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Isuru0x01

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tensorflow-issues

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[ "Hi @miaout17, can you please take a look? Thanks.", "Hi @robertkamara,\r\n\r\nIt looks like this issue appears to have been resolved since PR [#2589](https://github.com/tensorflow/tflite-micro/pull/2589) was already merged into TFLite-micro repo.\r\n\r\nThank You\r\n" ]

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[ "@attaluris TensorFlow[and-cuda] 2.15.0/2.15.1 is likely not compatible with jax[cuda12]. There's a version mismatch with respect to the NVIDIA NCCL library, a component needed for GPU support in both TensorFlow and JAX.\r\nTensorFlow 2.15.0/2.15.1 might depend on an older NCCL version (e.g., nvidia-nccl-cu12 version 2.16.5).\r\nFor any further queries please raise an issue in [Jax](https://github.com/google/jax/issues) repository.\r\n\r\nThank you!", "@sushreebarsa Is there a way we could loosen the strict requirement in tensorflow from `=2.16.5` to `>2.16.5`?\r\n\r\nI also raised an issue in the Jax repo", "@attaluris Could you try to update tensorflow to 2.16.1 and jax to 0.4.28?\r\nTF 2.16.1 uses nvidia-nccl-cu12==2.19.3 (from tensorflow[and-cuda]) which is compatible with JAX's requirement of >=2.18.3.\r\n\r\nThank you!\r\n", "@sushreebarsa thanks for the detail! 👀 \r\nI'm seeing the same issue as https://github.com/tensorflow/tensorflow/issues/63362 with tensorflow 2.16.1 so I'm using 2.15.1\r\ncan I get a confirmation that the tensorflow 2.16.1 installation will be fixed and maybe a timeline? thanks in advance!", "@attaluris On ubuntu 20.04LTS machine with Tesla P100 GPU, we tried to install JAX 0.4.28 cuda version first and then installed tensorflow 2.15.1. Both were installed successfully. JAX and tf were able to detect GPUs as well. Please have a look at the below screenshot for reference.\r\n<img width=\"1505\" alt=\"image (4)\" src=\"https://github.com/tensorflow/tensorflow/assets/84765720/99770c0e-e604-4b24-bd15-e7277214aab4\">\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." ]

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[ "HI @khatchad ,\r\n- Thank you for reporting this issue, I raised a request internally for the fix adding the example code for the api tf.dynamic_partiotion(). Once it resolved the code will gets updated automatically in the upcoming release. \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." ]

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[ "Hi @saicharanbhimaraju1 , can you give us more details on how to reproduce this issue? Additionally, could you tell me why the config is `elinux_aarch64` and not as shown in the [guide](https://www.tensorflow.org/lite/guide/ops_select#cc)?", "Hi @Rohanjames1997 I wanted to build tensorflowlite flex so file for arm64 target, so I used config elinux_aarch64 which is in .bazelrc file. \r\nSteps to reproduce the issue:\r\n1. Download tensorflow v2.15 source\r\n2. cd tensorflow and execute bazel build -c opt --config=elinux_aarch64 tensorflow/lite/delegates/flex:tensorflowlite_flex\r\n\r\n\r\n\r\nJust today morning I was able to build tensorflow flex so file arm64 target with tensorflow v2.9.1 with same steps along with that I took help from [https://github.com/tensorflow/tensorflow/issues/52018] .\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/68258\">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/68258\">No</a>\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/68250/checks?check_run_id=25173764273) 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 @cheshire Can you please review this PR ? Thank you!" ]

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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/68248/checks?check_run_id=25172226196) 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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[ "facing the same issue" ]

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[ "@chudur-budur Could you ensure the path to system libraries is included in the LIBRARY_PATH environment variable for the build process. You might need to modify the Bazel configuration to achieve this. If the issue persists, please consider rebuilding your Anaconda environment to ensure all libraries are properly installed and configured for the chosen compiler (clang-17) and let us know?\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/68246\">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/68246\">No</a>\n" ]

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[ "please help me!!!thanks!😭😭😭", "@Viper373,\r\nCould you please confirm whether you are trying to install TensorFlow v2.16 on Windows with GPU? If you are trying the same, 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-%5Bwsl2%5D), or install tensorflow-cpu and, optionally, try the [TensorFlow-DirectML-Plugin](https://github.com/microsoft/tensorflow-directml-plugin#tensorflow-directml-plugin-)\r\n\r\nhttps://www.tensorflow.org/install/pip#windows-native_1\r\n\r\nThank you!", "> ，您能否确认您是否正在尝试在带有 GPU 的 Windows 上安装 TensorFlow v2.16？如果您正在尝试相同的方法，TensorFlow 2.10 是本机 Windows 上支持 GPU 的最后一个 TensorFlow 版本。从 TensorFlow 2.11 开始，您需要[在 WSL2 中安装 TensorFlow](https://tensorflow.org/install/pip#windows-%5Bwsl2%5D)，或者安装 tensorflow-cpu，并根据需要尝试 [TensorFlow-DirectML-Plugin](https://github.com/microsoft/tensorflow-directml-plugin#tensorflow-directml-plugin-)\r\n> \r\n> https://www.tensorflow.org/install/pip#windows-native_1\r\n> \r\n> 谢谢！\r\n\r\nI am certain that my Windows machine comes with a GPU, model 4070 super. Additionally, my Python version is 3.10.7, and I have installed cuda version 12.3 and cuDNN version 8.9.7. What version do I need to install? Can you help me write the corresponding Python, CUDA, and CUDNN versions for TF2.10", "@Viper373,\r\nThe compatible tested build configurations for TensorFlow v2.10 on Windows are tensorflow_gpu-2.10.0, python 3.7-3.10\tCompiler - MSVC 2019, Bazel 5.1.1, cuDNN-8.1, CUDA-11.2.\r\nhttps://www.tensorflow.org/install/source_windows#gpu\r\n\r\nThank you!", "> @Viper373, The compatible tested build configurations for TensorFlow v2.10 on Windows are tensorflow_gpu-2.10.0, python 3.7-3.10 Compiler - MSVC 2019, Bazel 5.1.1, cuDNN-8.1, CUDA-11.2. https://www.tensorflow.org/install/source_windows#gpu\r\n> \r\n> Thank you!\r\n\r\nthank you a lot！！！", "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/68236\">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/68236\">No</a>\n" ]

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