complicated \"blas\" abstraction.\r\n\r\nThanks for the review @cheshire @SandSnip3r \r\n\r\nThe algorithm in cublasLt is a little different from cublas. \r\n\r\nIn cublas, we can specify the best algorithm by set a integer value (algorithm id).\r\nHowever, in cublasLt, the algorithm is repsented by cublasLtMatmulAlgo_t, which is more complex[ref].(https://gitlab.com/nvidia/headers/cuda-individual/cublas/-/blob/main/cublasLt.h#L119)\r\n\r\nIn order to use the \"blas\" abstraction for gemm algorithm, I think we can use cublasLtMatmulAlgoGetHeuristic in gemm_algorithm_picker, get the best algorithm, save it's index in blas::ProfileResult. And later in RunGemm(), we can first call cublasLtMatmulAlgoGetHeuristic(), and then use the saved index find the best algorithm. ", "> In cublas, we can specify the best algorithm by set a integer value (algorithm id). However, in cublasLt, the algorithm is repsented by cublasLtMatmulAlgo_t, which is more complex[ref].(https://gitlab.com/nvidia/headers/cuda-individual/cublas/-/blob/main/cublasLt.h#L119)\r\n> \r\n> In order to use the \"blas\" abstraction for gemm algorithm, I think we can use cublasLtMatmulAlgoGetHeuristic in gemm_algorithm_picker, get the best algorithm, save it's index in blas::ProfileResult. And later in RunGemm(), we can first call cublasLtMatmulAlgoGetHeuristic(), and then use the saved index find the best algorithm.\r\n\r\nI suppose you could do that, just to avoid needing to make the algorithm a bit more abstract in the profile result.\r\n\r\nHowever, you now have an additional call to GetHeuristic. Also is that going to be called each time you call RunGemm? Also, that's trusting that the algorithms are returned in the same order every time, which could lead to a very hard-to-spot performance regression if that were no longer the case.\r\n\r\nTo do it right, I think you ought to adapt the interface to allow for the different types used by cublas and cublasLt for their algorithms.", "BTW also note that past Ampere, the select algorithm is ignored entirely in cuBLAS from what I recall. So ironically storing or not storing the algorithm on Ampere+ GPUs probably makes no difference.", "Hi @kimbaol Any update on this PR? Please. Thank you!", "This PR is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.", "Hi @kimbaol Any update on this PR? Please. Thank you!", "Hi @kimbaol I'm going to go ahead and close this PR, because it seems to have stalled. If you're still interested in pursing this (and responding to my comments), please feel free to reopen! Thank you for you contribution!" ]

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[ "Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).\n\nView this [failed invocation](https://github.com/tensorflow/tensorflow/pull/61432/checks?check_run_id=15479404539) of the CLA check for more information.\n\nFor the most up to date status, view the checks section at the bottom of the pull request." ]

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[ "```\r\n#include <iostream>\r\n#include \"tensorflow/cc/client/client_session.h\"\r\n#include \"tensorflow/cc/ops/standard_ops.h\"\r\n#include \"tensorflow/core/framework/tensor.h\"\r\n\r\nusing namespace tensorflow;\r\nusing namespace tensorflow::ops;\r\n\r\nint main() {\r\n // Входные данные - предыдущие 5 OHLC свечей\r\n float input_data[5][4] = {\r\n {100.0, 110.0, 95.0, 105.0},\r\n {105.0, 115.0, 100.0, 110.0},\r\n {110.0, 120.0, 105.0, 115.0},\r\n {115.0, 125.0, 110.0, 120.0},\r\n {120.0, 130.0, 115.0, 125.0}\r\n };\r\n\r\n // Будущая OHLC свеча, которую нужно предсказать\r\n float target_data[4] = { 125.0, 135.0, 120.0, 130.0 };\r\n\r\n // Создание графа TensorFlow\r\n Scope root = Scope::NewRootScope();\r\n auto input = Placeholder(root, DT_FLOAT, Placeholder::Shape({ 5, 4 }));\r\n auto target = Placeholder(root, DT_FLOAT, Placeholder::Shape({ 4 }));\r\n\r\n // Определение модели\r\n auto weights = Variable(root, { 4, 8 }, DT_FLOAT);\r\n auto biases = Variable(root, { 8 }, DT_FLOAT);\r\n auto output = Tanh(root, Add(root, MatMul(root, input, weights), biases));\r\n\r\n // Определение функции потерь\r\n auto loss = ReduceMean(root, Square(root, Sub(root, output, target)), { 0 });\r\n\r\n // Определение оптимизатора\r\n auto learning_rate = Const(root, 0.01f, {});\r\n auto optimizer = GradientDescentOptimizer(root, learning_rate);\r\n auto train_op = optimizer.minimize(root, loss);\r\n\r\n // Создание сессии\r\n ClientSession session(root);\r\n\r\n // Обучение модели\r\n Tensor input_tensor(DT_FLOAT, TensorShape({ 5, 4 }));\r\n Tensor target_tensor(DT_FLOAT, TensorShape({ 4 }));\r\n\r\n memcpy(input_tensor.flat<float>().data(), input_data, sizeof(input_data));\r\n memcpy(target_tensor.flat<float>().data(), target_data, sizeof(target_data));\r\n\r\n for (int i = 0; i < 1000; i++) {\r\n // Запуск одной итерации обучения\r\n session.Run({ {input, input_tensor}, {target, target_tensor} }, {}, { train_op });\r\n }\r\n\r\n // Прогнозирование будущей OHLC свечи\r\n Tensor prediction;\r\n session.Run({ {input, input_tensor} }, { output }, &prediction);\r\n\r\n // Вывод предсказанной свечи\r\n auto result = prediction.flat<float>();\r\n std::cout << \"Predicted OHLC: \" << result(0) << \", \" << result(1) << \", \" << result(2) << \", \" << result(3) << std::endl;\r\n\r\n return 0;\r\n}\r\n```\r\nСерьезность\tКод\tОписание\tПроект\tФайл\tСтрока\tСостояние подавления\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/status/status.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/str_cat.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/tensor.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t27\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/str_cat.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\scope.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/array_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t19\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/candidate_sampling_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t20\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/control_flow_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t22\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/data_flow_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t23\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/image_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/io_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/linalg_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t26\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/logging_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t27\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/lookup_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t28\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/math_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t29\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/nn_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t30\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/no_op.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t31\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/parsing_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t32\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/random_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t33\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/sparse_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t34\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/state_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t35\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/string_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t36\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/training_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t37\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/cc/ops/user_ops.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\standard_ops.h\t38\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/graph.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\common_runtime\\graph_constructor.h\t19\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/string_view.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\allocator.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/optional.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\allocator.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/base/macros.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\device_base.h\t23\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/string_view.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\device_base.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/device_attributes.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\device_base.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/full_type.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\full_type_inference_util.h\t23\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/full_type.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\full_type_util.h\t22\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/node_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\full_type_util.h\t23\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/op_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\full_type_util.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/graph_debug_info.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/container/flat_hash_map.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t30\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/optional.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t31\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/variant.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t32\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/attr_value.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t33\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/function.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t36\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/optimized_function_graph.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t40\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/protobuf/config.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t51\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/tsl/protobuf/error_codes.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t52\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/protobuf/remote_tensor_handle.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t54\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/node_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t23\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/op_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t26\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/node_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_util.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/op_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_util.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/types.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_util.h\t29\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/node_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_properties.h\t19\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/op_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_properties.h\t20\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/container/flat_hash_map.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/full_type.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op.h\t26\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/full_type.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_def_builder.h\t26\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/op_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_def_builder.h\t27\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/api_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_def_util.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/op_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_def_util.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/time/time.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/optional.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/span.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t26\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/graph.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t31\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/kernel_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t32\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/node_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t34\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/tensor_shape.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t44\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/types.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t47\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/protobuf/config.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t59\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/registration/options.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\registration\\registration.h\t38\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/types.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\resource_handle.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"third_party/eigen3/unsupported/Eigen/CXX11/Tensor\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/types.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor.h\t30\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"third_party/eigen3/unsupported/Eigen/CXX11/Tensor\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t21\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/types.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t22\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"third_party/eigen3/unsupported/Eigen/CXX11/Tensor\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t19\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"third_party/eigen3/unsupported/Eigen/CXX11/Tensor\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\types.h\t23\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/full_type.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\types.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/types.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\types.h\t28\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/optional.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t45\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/full_type.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t46\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/node_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t48\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/container/flat_hash_map.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/status/status.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/status/statusor.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t26\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/string_view.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t27\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/span.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t28\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/graph_debug_info.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t29\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/framework/op_def.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\node_builder.h\t22\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/span.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\lib\\gtl\\array_slice.h\t19\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/base/attributes.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\platform\\errors.h\t23\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/str_join.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\platform\\errors.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/optional.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\platform\\threadpool.h\t22\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/core/protobuf/config.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\public\\session_options.h\t22\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/match.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\util\\managed_stack_trace.h\t26\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/str_cat.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\util\\managed_stack_trace.h\t27\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/optional.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\util\\managed_stack_trace.h\t28\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/string_view.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\util\\tensor_format.h\t23\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/string_view.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\allocator.h\t25\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/optional.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\allocator.h\t26\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/string_view.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\device_type.h\t22\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"Eigen/Core\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t21\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/container/inlined_vector.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\lib\\gtl\\inlined_vector.h\t19\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"third_party/eigen3/Eigen/Core\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\bfloat16.h\t20\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/cord.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\default\\cord.h\t22\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/base/log_severity.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\default\\logging.h\t35\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/string_view.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\default\\logging.h\t36\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/status/statusor.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\default\\statusor.h\t18\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/functional/any_invocable.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\env.h\t27\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/base/attributes.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t26\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/status/status.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t27\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/cord.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t28\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/str_join.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t29\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"include/float8.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\float8.h\t19\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/descriptor.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t30\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/arena.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t31\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/descriptor.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t32\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/dynamic_message.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t33\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/io/coded_stream.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t34\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/io/tokenizer.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t35\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/io/zero_copy_stream.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t36\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/io/zero_copy_stream_impl_lite.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t37\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/map.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t38\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/message.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t39\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/repeated_field.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t40\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/text_format.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t41\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/util/field_comparator.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t42\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/util/json_util.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t43\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/util/message_differencer.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t44\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"google/protobuf/util/type_resolver_util.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\protobuf.h\t45\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/base/attributes.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t28\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/functional/function_ref.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t29\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/status/status.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t30\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/cord.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t31\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/string_view.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t32\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/optional.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t33\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"tensorflow/tsl/protobuf/error_codes.pb.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t39\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/base/attributes.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\statusor.h\t71\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/status/statusor.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\statusor.h\t72\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/string_view.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\stringpiece.h\t29\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/str_join.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\str_util.h\t23\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/strings/str_split.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\str_util.h\t24\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"absl/types/optional.h\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\threadpool.h\t22\t\r\nОшибка (активно)\tE1696\tне удается открыть источник файл \"third_party/eigen3/unsupported/Eigen/CXX11/ThreadPool\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\threadpool_interface.h\t19\t\r\nОшибка (активно)\tE0020\tидентификатор \"_crt_app_type\" не определен\tai\tC:\\Program Files (x86)\\Windows Kits\\10\\Include\\10.0.22000.0\\ucrt\\corecrt_startup.h\t54\t\r\nОшибка (активно)\tE0020\tидентификатор \"_crt_app_type\" не определен\tai\tC:\\Program Files (x86)\\Windows Kits\\10\\Include\\10.0.22000.0\\ucrt\\corecrt_startup.h\t57\t\r\nОшибка (активно)\tE0020\tидентификатор \"_crt_argv_mode\" не определен\tai\tC:\\Program Files (x86)\\Windows Kits\\10\\Include\\10.0.22000.0\\ucrt\\corecrt_startup.h\t76\t\r\nОшибка (активно)\tE0020\tидентификатор \"_crt_argv_mode\" не определен\tai\tC:\\Program Files (x86)\\Windows Kits\\10\\Include\\10.0.22000.0\\ucrt\\corecrt_startup.h\t80\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files (x86)\\Windows Kits\\10\\Include\\10.0.22000.0\\ucrt\\corecrt_startup.h\t197\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files (x86)\\Windows Kits\\10\\Include\\10.0.22000.0\\ucrt\\process.h\t372\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Min_max_element_t\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t49\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Min_max_element_t\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t50\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Min_max_element_t\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t51\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t52\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t106\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t114\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Ty\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t114\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Stack_space\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t114\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t115\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Optimistic_count\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t115\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t116\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Optimistic_temporary_buffer\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t119\t\r\nОшибка (активно)\tE0341\tфункция \"operator=\" должна быть функцией-членом\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t119\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Optimistic_temporary_buffer\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t119\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t121\t\r\nОшибка (активно)\tE0864\t_Aligned_storage_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t129\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Ty\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t129\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Ty\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t129\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Optimistic_count\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t129\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t130\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t481\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t546\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t569\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t586\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t624\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t1614\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t5969\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t5969\t\r\nОшибка (активно)\tE0864\t_Iter_value_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t5969\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6001\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Iter_diff_t\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6001\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6001\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6001\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6026\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6027\t\r\nОшибка (активно)\tE0147\tобъявление несовместимо с шаблон функции \"_OutIt std::_Move_unchecked(_InIt _First, _InIt _Last, _OutIt _Dest)\" (объявлено в строке 4788 из \"C:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\xutility\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6027\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Backout\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6027\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Backout\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6027\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Next\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6027\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Diff\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6028\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Diff\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6028\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Count\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6028\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Diff\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6028\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Backout\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6028\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Backout\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6028\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6029\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6030\t\r\nОшибка (активно)\tE0020\tидентификатор \"_BidIt\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6033\t\r\nОшибка (активно)\tE0020\tидентификатор \"_First\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6033\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Mid_offset\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6033\t\r\nОшибка (активно)\tE0020\tидентификатор \"_BidIt\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6036\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Diff\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6037\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Mid_offset\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6037\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6038\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Diff\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6058\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6059\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6083\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6084\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6109\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Diff\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6113\t\r\nОшибка (активно)\tE0020\tидентификатор \"_First\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6113\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Last\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6113\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Diff\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6114\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Diff\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6114\t\r\nОшибка (активно)\tE0864\t_Optimistic_temporary_buffer не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6115\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Iter_value_t\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6115\t\r\nОшибка (активно)\tE0020\tидентификатор \"_BidIt\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6115\t\r\nОшибка (активно)\tE0040\tтребуется идентификатор\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6115\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6116\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6117\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6467\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Bottom\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6467\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6468\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t6471\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7044\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7206\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7220\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Dest\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7220\t\r\nОшибка (активно)\tE0020\tидентификатор \"_UFirst2\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7220\t\r\nОшибка (активно)\tE0020\tидентификатор \"_ULast2\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7220\t\r\nОшибка (активно)\tE0020\tидентификатор \"_UDest\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7220\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7221\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7222\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7384\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7385\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7418\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7433\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7434\t\r\nОшибка (активно)\tE0864\t_Iter_value_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7434\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7435\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7435\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7447\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7448\t\r\nОшибка (активно)\tE0864\t_Iter_value_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7448\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7468\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7469\t\r\nОшибка (активно)\tE0864\t_Iter_value_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7469\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7483\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7484\t\r\nОшибка (активно)\tE0864\t_Iter_value_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7484\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t7979\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t8049\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t8373\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t8393\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t8394\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t8412\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t8423\t\r\nОшибка (активно)\tE0864\t_Iter_value_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t8424\t\r\nОшибка (активно)\tE0864\t_Iter_diff_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t8454\t\r\nОшибка (активно)\tE0864\t_Iter_value_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t8455\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t9834\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t9888\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t9898\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t10027\t\r\nОшибка (активно)\tE1835\tатрибут \"nodiscard\" не применяется в этом случае\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t10038\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\algorithm\t10038\t\r\nОшибка (активно)\tE0864\t_Aligned_storage_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\condition_variable\t251\t\r\nОшибка (активно)\tE0020\tидентификатор \"cv_status\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\condition_variable\t258\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\condition_variable\t274\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\condition_variable\t281\t\r\nОшибка (активно)\tE1018\tкласс \"std::_Get_function_impl<tsl::Status (std::vector<std::string, std::allocator<std::string>>, std::vector<std::string, std::allocator<std::string>>, tensorflow::FunctionLibraryDefinition *, const tensorflow::DeviceSet &, tensorflow::Device *, std::unique_ptr<tensorflow::Graph, std::default_delete<tensorflow::Graph>> *)>\" не содержит класс-член \"type\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1015\t\r\nОшибка (активно)\tE0135\tкласс \"std::_Get_function_impl<tsl::Status (std::vector<std::string, std::allocator<std::string>>, std::vector<std::string, std::allocator<std::string>>, tensorflow::FunctionLibraryDefinition *, const tensorflow::DeviceSet &, tensorflow::Device *, std::unique_ptr<tensorflow::Graph, std::default_delete<tensorflow::Graph>> *)>\" не содержит члена \"type\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1017\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1028\t\r\nОшибка (активно)\tE0952\tнетипизированный параметр шаблона не может иметь тип класса\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1028\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1028\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1045\t\r\nОшибка (активно)\tE0952\tнетипизированный параметр шаблона не может иметь тип класса\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1045\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1045\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1075\t\r\nОшибка (активно)\tE0952\tнетипизированный параметр шаблона не может иметь тип класса\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1075\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\functional\t1075\t\r\nОшибка (активно)\tE0020\tидентификатор \"jmp_buf\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\intrin.h\t929\t\r\nОшибка (активно)\tE0020\tидентификатор \"jmp_buf\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\intrin.h\t930\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Kty\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t67\t\r\nОшибка (активно)\tE0864\tpair не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t67\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t70\t\r\nОшибка (активно)\tE0864\tless не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t72\t\r\nОшибка (активно)\tE0864\tallocator не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t72\t\r\nОшибка (активно)\tE0020\tидентификатор \"pair\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t72\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t72\t\r\nОшибка (активно)\tE0706\tтребуется запятая \",\" или угловая скобка \">\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t72\t\r\nОшибка (активно)\tE0864\tless не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t454\t\r\nОшибка (активно)\tE0864\tallocator не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t454\t\r\nОшибка (активно)\tE0020\tидентификатор \"pair\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t454\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t454\t\r\nОшибка (активно)\tE0706\tтребуется запятая \",\" или угловая скобка \">\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t454\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\t701\t\r\nОшибка (активно)\tE0020\tидентификатор \"element_type\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\memory\t1613\t\r\nОшибка (активно)\tE0020\tидентификатор \"element_type\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\memory\t1619\t\r\nОшибка (активно)\tE0020\tидентификатор \"element_type\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\memory\t1661\t\r\nОшибка (активно)\tE0020\tидентификатор \"element_type\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\memory\t1715\t\r\nОшибка (активно)\tE0020\tидентификатор \"element_type\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\memory\t1766\t\r\nОшибка (активно)\tE0020\tидентификатор \"native_handle_type\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t61\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t65\t\r\nОшибка (активно)\tE0239\tнедопустимый спецификатор вне объявления класса\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t67\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t67\t\r\nОшибка (активно)\tE0864\t_Aligned_storage_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t69\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t74\t\r\nОшибка (активно)\tE0262\tне является именем класса или структуры\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t76\t\r\nОшибка (активно)\tE0147\tобъявление несовместимо с \"void swap\" (объявлено в строке 111 из \"C:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t266\t\r\nОшибка (активно)\tE0864\tindex_sequence не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t271\t\r\nОшибка (активно)\tE0864\tindex_sequence не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t278\t\r\nОшибка (активно)\tE0864\tindex_sequence не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t286\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\mutex\t954\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t47\t\r\nОшибка (активно)\tE2386\t\"constexpr\" здесь не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t83\t\r\nОшибка (активно)\tE0834\tнедопустимая частичная специализация -- уже выполнена полная специализация переменная \"_Is_ratio_v [с _Ty=<error-type>]\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t83\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t83\t\r\nОшибка (активно)\tE0864\tvoid_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t140\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t263\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t264\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t265\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t266\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t267\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t268\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t269\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t270\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t271\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t272\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t273\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t274\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t275\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t276\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t277\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t278\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\ratio\t279\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Tuple\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t54\t\r\nОшибка (активно)\tE0020\tидентификатор \"_FnVals\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t54\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t55\t\r\nОшибка (активно)\tE0493\tотсутствуют экземпляры перегруженная функция \"std::invoke\", соответствующие заданному типу\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t55\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Indices\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t55\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t55\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t56\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t57\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t58\t\r\nОшибка (активно)\tE0020\tидентификатор \"thread\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t109\t\r\nОшибка (активно)\tE0341\tфункция \"operator=\" должна быть функцией-членом\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t109\t\r\nОшибка (активно)\tE0020\tидентификатор \"thread\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t109\t\r\nОшибка (активно)\tE0147\tобъявление несовместимо с перегруженная функция \"swap\" (объявлено в строке 442 из \"C:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\map\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t111\t\r\nОшибка (активно)\tE0020\tидентификатор \"thread\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t111\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Other\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t111\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t111\t\r\nОшибка (активно)\tE0020\tидентификатор \"native_handle_type\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t146\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t154\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t156\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t159\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t159\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t175\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t186\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t186\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t203\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t203\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t208\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t210\t\r\nОшибка (активно)\tE0771\tключевое слово explicit недопустимо\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t213\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t213\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t213\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t217\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t217\t\r\nОшибка (активно)\tE1670\tквалификатор типа не разрешен на функции не элементам\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t217\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t218\t\r\nОшибка (активно)\tE0898\tоператору, не являющемуся членом, требуется параметр с класса перечисляемого типа\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t219\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t219\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t219\t\r\nОшибка (активно)\tE0898\tоператору, не являющемуся членом, требуется параметр с класса перечисляемого типа\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t223\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t223\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t223\t\r\nОшибка (активно)\tE0864\tbasic_ostream не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t226\t\r\nОшибка (активно)\tE0898\tоператору, не являющемуся членом, требуется параметр с класса перечисляемого типа\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t226\t\r\nОшибка (активно)\tE0864\tbasic_ostream не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t226\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t226\t\r\nОшибка (активно)\tE0864\thash не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t227\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t227\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t230\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t230\t\r\nОшибка (активно)\tE1670\tквалификатор типа не разрешен на функции не элементам\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t230\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t234\t\r\nОшибка (активно)\tE0325\tвстроенный спецификатор можно использовать только в объявлениях функций\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t238\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t238\t\r\nОшибка (активно)\tE0020\tидентификатор \"thread\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t238\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Left\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t238\t\r\nОшибка (активно)\tE0020\tидентификатор \"thread\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t238\t\r\nОшибка (активно)\tE0020\tидентификатор \"_Right\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t238\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t238\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\thread\t380\t\r\nОшибка (активно)\tE0020\tидентификатор \"_crt_exit_return_mode\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\vcruntime_startup.h\t39\t\r\nОшибка (активно)\tE0020\tидентификатор \"_crt_argv_mode\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\vcruntime_startup.h\t50\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\vcruntime_startup.h\t54\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t52\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t71\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t77\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t253\t\r\nОшибка (активно)\tE2386\t\"constexpr\" здесь не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t259\t\r\nОшибка (активно)\tE0864\t_Is_trivially_swappable_v не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t259\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t259\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t259\t\r\nОшибка (активно)\tE0864\tcommon_type не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t267\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t267\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t267\t\r\nОшибка (активно)\tE0864\tcommon_type не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t273\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t273\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t273\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t280\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t288\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t296\t\r\nОшибка (активно)\tE0020\tидентификатор \"is_convertible_v\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t296\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t296\t\r\nОшибка (активно)\tE0029\tтребуется выражение\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t296\t\r\nОшибка (активно)\tE0020\tидентификатор \"common_type_t\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t296\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t296\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t296\t\r\nОшибка (активно)\tE0840\tиспользование списка аргументов шаблона в объявлении основного шаблона не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t319\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t330\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t339\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t347\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t356\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t420\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t450\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t463\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t483\t\r\nОшибка (активно)\tE0020\tидентификатор \"treat_as_floating_point_v\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t483\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t483\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t483\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t514\t\r\nОшибка (активно)\tE0864\tratio не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t515\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t524\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t532\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t539\t\r\nОшибка (активно)\tE0864\tcommon_type_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t547\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t606\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t613\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t620\t\r\nОшибка (активно)\tE0864\tenable_if_t не является шаблоном\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t628\t\r\nОшибка (активно)\tE0020\tидентификатор \"treat_as_floating_point_v\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t628\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t628\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t628\t\r\nОшибка (активно)\tE0020\tидентификатор \"nanoseconds\" не определен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t665\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t666\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t666\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t698\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t698\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t723\t\r\nОшибка (активно)\tE1835\tатрибут \"nodiscard\" не применяется в этом случае\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t728\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t728\t\r\nОшибка (активно)\tE0040\tтребуется идентификатор\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t728\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.36.32532\\include\\__msvc_chrono.hpp\t788\t\r\nОшибка (активно)\tE0020\tидентификатор \"Placeholder\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t24\t\r\nОшибка (активно)\tE0020\tидентификатор \"DT_FLOAT\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t24\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t24\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t25\t\r\nОшибка (активно)\tE0020\tидентификатор \"Variable\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t28\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tanh\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t30\t\r\nОшибка (активно)\tE0020\tидентификатор \"Add\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t30\t\r\nОшибка (активно)\tE0020\tидентификатор \"MatMul\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t30\t\r\nОшибка (активно)\tE0020\tидентификатор \"ReduceMean\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t33\t\r\nОшибка (активно)\tE0020\tидентификатор \"Square\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t33\t\r\nОшибка (активно)\tE0020\tидентификатор \"Sub\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t33\t\r\nОшибка (активно)\tE0020\tидентификатор \"GradientDescentOptimizer\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t37\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t44\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t44\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t45\t\r\nОшибка (активно)\tE0020\tидентификатор \"input_tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t47\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t47\t\r\nОшибка (активно)\tE0029\tтребуется выражение\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t47\t\r\nОшибка (активно)\tE0020\tидентификатор \"target_tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t48\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t48\t\r\nОшибка (активно)\tE0029\tтребуется выражение\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t48\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t56\t\r\nОшибка (активно)\tE0020\tидентификатор \"prediction\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t57\t\r\nОшибка (активно)\tE0254\tиспользование имени типа не допускается\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t60\t\r\nОшибка (активно)\tE0029\tтребуется выражение\tai\tC:\\Users\\User\\source\\repos\\ai\\ai.cpp\t60\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t48\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t52\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t80\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t125\t\r\nОшибка (активно)\tE0020\tидентификатор \"TensorProto\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t189\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t200\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t223\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t239\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t245\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t247\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t252\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t255\t\r\nОшибка (активно)\tE0020\tидентификатор \"DT_INVALID\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t255\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Span\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\scope.h\t263\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\scope.h\t263\t\r\nОшибка (активно)\tE0020\tидентификатор \"TensorProto\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\ops\\const_op.h\t33\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\common_runtime\\graph_constructor.h\t65\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrValue\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t109\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t160\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t169\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t180\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t188\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t195\t\r\nОшибка (активно)\tE0020\tидентификатор \"OpDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t258\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t266\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t266\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t278\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t280\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t288\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t288\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t293\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"flat_hash_map\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t359\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t359\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t396\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t415\t\r\nОшибка (активно)\tE1455\tобъявленная с использованием ключевого слова override функция-член не переопределят член базового класса\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t416\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t430\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t434\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t434\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t446\t\r\nОшибка (активно)\tE0020\tидентификатор \"GradientDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t455\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t461\t\r\nОшибка (активно)\tE0020\tидентификатор \"GradientDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t468\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t490\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t491\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t496\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t499\t\r\nОшибка (активно)\tE1455\tобъявленная с использованием ключевого слова override функция-член не переопределят член базового класса\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t517\t\r\nОшибка (активно)\tE0020\tидентификатор \"OpRegistrationData\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t518\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t531\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t540\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t560\t\r\nОшибка (активно)\tE0020\tидентификатор \"OptimizedFunctionGraph\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t584\t\r\nОшибка (активно)\tE0020\tидентификатор \"OptimizedFunctionGraph\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t592\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t603\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t603\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t613\t\r\nОшибка (активно)\tE0020\tидентификатор \"GradientDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t615\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t620\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t620\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t642\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"FlatMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t642\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t642\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t643\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"FlatMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t643\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t643\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t645\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"FlatMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t645\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t645\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t671\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t727\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"optional\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t727\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t727\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t731\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"flat_hash_map\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t731\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t731\t\r\nОшибка (активно)\tE0020\tидентификатор \"ConfigProto\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t776\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t839\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t842\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeVector\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t859\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t886\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"optional\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t886\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t886\t\r\nОшибка (активно)\tE0020\tидентификатор \"RendezvousInterface\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t889\t\r\nОшибка (активно)\tE0020\tидентификатор \"CancellationManager\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t890\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t896\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"optional\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t896\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t896\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t922\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t929\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t929\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t935\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t936\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t945\t\r\nОшибка (активно)\tE0439\tтребуется угловая скобка \">\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t945\t\r\nОшибка (активно)\tE0020\tидентификатор \"Env\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t977\t\r\nОшибка (активно)\tE0020\tидентификатор \"ConfigProto\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t980\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1015\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1021\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1021\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"flat_hash_map\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1022\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1022\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1031\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1033\t\r\nОшибка (активно)\tE0283\tиспользование полного имени не допускается\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1057\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1057\t\r\nОшибка (активно)\tE0283\tиспользование полного имени не допускается\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1065\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1065\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1128\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1128\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeVector\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1129\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1192\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1192\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1206\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\function.h\t1207\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t56\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t58\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t61\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t69\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t80\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrValue\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t97\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrValue\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t98\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t106\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t108\t\r\nОшибка (активно)\tE0020\tидентификатор \"TensorProto\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t109\t\r\nОшибка (активно)\tE0020\tидентификатор \"NameAttrList\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t110\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t120\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t126\t\r\nОшибка (активно)\tE0020\tидентификатор \"NameAttrList\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t127\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t152\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t159\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t160\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t161\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t168\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t168\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t169\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t172\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t172\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t175\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t175\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t175\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrValue\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t182\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\node_def_builder.h\t185\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t254\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceBase\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t254\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t257\t\r\nОшибка (активно)\tE0439\tтребуется угловая скобка \">\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t257\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t258\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t259\t\r\nОшибка (активно)\tE0020\tидентификатор \"Env\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t262\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t276\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t277\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t278\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t279\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t282\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t286\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t287\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t288\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t294\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t295\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t298\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t305\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t306\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t322\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceBase\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t351\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t354\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceBase\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t355\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t359\t\r\nОшибка (активно)\tE0439\tтребуется угловая скобка \">\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t359\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t360\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t361\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t423\t\r\nОшибка (активно)\tE0439\tтребуется угловая скобка \">\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t423\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t428\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t443\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t448\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t464\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t469\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t471\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t472\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t473\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t474\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t475\t\r\nОшибка (активно)\tE0020\tидентификатор \"TrackingAllocator\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t568\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t583\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"optional\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t583\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t583\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceBase\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t589\t\r\nОшибка (активно)\tE0020\tидентификатор \"PerOpGpuDevice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t601\t\r\nОшибка (активно)\tE0020\tидентификатор \"RendezvousInterface\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t632\t\r\nОшибка (активно)\tE0020\tидентификатор \"SessionState\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t639\t\r\nОшибка (активно)\tE0020\tидентификатор \"SessionMetadata\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t645\t\r\nОшибка (активно)\tE0020\tидентификатор \"TensorStore\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t648\t\r\nОшибка (активно)\tE0020\tидентификатор \"CancellationManager\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t652\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t655\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Span\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t655\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t655\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t658\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Span\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t658\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t658\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceContext\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t661\t\r\nОшибка (активно)\tE0020\tидентификатор \"FrameAndIter\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t664\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t688\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"optional\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t688\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t688\t\r\nОшибка (активно)\tE0020\tидентификатор \"Env\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t703\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t711\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"optional\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t711\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t711\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t724\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t725\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t728\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t729\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t737\t\r\nОшибка (активно)\tE0864\tStatusOr не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t742\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t742\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t749\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t775\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t784\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t798\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t804\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t854\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t858\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t888\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t889\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t890\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t901\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t906\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t912\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t914\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t917\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t918\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t988\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t990\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t996\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t999\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1006\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1007\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1009\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1010\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1011\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1012\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1018\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1019\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1020\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1021\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1026\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1029\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceContext\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1039\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1062\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"InlinedVector\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1062\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1062\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1140\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1141\t\r\nОшибка (активно)\tE0020\tидентификатор \"CancellationManager\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1152\t\r\nОшибка (активно)\tE0020\tидентификатор \"FrameAndIter\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1159\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceBase\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1164\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1188\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1190\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1197\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1265\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1266\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1272\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1273\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1279\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1281\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1293\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"InlinedVector\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1293\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1293\t\r\nОшибка (активно)\tE0135\tпространство имен \"std\" не содержит члена \"unordered_set\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1297\t\r\nОшибка (активно)\tE0439\tтребуется угловая скобка \">\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1297\t\r\nОшибка (активно)\tE0040\tтребуется идентификатор\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1297\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1304\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"InlinedVector\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1304\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1304\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1311\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"InlinedVector\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1311\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1311\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1313\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"InlinedVector\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1313\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1313\t\r\nОшибка (активно)\tE0135\tкласс \"tensorflow::OpKernelContext\" не содержит члена \"eigen_device\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1325\t\r\nОшибка (активно)\tE1670\tквалификатор типа не разрешен на функции не элементам\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1325\t\r\nОшибка (активно)\tE0135\tкласс \"tensorflow::OpKernelContext\" не содержит члена \"eigen_device\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1328\t\r\nОшибка (активно)\tE1670\tквалификатор типа не разрешен на функции не элементам\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1328\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1372\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceBase\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1373\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1375\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1379\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceBase\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1379\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1380\t\r\nОшибка (активно)\tE0439\tтребуется угловая скобка \">\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1380\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1383\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceBase\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1383\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1385\t\r\nОшибка (активно)\tE0439\tтребуется угловая скобка \">\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1385\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1388\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceBase\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1388\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1391\t\r\nОшибка (активно)\tE0439\tтребуется угловая скобка \">\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1391\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1400\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1400\t\r\nОшибка (активно)\tE0020\tидентификатор \"PrioritizedDeviceTypeVector\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1401\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1402\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1490\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1490\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1497\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef_ExperimentalDebugInfo\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1499\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1500\t\r\nОшибка (активно)\tE0020\tидентификатор \"KernelDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1501\t\r\nОшибка (активно)\tE0020\tидентификатор \"DeviceType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1506\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1506\t\r\nОшибка (активно)\tE0020\tидентификатор \"KernelDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1507\t\r\nОшибка (активно)\tE0020\tидентификатор \"KernelList\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1514\t\r\nОшибка (активно)\tE0020\tидентификатор \"KernelList\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1517\t\r\nОшибка (активно)\tE0020\tидентификатор \"KernelDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1518\t\r\nОшибка (активно)\tE0020\tидентификатор \"KernelList\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1521\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1578\t\r\nОшибка (активно)\tE0147\tобъявление несовместимо с \"tsl::Status tensorflow::OpKernelContext::input_dtype(tensorflow::StringPiece name, <error-type> *dtype) const\" (объявлено в строке 724)\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1578\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1585\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1591\t\r\nОшибка (активно)\tE0020\tидентификатор \"MemoryType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1597\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1622\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1643\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1655\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1661\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1673\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1680\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1686\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1692\t\r\nОшибка (активно)\tE0020\tидентификатор \"Tensor\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\op_kernel.h\t1698\t\r\nОшибка (активно)\tE0059\tнедопустимый вызов функции в константном выражении\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\registration\\registration.h\t40\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\resource_base.h\t51\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t100\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"InlinedVector\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t100\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t100\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t126\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t127\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t305\t\r\nОшибка (активно)\tE0135\tпространство имен \"tensorflow::gtl\" не содержит члена \"InlinedVector\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t305\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t305\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t324\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"DSizes\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t633\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_shape.h\t633\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"DenseIndex\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t25\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t28\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t28\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t28\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t31\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t31\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t31\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t36\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t36\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t36\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t38\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t38\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t38\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t42\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t42\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t42\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t47\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t47\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t47\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t51\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t51\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t51\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t57\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t57\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t57\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t60\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t60\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t60\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t65\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t65\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t65\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t68\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t68\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t68\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t71\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t71\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t71\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t74\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t74\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t74\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t79\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t79\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t79\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t81\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t81\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t81\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t84\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t84\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t84\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t86\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t86\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t86\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t91\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t91\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t91\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t94\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t94\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t94\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t99\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t99\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t99\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t101\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"TensorMap\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t101\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t101\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t106\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t109\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t109\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t117\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t117\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"DSizes\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t132\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t132\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t184\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\tensor_types.h\t190\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\type_index.h\t91\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\framework\\type_index.h\t93\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t104\t\r\nОшибка (активно)\tE0020\tидентификатор \"OpDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t105\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t107\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t111\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeVector\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t112\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t115\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataTypeVector\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t116\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrSlice\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t146\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t149\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t149\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeProperties\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t253\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t279\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t279\t\r\nОшибка (активно)\tE0020\tидентификатор \"AttrValue\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t304\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeProperties\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t343\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeProperties\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t358\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t562\t\r\nОшибка (активно)\tE0864\tStatusOr не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t565\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t565\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t619\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t630\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t631\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t637\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDefLibrary\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t639\t\r\nОшибка (активно)\tE0020\tидентификатор \"FunctionDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t646\t\r\nОшибка (активно)\tE0020\tидентификатор \"GradientDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t652\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t802\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"optional\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t802\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t802\t\r\nОшибка (активно)\tE0020\tидентификатор \"FullTypeDef\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t833\t\r\nОшибка (активно)\tE0020\tидентификатор \"NodeProperties\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t849\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t912\t\r\nОшибка (активно)\tE0135\tпространство имен \"std\" не содержит члена \"map\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t912\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t912\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t916\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"optional\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t916\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph.h\t916\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"flat_hash_map\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t133\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t133\t\r\nОшибка (активно)\tE0020\tидентификатор \"GraphDebugInfo\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t137\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"StatusOr\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t138\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t138\t\r\nОшибка (активно)\tE0020\tидентификатор \"GraphDebugInfo\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_debug_info_builder.h\t143\t\r\nОшибка (активно)\tE0020\tидентификатор \"NameRangeMap\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_node_util.h\t54\t\r\nОшибка (активно)\tE0020\tидентификатор \"NameRangeMap\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\graph_node_util.h\t54\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\node_builder.h\t59\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\node_builder.h\t72\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\node_builder.h\t80\t\r\nОшибка (активно)\tE0864\tStatusOr не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\node_builder.h\t130\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\node_builder.h\t137\t\r\nОшибка (активно)\tE0020\tидентификатор \"DataType\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\graph\\node_builder.h\t152\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\lib\\gtl\\array_slice.h\t28\t\r\nОшибка (активно)\tE0040\tтребуется идентификатор\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\lib\\gtl\\array_slice.h\t28\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\lib\\gtl\\array_slice.h\t28\t\r\nОшибка (активно)\tE0135\tпространство имен \"tsl::gtl\" не содержит члена \"InlinedVector\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\lib\\gtl\\inlined_vector.h\t28\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\platform\\errors.h\t37\t\r\nОшибка (активно)\tE0135\tпространство имен \"tsl\" не содержит члена \"StatusOr\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\core\\platform\\statusor.h\t23\t\r\nОшибка (активно)\tE0864\tNumTraits не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t36\t\r\nОшибка (активно)\tE0864\tNumTraits не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t38\t\r\nОшибка (активно)\tE0864\tNumTraits не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t40\t\r\nОшибка (активно)\tE0864\tNumTraits не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t42\t\r\nОшибка (активно)\tE0864\tNumTraits не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t44\t\r\nОшибка (активно)\tE0864\tscalar_product_traits не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t48\t\r\nОшибка (активно)\tE0020\tидентификатор \"EIGEN_STRONG_INLINE\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t115\t\r\nОшибка (активно)\tE0020\tидентификатор \"EIGEN_STRONG_INLINE\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t118\t\r\nОшибка (активно)\tE0020\tидентификатор \"EIGEN_STRONG_INLINE\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t122\t\r\nОшибка (активно)\tE0020\tидентификатор \"EIGEN_STRONG_INLINE\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t125\t\r\nОшибка (активно)\tE0020\tидентификатор \"EIGEN_STRONG_INLINE\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t130\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\fixedpoint_types.h\t130\t\r\nОшибка (активно)\tE0757\tпеременная \"Eigen::QInt32\" не является именем типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\numeric_types.h\t34\t\r\nОшибка (активно)\tE0864\tNumTraits не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\framework\\numeric_types.h\t52\t\r\nОшибка (активно)\tE0864\thash не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\lib\\gtl\\flatset.h\t39\t\r\nОшибка (активно)\tE0135\tпространство имен \"tsl::internal\" не содержит члена \"FlatRep\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\lib\\gtl\\flatset.h\t255\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\lib\\gtl\\flatset.h\t255\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\lib\\gtl\\inlined_vector.h\t28\t\r\nОшибка (активно)\tE0135\tпространство имен \"Eigen\" не содержит члена \"bfloat16\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\bfloat16.h\t24\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t40\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t41\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t42\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t43\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t44\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t45\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t46\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t47\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t48\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t49\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t50\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t51\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t52\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t53\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t54\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t55\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t56\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t57\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t149\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"StatusCode\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t150\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t275\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t283\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t290\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t296\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t350\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t358\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t365\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t371\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"string_view\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t584\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"string_view\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t596\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"string_view\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t601\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"string_view\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t609\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"string_view\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t614\t\r\nОшибка (активно)\tE0135\tпространство имен \"tsl::error\" не содержит члена \"OK\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\errors.h\t641\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\float8.h\t22\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\float8.h\t23\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\float8.h\t24\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\float8.h\t27\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\float8.h\t28\t\r\nОшибка (активно)\tE0840\tиспользование списка аргументов шаблона в объявлении основного шаблона не допускается\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t73\t\r\nОшибка (активно)\tE0840\tиспользование списка аргументов шаблона в объявлении основного шаблона не допускается\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t87\t\r\nОшибка (активно)\tE0864\thash не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t96\t\r\nОшибка (активно)\tE0020\tидентификатор \"string\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t96\t\r\nОшибка (активно)\tE0864\thash не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t103\t\r\nОшибка (активно)\tE0020\tидентификатор \"tstring\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t103\t\r\nОшибка (активно)\tE0864\thash не является шаблоном\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t110\t\r\nОшибка (активно)\tE0020\tидентификатор \"StringPiece\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t110\t\r\nОшибка (активно)\tE0135\tпространство имен \"tsl\" не содержит члена \"hash\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t115\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t115\t\r\nОшибка (активно)\tE0840\tиспользование списка аргументов шаблона в объявлении основного шаблона не допускается\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t118\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\hash.h\t124\t\r\nОшибка (активно)\tE0020\tидентификатор \"Condition\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t102\t\r\nОшибка (активно)\tE0020\tидентификатор \"Condition\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t108\t\r\nОшибка (активно)\tE0020\tидентификатор \"uint64\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t108\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t111\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t113\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t114\t\r\nОшибка (активно)\tE0135\tпространство имен \"std\" не содержит члена \"cv_status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t239\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t240\t\r\nОшибка (активно)\tE0018\tтребуется круглая скобка \")\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t240\t\r\nОшибка (активно)\tE0020\tидентификатор \"ConditionResult\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t245\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t248\t\r\nОшибка (активно)\tE0020\tидентификатор \"ConditionResult\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t256\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\mutex.h\t311\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t57\t\r\nОшибка (активно)\tE1670\tквалификатор типа не разрешен на функции не элементам\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t66\t\r\nОшибка (активно)\tE0239\tнедопустимый спецификатор вне объявления класса\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t71\t\r\nОшибка (активно)\tE1670\tквалификатор типа не разрешен на функции не элементам\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t71\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t73\t\r\nОшибка (активно)\tE0260\tотсутствует явный тип (требуется \"int\")\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t76\t\r\nОшибка (активно)\tE0020\tидентификатор \"RefCounted\" не определен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t76\t\r\nОшибка (активно)\tE0341\tфункция \"operator=\" должна быть функцией-членом\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t77\t\r\nОшибка (активно)\tE0757\tфункцию \"RefCounted\" не является именем типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t77\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t78\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t90\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t90\t\r\nОшибка (активно)\tE0262\tне является именем класса или структуры\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t144\t\r\nОшибка (активно)\tE1455\tобъявленная с использованием ключевого слова override функция-член не переопределят член базового класса\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t152\t\r\nОшибка (активно)\tE0262\tне является именем класса или структуры\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t155\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t160\t\r\nОшибка (активно)\tE0135\tпространство имен \"std\" не содержит члена \"map\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t160\t\r\nОшибка (активно)\tE0065\tтребуется точка с запятой \";\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t160\t\r\nОшибка (активно)\tE0070\tнедопустимый неполный тип\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t217\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t297\t\r\nОшибка (активно)\tE0169\tтребуется объявление\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\refcount.h\t297\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t57\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t60\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t63\t\r\nОшибка (активно)\tE0283\tиспользование полного имени не допускается\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t72\t\r\nОшибка (активно)\tE0898\tоператору, не являющемуся членом, требуется параметр с класса перечисляемого типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t73\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t73\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t74\t\r\nОшибка (активно)\tE0898\tоператору, не являющемуся членом, требуется параметр с класса перечисляемого типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t78\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t78\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t79\t\r\nОшибка (активно)\tE0898\tоператору, не являющемуся членом, требуется параметр с класса перечисляемого типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t85\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"StatusCode\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t85\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t86\t\r\nОшибка (активно)\tE0898\tоператору, не являющемуся членом, требуется параметр с класса перечисляемого типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t90\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"StatusCode\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t90\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t91\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t104\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t104\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t105\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"Status\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\status.h\t105\t\r\nОшибка (активно)\tE0135\tпространство имен \"absl\" не содержит члена \"StatusOr\"\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\statusor.h\t87\t\r\nОшибка (активно)\tE0276\tимя, за которым следует выражение \"::\", должно определять класс или пространство имен\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\stringpiece.h\t33\t\r\nОшибка (активно)\tE0077\tэто объявление не содержит класс хранения или спецификатор типа\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\tstring.h\t379\t\r\nОшибка (активно)\tE1670\tквалификатор типа не разрешен на функции не элементам\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\tstring.h\t379\t\r\nПредупреждение\tC6386\tПереполнение буфера при записи в \"new_ptr\".\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\ctstring_internal.h\t274\t\r\nПредупреждение\tC6387\t\"new_ptr\" может быть \"0\".\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\ctstring_internal.h\t274\t\r\nПредупреждение\tC6011\tРазыменование пустого указателя \"str->u.large.ptr\". \tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\ctstring_internal.h\t280\t\r\nПредупреждение\tC6386\tПереполнение буфера при записи в \"str->u.large.ptr\".\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\ctstring_internal.h\t280\t\r\nПредупреждение\tC6308\trealloc может возвратить пустой указатель: присвоение пустого указателя переменной \"str->u.large.ptr\", которая передается в качестве аргумента функции realloc, приведет к утечке исходного блока памяти.\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\ctstring_internal.h\t331\t\r\nПредупреждение\tC6387\t\"new_ptr\" может быть \"0\".\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\ctstring_internal.h\t335\t\r\nПредупреждение\tC6011\tРазыменование пустого указателя \"str->u.large.ptr\". Самое раннее расположение, где это могло произойти, см. в строке 335\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\tsl\\platform\\ctstring_internal.h\t339\t\r\nОшибка\tC1083\tНе удается открыть файл включение: absl/status/status.h: No such file or directory,\tai\tC:\\Users\\User\\source\\repos\\ai\\include\\tensorflow\\cc\\framework\\ops.h\t24\t\r\n", "@emailbsuv,\r\nIts unlikely for TF 2.7 version to receive any bug fixes except when we have security patches. There is a high possibility that this was fixed with later TF versions. Perhaps you can use the latest tf versions for your case. \r\n\r\nThe prebuilt binaries for windows are of win_amd64.whl type and seem not supporting for mingw_x86_64 architecture.\r\n\r\nYou have an option for Build from source using MSYS shell. Please refer to the documentation here for [same](https://www.tensorflow.org/install/source_windows#build_using_the_msys_shell).\r\n\r\nThank you!", "[tilakrayal](https://github.com/tilakrayal),\r\nOK, thank you. So I will use the python from my DLL to write complete applications for windows and linux. Thank you. You can close the ticket.\r\n\r\nTensorflow is not meant to be used in C++ although it is written in C++. My releases of my software will grow by 200 megabytes due to the need to invest python.", "@emailbsuv,\r\nGlad the issue was resolved. As mentioned above, moving this issue to the closed status. Thank you!", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61430\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61430\">No</a>\n" ]

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[ "Hi @grofte ,\r\n\r\nThis is already brought to the Docs team notice and they are working on fixing it.\r\n\r\nHowever if you are looking for source code of https://github.com/keras-team/keras/tree/v2.13.1/keras/src/engine/training.py#L70-L3991 then remove `src/` from the URL address and it works fine.This is just a temporary workaround. The problem exists in TF2.13 due to some internal movements.\r\n\r\nIf you want to access older versions you can still access without any problem. For example please look for TF2.12v API docs [here](https://www.tensorflow.org/versions/r2.12/api_docs/python/tf).\r\n", "Okay, I didn't find the `docs-bug` label when I was searching before creating this issue. \r\n\r\nW.r.t. the older API documentation I am aware that it still exists. The links from vers. 2.10 and down work fine so I could open them and edit the address bar. But that doesn't change that both the 2.11 and 2.12 links point to https://www.tensorflow.org/api_docs/python/tf \r\nThe release note links are fine though. I don't know why those two are wrong.", "@grofte ,\r\n\r\nI am not sure I am getting your problem wrt 2.12 avd 2.11 versions. I can see the links are working fine for these versions.\r\n\r\nhttps://www.tensorflow.org/versions/r2.12/api_docs/python/tf\r\n\r\nhttps://www.tensorflow.org/versions/r2.11/api_docs/python/tf", "\r\n\r\n\r\nOn the versions page https://www.tensorflow.org/versions", "Hi @grofte ,\r\n\r\nPlease check this.\r\n\r\n<img width=\"1456\" alt=\"Screenshot 2023-08-01 at 10 19 36 AM\" src=\"https://github.com/tensorflow/tensorflow/assets/116063290/5cb513b0-4d1d-44d1-b2b3-10dc07cc4c0e\">\r\n", "It's still the same. The link right next to where it says \"release notes\" is wrong for r2.12 and r2.11", "Hi @grofte ,\r\n\r\nI have checked all the 3 nos of marked release notes (2.13, 2.12 and 2.11 respectively) in the below snapshot and its working fine and pointing to Release notes of respective version.\r\n\r\n\r\n<img width=\"1456\" alt=\"Screenshot 2023-08-01 at 10 19 36 AM\" src=\"https://github.com/tensorflow/tensorflow/assets/116063290/fb12ad64-5a59-4450-855a-21c77c62b6e7\">\r\n", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61429\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61429\">No</a>\n", "I give up.", "I noticed that the release note links of 2.14v and 2.13v both are pointing to 2.12v release notes.Submitting an internal fix for this.", "@grofte ,\r\n\r\nThe fix has been merged and now I can see correct links for each version release notes. Could you please verify and close the issue now?\r\n\r\nThank you!", "If I click r2.13, r2.12, or r2.11 they still lead to the 2.14 API documents.\r\n\r\nIf I click r2.11 it leads to \r\n\r\nhttps://www.tensorflow.org/api_docs/python/tf\r\n\r\nbut it should lead to\r\n\r\nhttps://www.tensorflow.org/versions/r2.11/api_docs/python/tf ", "Hi @grofte ,\r\n\r\nAre you referring to the below link marked ?\r\n\r\n<img width=\"1331\" alt=\"Screenshot 2023-10-18 at 8 13 37 PM\" src=\"https://github.com/tensorflow/tensorflow/assets/116063290/e2022620-4f4f-4fe6-878e-cfaf10ff0c23\">\r\n\r\n\r\n\r\n It is redirecting to Tf2.13.v link attached below.\r\n\r\nhttps://www.tensorflow.org/versions/r2.13/api_docs/python/tf\r\n\r\nPlease confirm.\r\n", "\r\n\r\nThese three point to current version of docs (which is wrong). The ones not underlined point to the relevant version of the docs. I expect that once version 2.15 is released the same problem will happen for 2.14, i.e. that it will not point to the docs for version 2.14 but instead still point to current docs.", "Hi @grofte ,\r\n\r\nThe issue being addressed in #62389. I have submitted a fix for this today. Will update you once it merged. Thanks!", "@grofte,\r\nThere was an internal issue raised for tracking the same issue and it got resolved now. Could you please try to access any Keras in the Tensorflow.org page, now it is able to re-direct to correct source code. Please check and confirm if it is working in your case.\r\nhttps://www.tensorflow.org/api_docs/python/tf/keras/Model\r\nhttps://github.com/keras-team/keras/blob/v3.3.3/keras/src/models/model.py#L32-L548\r\n\r\nThank you!\r\n\r\n" ]

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[]

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[ "@sarahshehri Could you please make sure to follow the steps [here](https://keras.io/about/)?\r\nTry to use the following;\r\n```\r\nfrom tensorflow import keras\r\n```\r\nIn order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here. Thank you!", "[PROJECT-courseTWO.md](https://github.com/tensorflow/tensorflow/files/1\r\n<img width=\"1123\" alt=\"Screenshot 1445-01-13 at 9 13 11 PM\" src=\"https://github.com/tensorflow/tensorflow/assets/46406878/6d847a0f-7970-419b-8acf-6a6f8d82a498\">\r\n2218033/PROJECT-courseTWO.md)\r\n", "<img width=\"1440\" alt=\"Screenshot 1445-01-13 at 9 15 45 PM\" src=\"https://github.com/tensorflow/tensorflow/assets/46406878/011db8db-37f0-4b4b-8a78-6603ef532ef5\">\r\n<img width=\"1148\" alt=\"Screenshot 1445-01-13 at 9 15 52 PM\" src=\"https://github.co\r\n<img width=\"1119\" alt=\"Screenshot 1445-01-13 at 9 14 00 PM\" src=\"https://github.com/tensorflow/tensorflow/assets/46406878/5633f492-0905-4886-8dbb-dbbe6bd82ca1\">\r\nm/tensorflow/tensorflow/assets/46406878/de498264-cced-4829-812e-85239be1aa73\">\r\n", "<img width=\"1148\" alt=\"Screenshot 1445-01-13 at 9 15 52 PM\" src=\"https://github.com/tensorflow/tensorflow/assets/46406878/3f9154ca-c4e0-486b-aaa7-e412dc1b9913\">\r\n", "> @sarahshehri Could you please make sure to follow the steps [here](https://keras.io/about/)? Try to use the following;\r\n> \r\n> ```\r\n> from tensorflow import keras\r\n> ```\r\n> \r\n> In order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here. Thank you!\r\n\r\nI worked on but without any positive changes! And I attached the python notebook file can take skinnier on it! And I'm waiting your help ", "@sarahshehri Thank you for your response!\r\nCould you please let me know what are the platforms you're using?\r\nIf you are using jupyter notebook, we recommend using conda as it will automatically install all the necessary dependencies. create a new cell in your Jupyter notebook and run the command below;\r\n```\r\npip install tensorflow\r\n```\r\nIt will install the latest TF version. Please make sure you have installed it.\r\nRemember to create a new environment specifically for [TensorFlow](https://www.tensorflow.org/) to avoid conflicts with other [Python](https://www.python.org/) packages.\r\n\r\nThank you!\r\n", "> @sarahshehri Thank you for your response! Could you please let me know what are the platforms you're using? If you are using jupyter notebook, we recommend using conda as it will automatically install all the necessary dependencies. create a new cell in your Jupyter notebook and run the command below;\r\n> \r\n> ```\r\n> pip install tensorflow\r\n> ```\r\n> \r\n> It will install the latest TF version. Please make sure you have installed it. Remember to create a new environment specifically for [TensorFlow](https://www.tensorflow.org/) to avoid conflicts with other [Python](https://www.python.org/) packages.\r\n> \r\n> Thank you!\r\n\r\nThaaaaaaaaank u!!!! finally is resolving i installed the conda on Anaconda platform with using the Jupyter. Thank u again ", "@sarahshehri Thank you for the confirmation. Glad it worked fine for you. Could you please close this issue as it is resolved?\r\nThank you!", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61427\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61427\">No</a>\n" ]

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[ "Hi @Amayuru1999 \r\n\r\nThere is a known issue of tflite model maker installation if you are using Python >=3.10. Please use Python 3.9 or [Mediapipe Model Maker](https://developers.google.com/mediapipe/solutions/model_maker) as a workaround.\r\n\r\nThanks.", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61426\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61426\">No</a>\n", "!pip install git+https://github.com/tensorflow/examples.git\r\n" ]

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[ "@17patelumang,\r\nWe see that you are using tf version 1.0, 1.x is not actively supported, please update to 2.x and let us know if you are facing the same issue. Also could you please confirm whether you are trying to install tensorflow using java from this official doc and follow the instructions mentioned here.\r\nhttps://www.tensorflow.org/jvm/install\r\nhttps://www.tensorflow.org/install/lang_java_legacy\r\n\r\nThank you!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61425\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61425\">No</a>\n", "This is resolved, issue was .gitattribute file. It was replacing CRLF to LF thus corrupting the variables.data-00000-of-00001. Thanks for the help. " ]

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[ "@jpienaar @eric-k256 Just pinging on this PR. Thanks!", "Hi @jpienaar Can you please review this PR ? Thank you!", "Hi @rsuderman Can you please review this PR ? Thank you!", "Hi @jpienaar Can you please review this PR ? Thank you!", "Hi @jpienaar Can you please review this PR ? Thank you!", "Hi @jpienaar Can you please review this PR ? Thank you!", "Hi @jpienaar Can you please review this PR ? Thank you!", "Hi @jpienaar Can you please review this PR ? Thank you!", "Hi @jpienaar Can you please review this PR ? Thank you!", "Hi @jpienaar Can you please review this PR ? Thank you!" ]

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[ "Hi @petered ,\r\n\r\nI have tested the code with TF2.12 and TF 2.13 and its working fine without any crash in both Linux and MacOS.\r\n\r\nPlease refer to attached colab [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/86a8a3d0587a037c239bca9e98601688/61423.ipynb) for Linux\r\n\r\nPlease refer to attached logs on MacOS.\r\n\r\n```\r\n(base) suryanarayanay-macbookpro:Downloads suryanarayanay$ python 61423.py\r\nMetal device set to: Apple M1 Pro\r\n\r\nsystemMemory: 16.00 GB\r\nmaxCacheSize: 5.33 GB\r\n\r\n2023-07-31 10:44:48.799377: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:303] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support.\r\n2023-07-31 10:44:48.799554: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:269] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: <undefined>)\r\nCalculated root\r\nCaught exception: {{function_node __wrapped__MatrixInverse_device_/job:localhost/replica:0/task:0/device:CPU:0}} Input is not invertible. [Op:MatrixInverse] name: \r\n2.13.0\r\n(base) suryanarayanay-macbookpro:Downloads suryanarayanay$ cat python 61423.py\r\ncat: python: No such file or directory\r\n# -*- coding: utf-8 -*-\r\n\"\"\"61423.ipynb\r\n\r\nAutomatically generated by Colaboratory.\r\n\r\nOriginal file is located at\r\n https://colab.research.google.com/drive/1TEavupf_8DvRPsozzaXe8B2d7Dx4kCx9?resourcekey=0-lU-Xrv3KC0zytE2VrYf0Fw\r\n\"\"\"\r\n\r\nimport tensorflow as tf\r\n\r\ndef demo_assertion_error_crashes_program():\r\n\r\n degenerate_matrix = tf.ones((3, 3), dtype=tf.float64)\r\n try:\r\n tf.linalg.sqrtm(degenerate_matrix)\r\n # tf.linalg.inv(degenerate_matrix) # <- This also fails, but raises an actual exception\r\n print(\"Calculated root\") # This is never run\r\n except Exception as err:\r\n print(\"Caught exception: \", err) # Neither is this\r\n\r\nif __name__ == '__main__':\r\n demo_assertion_error_crashes_program()\r\n\r\ndef demo_assertion_error_crashes_program():\r\n\r\n degenerate_matrix = tf.ones((3, 3), dtype=tf.float64)\r\n try:\r\n # tf.linalg.sqrtm(degenerate_matrix)\r\n tf.linalg.inv(degenerate_matrix) # <- This also fails, but raises an actual exception\r\n print(\"Calculated root\") # This is never run\r\n except Exception as err:\r\n print(\"Caught exception: \", err) # Neither is this\r\n\r\nif __name__ == '__main__':\r\n demo_assertion_error_crashes_program()\r\n\r\nprint(tf.__version__)\r\n```\r\n\r\nCould you please cross check with TF2.13v and let us know. SInce it is resolved in latest versions it's unlikely to cherry pick for older versions(Tf2.9v etc).\r\n\r\nThanks!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61423\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61423\">No</a>\n" ]

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[ "I just found out that the architecture seems to play a role. The above log is the same for two different M2 macbooks, but on a four different intel ones, I get fewer \"surprises\":\r\n```shell\r\nOutputs differ for channel indices [0] @ 2 filters\r\nOutputs differ for channel indices [1] @ 2 filters\r\nOutputs differ for channel indices [0, 1] @ 3 filters\r\nOutputs differ for channel indices [0, 2] @ 3 filters\r\nOutputs differ for channel indices [1, 2] @ 3 filters\r\nOutputs differ for channel indices [0, 1, 2] @ 4 filters\r\nOutputs differ for channel indices [0, 1, 3] @ 4 filters\r\nOutputs differ for channel indices [0, 2, 3] @ 4 filters\r\nOutputs differ for channel indices [1, 2, 3] @ 4 filters\r\nOutputs differ for channel indices [0, 1, 2, 3] @ 5 filters\r\nOutputs differ for channel indices [0, 1, 2, 4] @ 5 filters\r\nOutputs differ for channel indices [0, 1, 3, 4] @ 5 filters\r\nOutputs differ for channel indices [0, 2, 3, 4] @ 5 filters\r\nOutputs differ for channel indices [1, 2, 3, 4] @ 5 filters\r\nOutputs differ for channel indices [0, 1, 2, 3, 4] @ 6 filters\r\nOutputs differ for channel indices [0, 1, 2, 3, 5] @ 6 filters\r\nOutputs differ for channel indices [0, 1, 2, 4, 5] @ 6 filters\r\nOutputs differ for channel indices [0, 1, 3, 4, 5] @ 6 filters\r\nOutputs differ for channel indices [0, 2, 3, 4, 5] @ 6 filters\r\nOutputs differ for channel indices [1, 2, 3, 4, 5] @ 6 filters\r\nOutputs differ for channel indices [0, 1, 2, 3, 4, 5] @ 7 filters\r\nOutputs differ for channel indices [0, 1, 2, 3, 4, 6] @ 7 filters\r\nOutputs differ for channel indices [0, 1, 2, 3, 5, 6] @ 7 filters\r\nOutputs differ for channel indices [0, 1, 2, 4, 5, 6] @ 7 filters\r\nOutputs differ for channel indices [0, 1, 3, 4, 5, 6] @ 7 filters\r\nOutputs differ for channel indices [0, 2, 3, 4, 5, 6] @ 7 filters\r\nOutputs differ for channel indices [1, 2, 3, 4, 5, 6] @ 7 filters\r\nOutputs differ for channel indices [0, 1, 2, 3, 4, 5, 6] @ 8 filters\r\nOutputs differ for channel indices [0, 1, 2, 3, 4, 5, 7] @ 8 filters\r\nOutputs differ for channel indices [0, 1, 2, 3, 4, 6, 7] @ 8 filters\r\nOutputs differ for channel indices [0, 1, 2, 3, 5, 6, 7] @ 8 filters\r\nOutputs differ for channel indices [0, 1, 2, 4, 5, 6, 7] @ 8 filters\r\nOutputs differ for channel indices [0, 1, 3, 4, 5, 6, 7] @ 8 filters\r\nOutputs differ for channel indices [0, 2, 3, 4, 5, 6, 7] @ 8 filters\r\nOutputs differ for channel indices [1, 2, 3, 4, 5, 6, 7] @ 8 filters\r\n```", "@christian-steinmeyer Thank you for raising this issue!\r\n@SuryanarayanaY I was trying to replicate the issue on colab and faced the same outcome. Please have a look at [this](https://colab.research.google.com/gist/sushreebarsa/4667af5dcb503e270e3cd4774f08f76c/61422.ipynb#scrollTo=ixP1ltPFklZp) gist. \r\nThank you! ", "Hi, \r\n\r\nThanks for reporting the issues.\r\n\r\nSince the difference is small, it could be due to the floating point precession error,, generally it will be around `1e-7 ` and it can be ignored.", "True, what I found surprising was, that most of the difference tensor is zeros. There are only small values in \"blocks\" scattered throughout, usually towards the last couple of channels. To me, that looked like it was something else." ]

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[ "Hi @ViniciusSuaiden \r\n\r\nI have replicated the reported issue, please check out the gist [here](https://colab.research.google.com/gist/Varsha-anjanappa/d3e3c1b1d764271e3bf52fea5498b5bb/61421.ipynb). This issue needs to be looked into.\r\n\r\nThank you!!", "Thanks, @Varsha-anjanappa!\r\n\r\nIt's been a week and no update (I see the assignee is now @sachinprasadhs), and since I've tried to use the Debugger V2 to debug my model for a competition, I kind of have a deadline and this is the only way I found to do that.\r\n\r\nTherefore, I'd like to know if there's something I can do about it... maybe some guidance for a PR? \r\n\r\nThank you in advance!", "@ViniciusSuaiden , Apologies for the delayed response, concerned team is currently looking into this issue.\r\nWill update you here once any new information is available. Thank you.", "Thank you, @sachinprasadhs, for the update. I appreciate it. I'll await further information :)" ]

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[ "I am new to OpenSource .Can u please assign me this issue\r\n", "@lwlsaysnuaa,\r\nCould you please elaborate about your Feature. Also, please specify the Use Cases for this feature, it helps to analyse the issue/feature in an effective way. Thank you!", "@tilakrayal,\r\n### Use Case — dlpack_execute.py\r\ntensorflow version: 2.9.0\r\n```python\r\nimport tensorflow as tf\r\nimport tensorflow.experimental.dlpack as tfdlpack\r\n\r\n# Define a pre-processing network that runs on the TensorFlow framework and\r\n# consists of 3 matmuls in series.\r\ndef pre_process_network(input_tensor):\r\n w1 = tf.Variable(tf.random.normal([10000, 10000]))\r\n w2 = tf.Variable(tf.random.normal([10000, 10000]))\r\n w3 = tf.Variable(tf.random.normal([10000, 10000]))\r\n x = tf.matmul(input_tensor, w1)\r\n x = tf.matmul(x, w2)\r\n x = tf.matmul(x, w3)\r\n return x\r\n\r\n# Define an intermediate processing network that will actually run on another\r\n# inference framework. For the sake of demonstration, we use the TensorFlow\r\n# framework to simulate the execution of other inference engines. The input\r\n# and output of the model are both dlpack tensors, and the content is 3 matmuls\r\n# in series.\r\ndef mid_process_network_sync(input_tensor):\r\n w1 = tf.Variable(tf.random.normal([10000, 100]))\r\n w2 = tf.Variable(tf.random.normal([100, 100]))\r\n w3 = tf.Variable(tf.random.normal([100, 10000]))\r\n input_tensor = tfdlpack.from_dlpack(input_tensor)\r\n x = tf.matmul(input_tensor, w1)\r\n x = tf.matmul(x, w2)\r\n x = tf.matmul(x, w3)\r\n x = tfdlpack.to_dlpack(x)\r\n return x\r\n\r\n# Define an intermediate processing network that runs on the TensorFlow\r\n# framework and consists of 3 matmuls in series.\r\ndef mid_process_network_async(input_tensor):\r\n w1 = tf.Variable(tf.random.normal([10000, 100]))\r\n w2 = tf.Variable(tf.random.normal([100, 100]))\r\n w3 = tf.Variable(tf.random.normal([100, 10000]))\r\n x = tf.matmul(input_tensor, w1)\r\n x = tf.matmul(x, w2)\r\n x = tf.matmul(x, w3)\r\n return x\r\n\r\n# Define a post-processing network that runs on the TensorFlow framework and\r\n# consists of 3 matmuls in series.\r\ndef post_process_network(input_tensor):\r\n w1 = tf.Variable(tf.random.normal([10000, 10000]))\r\n w2 = tf.Variable(tf.random.normal([10000, 10000]))\r\n w3 = tf.Variable(tf.random.normal([10000, 10000]))\r\n x = tf.matmul(input_tensor, w1)\r\n x = tf.matmul(x, w2)\r\n x = tf.matmul(x, w3)\r\n return x\r\n\r\n# Main function: create input tensor and call pre-processing network to get\r\n# output pre_output, call mid-process network (other inference engine) with\r\n# pre_output passed to mid-process networkvia tfdlpack.to_dlpack to get output\r\n# mid_output, call post-process network with output mid_output passed via\r\n# tfdlpack.from_dlpack. This process is repeated 10 times through a loop,\r\n# print the final result.\r\ndef main():\r\n # Optimal performance: all three networks run asynchronously on the\r\n # TensorFlow framework.\r\n input_tensor = tf.ones([1, 10000])\r\n for i in range(10):\r\n pre_output = pre_process_network(input_tensor)\r\n mid_output = mid_process_network_async(pre_output)\r\n post_output = post_process_network(mid_output)\r\n input_tensor = post_output\r\n print(post_output)\r\n\r\n # Poor performance: intermediate network runs on other inference engine\r\n # but there is synchronization due to dlpack before and after.\r\n input_tensor = tf.ones([1, 10000])\r\n for i in range(10):\r\n pre_output = pre_process_network(input_tensor)\r\n mid_output = tfdlpack.from_dlpack(\r\n mid_process_network_sync(tfdlpack.to_dlpack(pre_output)))\r\n post_output = post_process_network(mid_output)\r\n input_tensor = post_output\r\n print(post_output)\r\n\r\nif __name__ == '__main__':\r\n main()\r\n```\r\n\r\nBy running the following command, we can obtain the Nsight Systems file. Opening the file, we can see the result shown in the figure below. It can be seen that the dlpack_execute.py is mainly divided into two execution stages. In the first stage, the pre-, mid-, and post-networks are all executed asynchronously on the TensorFlow framework, and the gap time between kernels is almost zero. In the second stage, the mid-network uses DLPack to convert inputs and outputs, and the intermediate execution is on another inference engine. Since DLPack is executed synchronously, it introduces many synchronization operations, resulting in gap time between kernels, leading to a decrease in hardware utilization and an increase in end-to-end execution time. If DLPack supports asynchronous operations, this part of the execution logic would be similar to the first stage, using asynchronous methods throughout, which could improve hardware utilization.\r\n\r\n`nsys profile -w true -t cuda,nvtx,cudnn,cublas -f true -x true -o dlpack_execute python dlpack_execute.py`\r\n\r\n\r\n", "I would like to work on this issue can you please assign me this issue?\r\n", "@amishhaa , We don't assign any external contributors to the issue.\r\nBut, you're always welcome to contribute on any issue.\r\nFeel free to create a PR and link this issue. Thanks!" ]

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[ "Hi @suyash-narain \r\n\r\nThe NNAPI delegate is available with the TensorFlow Lite Interpreter in Java and Kotlin. \r\n\r\nFor Android C APIs, please refer to [Android Native Developer Kit documentation](https://developer.android.com/ndk/guides/neuralnetworks).\r\n\r\nCan you check [NAAPI support library](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/nnapi/sl#nnapi-support-library) and let us know if it helps?\r\n\r\nThanks.", "Hi @pjpratik \r\nI do not understand. You say NNAPI delegate is available in Java and Kotlin, but i have been able to use the external NNAPI delegate created with python API too. \r\ni have a nnapi_delegate.so file and i can load it to python script and execute. \r\ndoesn't C++ have anything similar?\r\n\r\nMy C++ script already has these two headers:\r\n\r\n#include \"tensorflow/lite/tools/delegates/delegate_provider.h\"\r\n#include \"tensorflow/lite/delegates/nnapi/nnapi_delegate.h\"\r\n\r\nAnd the label_image.cc makes use of NNAPI but i can't understand how or where is the NNAPI object is being created which is calling the delegate library .so file to execute. Some assistance here would be nice.\r\n\r\nthanks\r\n\r\n", "also, @pjpratik @pkgoogle if i have a delegate shared library file .so (say for NNAPI or any custom delegate), is there any way I can use that shared library when calling this delegate?\r\ni know i can use this for hexagon tflite delegate, but does NNAPI or custom delegate tflite C++ api have it too?", "Hi @suyash-narain,\r\n\r\nI was able to compile the minimal C++ example with your code modified like this:\r\n\r\n```C++\r\n/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.\r\n\r\nLicensed under the Apache License, Version 2.0 (the \"License\");\r\nyou may not use this file except in compliance with the License.\r\nYou may obtain a copy of the License at\r\n\r\n http://www.apache.org/licenses/LICENSE-2.0\r\n\r\nUnless required by applicable law or agreed to in writing, software\r\ndistributed under the License is distributed on an \"AS IS\" BASIS,\r\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\r\nSee the License for the specific language governing permissions and\r\nlimitations under the License.\r\n==============================================================================*/\r\n#include <cstdio>\r\n\r\n#include \"tensorflow/lite/interpreter.h\"\r\n#include \"tensorflow/lite/kernels/register.h\"\r\n#include \"tensorflow/lite/model.h\"\r\n#include \"tensorflow/lite/optional_debug_tools.h\"\r\n#include \"tensorflow/lite/delegates/nnapi/nnapi_delegate.h\"\r\n\r\n// This is an example that is minimal to read a model\r\n// from disk and perform inference. There is no data being loaded\r\n// that is up to you to add as a user.\r\n//\r\n// NOTE: Do not add any dependencies to this that cannot be built with\r\n// the minimal makefile. This example must remain trivial to build with\r\n// the minimal build tool.\r\n//\r\n// Usage: minimal <tflite model>\r\n\r\n#define TFLITE_MINIMAL_CHECK(x) \\\r\n if (!(x)) { \\\r\n fprintf(stderr, \"Error at %s:%d\\n\", __FILE__, __LINE__); \\\r\n exit(1); \\\r\n }\r\n\r\nint main(int argc, char* argv[]) {\r\n if (argc != 2) {\r\n fprintf(stderr, \"minimal <tflite model>\\n\");\r\n return 1;\r\n }\r\n const char* filename = argv[1];\r\n\r\n // Load model\r\n std::unique_ptr<tflite::FlatBufferModel> model =\r\n tflite::FlatBufferModel::BuildFromFile(filename);\r\n TFLITE_MINIMAL_CHECK(model != nullptr);\r\n\r\n // Build the interpreter with the InterpreterBuilder.\r\n // Note: all Interpreters should be built with the InterpreterBuilder,\r\n // which allocates memory for the Interpreter and does various set up\r\n // tasks so that the Interpreter can read the provided model.\r\n tflite::ops::builtin::BuiltinOpResolver resolver;\r\n tflite::InterpreterBuilder builder(*model, resolver);\r\n std::unique_ptr<tflite::Interpreter> interpreter;\r\n builder(&interpreter);\r\n TFLITE_MINIMAL_CHECK(interpreter != nullptr);\r\n\r\n std::map<std::string, tflite::Interpreter::TfLiteDelegatePtr> delegates;\r\n auto delegate = tflite::Interpreter::TfLiteDelegatePtr(tflite::NnApiDelegate(), [](TfLiteDelegate*) {});\r\n delegates.emplace(\"NNAPI\", std::move(delegate));\r\n for (const auto& delegate : delegates) {\r\n interpreter->ModifyGraphWithDelegate(delegate.second.get());\r\n }\r\n\r\n // Allocate tensor buffers.\r\n TFLITE_MINIMAL_CHECK(interpreter->AllocateTensors() == kTfLiteOk);\r\n printf(\"=== Pre-invoke Interpreter State ===\\n\");\r\n tflite::PrintInterpreterState(interpreter.get());\r\n\r\n // Fill input buffers\r\n // TODO(user): Insert code to fill input tensors.\r\n // Note: The buffer of the input tensor with index `i` of type T can\r\n // be accessed with `T* input = interpreter->typed_input_tensor<T>(i);`\r\n\r\n // Run inference\r\n TFLITE_MINIMAL_CHECK(interpreter->Invoke() == kTfLiteOk);\r\n printf(\"\\n\\n=== Post-invoke Interpreter State ===\\n\");\r\n tflite::PrintInterpreterState(interpreter.get());\r\n\r\n // Read output buffers\r\n // TODO(user): Insert getting data out code.\r\n // Note: The buffer of the output tensor with index `i` of type T can\r\n // be accessed with `T* output = interpreter->typed_output_tensor<T>(i);`\r\n\r\n return 0;\r\n}\r\n```\r\n\r\nThis tells me you probably have a compilation issue rather than anything else... Do you have the header in the right place? Are you using cmake/bazel to compile? Can you check how your build system if any looks for include headers?", "I am trying to compile it for an aarch64 linux system, using g++\r\nI have all the libraries i need already installed in place and have all the right headers too, in my /usr/include\r\n\r\ncompilation command on target:\r\n\r\n'g++ image_classification.cpp -o image_classification -lnnapi-support -lneuralnetworks -l/usr/lib/nnapi_delegate.so -ltensorflowlite -lopencv_objdetect -lopencv_features2d -lopencv_imgproc -lopencv_highgui -lopencv_core -lopencv_imgcodecs'\r\n\r\nCan you please tell me your compilation command? I already have tf compiled and installed so building tf again doesn't make sense. \r\n\r\nI have a .so file which is used for NNAPI delegate. How do i include that .so file here? the library is nnapi_delegate.so\r\nin python, i can simply provide it to 'experimental_delegates' argument. Anyway i can link it in C++ too?\r\n\r\nthanks\r\n", "Hi @suyash-narain, I used the minimal example and cmake: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/examples/minimal, so cmake constructs the compiler commands for me. In general it is recommended that you use/learn a build system (cmake/bazel would be good choices) as that will automate some of these things for you. However to answer your question more directly, you need the -I flag to point to the Include source directory, and -L to link your .so file, there are probably multiple ways to accomplish this with environment variables and other g++ settings.\r\n\r\nPlease review these links for examples:\r\nhttps://stackoverflow.com/questions/12654013/how-to-make-g-search-for-header-files-in-a-specific-directory\r\nhttps://stackoverflow.com/questions/27208932/link-so-file-to-cpp-file-via-g-compiling", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61419\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61419\">No</a>\n" ]

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