Datasets:

---

Isuru0x01

/

tensorflow-issues

like 0

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[ "@rishikasinha-tf " ]

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[ "@javidcf Could you please have a look at [this](https://github.com/tensorflow/tensorflow/commit/11fc1489d01822a2e728103c3af998976b4e7cd1) commit and the similar [issue](https://github.com/tensorflow/tensorflow/issues/36268)?\r\nPlease let me know if that helps?\r\nThank you!", "@sushreebarsa Thank you for your comment. I do not think that is the same issue, though. As far as I can tell, `assert_shapes_v2` still returns nothing (`None`) in the updated version, so the issue (`Can not convert a NoneType into a Tensor or Operation`) would still remain.", "@javidcf Thank you for the response!\r\n@sachinprasadhs I was able to replicate this issue on colab using TF [v2.13](https://colab.research.google.com/gist/sushreebarsa/c3ac3eb222690fcad0995228f8776ac1/61163.ipynb#scrollTo=DJdrqrY_gvhv) and tf-[nightly](https://colab.research.google.com/gist/sushreebarsa/d248f16d897678e057daa3fbd308bcdf/61163.ipynb#scrollTo=DJdrqrY_gvhv). Please find the attached gists. 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/61163\">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/61163\">No</a>\n" ]

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[ "@sachinprasadhs,\r\nI was able to reproduce the issue on tensorflow v2.12 and tf-nightly. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/8fee6b4c8b5090859107c7268116cc61/untitled1220.ipynb)." ]

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[ "Hi @arthurflor23 ,\r\n\r\nI have replicated the reported behaviour with tf-nightly and attached [gist](https://colab.research.google.com/gist/SuryanarayanaY/72026e6487102834b802491f531e7b53/61169.ipynb) here. It seems valid bug for me and needs to dig more.\r\n\r\nThanks !", "Hi,\r\nAny news on this?" ]

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[ "@munsteraner \r\nIn order to expedite the trouble-shooting process, please provide the complete code snippet to reproduce the issue reported here. I tried to replicate the issue reported [here](https://colab.research.google.com/gist/sushreebarsa/f58fda9edac09f76d7016a66cf691452/61160.ipynb). 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.", "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/61160\">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/61160\">No</a>\n" ]

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[ "According to this https://github.com/gvne/spleeterpp/blob/v0.1/docs/source/build.rst\r\nI should add the following lines to `tensorflow/tools/def_file_filter/def_file_filter.py.tpl`\r\n```\r\ndef_fp.write(\"\\t ??0SessionOptions@tensorflow@@QEAA@XZ\\n\")\r\ndef_fp.write(\"\\t ?LoadSavedModel@tensorflow@@YA?AVStatus@1@AEBUSessionOptions@1@AEBVRunOptions@1@AEBV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@AEBV?$unordered_set@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@U?$hash@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@2@U?$equal_to@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@2@V?$allocator@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@2@@6@QEAUSavedModelBundle@1@@Z\\n\")\r\ndef_fp.write(\"\\t ??0?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEAA@XZ\\n\")\r\ndef_fp.write(\"\\t ??0?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEAA@V?$Span@$$CB_J@absl@@@Z\\n\")\r\n```\r\n\r\nHowever these steps are for TF 1.14.0, and when I try the above for TF 2.9, I get the following error: \r\n\r\n```\r\nERROR: D:/users/superkogito/_bazel_superkogito/6mghjs3w/external/llvm-project/llvm/BUILD.bazel:623:11: Generating code from table: include/llvm/IR/Intrinsics.td @llvm-project//llvm:intrinsic_NVPTX_gen__gen_intrinsic_enums__intrinsic_prefix_nvvm_genrule failed: (Exit -1073741819): bash.exe failed: error executing command\r\n cd /d D:/users/superkogito/_bazel_superkogito/6mghjs3w/execroot/org_tensorflow\r\n SET PATH=C:\\msys64\\usr\\bin;C:\\msys64\\bin;C:\\windows;C:\\windows\\System32;C:\\windows\\System32\\WindowsPowerShell\\v1.0;D:\\Users\\superkogito\\AppData\\Local\\bazelisk\\downloads\\bazelbuild\\bazel-5.0.0-windows-x86_64\\bin;C:\\ProgramData\\Anaconda3\\condabin;C:\\windows;C:\\windows\\system32;C:\\windows\\System32\\Wbem;C:\\windows\\System32\\WindowsPowerShell\\v1.0;C:\\Windows;C:\\Windows\\system32;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0;C:\\windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\windows\\System32\\OpenSSH\\;C:\\Program Files\\VSCode-huawei\\bin;C:\\ProgramData\\chocolatey\\bin;C:\\Program Files\\Git\\cmd;C:\\Program Files\\Microsoft SQL Server\\150\\Tools\\Binn\\;C:\\Program Files\\CMake\\bin;C:\\Program Files\\Meld\\;C;C:\\Program Files\\PuTTY\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\nodejs\\;C:\\Program Files (x86)\\Windows Kits\\10\\Microsoft Application Virtualization\\Sequencer\\;C:\\Program Files\\Go\\bin;C:\\msys64\\usr\\bin;C:\\msys64\\mingw64\\bin;C:\\Program Files\\dotnet\\;D:\\Users\\superkogito\\AppData\\Local\\Microsoft\\WindowsApps;C:\\ProgramData\\Anaconda3;C:\\ProgramData\\Anaconda3\\Scripts;C:\\ProgramData\\chocolatey\\lib\\mingw\\tools\\install\\mingw64\\bin;D:\\wecode_build_tools\\mingw\\bin;C:\\Program Files\\Vim\\vim90;D:\\Users\\superkogito\\AppData\\Local\\Programs\\oh-my-posh\\bin;D:\\Users\\superkogito\\AppData\\Local\\Pandoc\\;D:\\Users\\superkogito\\AppData\\Roaming\\npm;D:\\Users\\superkogito\\go\\bin;D:\\Users\\superkogito\\.dotnet\\tools\r\n SET PYTHON_BIN_PATH=C:/ProgramData/Anaconda3/python.exe\r\n SET PYTHON_LIB_PATH=C:/ProgramData/Anaconda3/lib/site-packages\r\n SET RUNFILES_MANIFEST_ONLY=1\r\n SET TF2_BEHAVIOR=1\r\n C:\\msys64\\usr\\bin\\bash.exe -c source external/bazel_tools/tools/genrule/genrule-setup.sh; bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/llvm-tblgen.exe -I external/llvm-project/llvm/include -I external/llvm-project/clang/include -I $(dirname external/llvm-project/llvm/include/llvm/IR/Intrinsics.td) -gen-intrinsic-enums -intrinsic-prefix=nvvm external/llvm-project/llvm/include/llvm/IR/Intrinsics.td -o bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/include/llvm/IR/IntrinsicsNVPTX.h\r\n# Configuration: ba54b48ce4c79231b8df54f05b418e10c258e9f9f8bc4e1d4ed12ca6643cbb5a\r\n# Execution platform: @local_execution_config_platform//:platform\r\n 1 [main] bash (42124) C:\\msys64\\usr\\bin\\bash.exe: *** fatal error - add_item (\"\\??\\C:\\msys64\", \"/\", ...) failed, errno 1\r\nStack trace:\r\nFrame Function Args\r\n0007FFFFCD30 0001800611BE (00018028FD8A, 000180271B51, 00000000007F, 0007FFFF8B30) msys-2.0.dll+0x211BE\r\n0007FFFFCD30 0001800469BA (000000000000, 0007FFFFCD30, 0001A1000010, 0007FFFFABDA) msys-2.0.dll+0x69BA\r\n0007FFFFCD30 0001800469F2 (0007FFFF9BC0, 000000000001, 00000000007F, 000000000001) msys-2.0.dll+0x69F2\r\n0007FFFFCD30 00018007E5E7 (000700000000, 000040000024, 000000000000, 000000000000) msys-2.0.dll+0x3E5E7\r\n0007FFFFCD30 000180182B05 (000180073224, 000000000000, 000000000000, 000000000000) msys-2.0.dll+0x142B05\r\n0007FFFFCD30 000180047012 (000000000000, 000000000000, 000000000000, 000000000000) msys-2.0.dll+0x7012\r\n0007FFFFFFF0 000180045C86 (000000000000, 000000000000, 000000000000, 000000000000) msys-2.0.dll+0x5C86\r\n0007FFFFFFF0 000180045D34 (000000000000, 000000000000, 000000000000, 000000000000) msys-2.0.dll+0x5D34\r\nEnd of stack trace\r\nLoaded modules:\r\n000100400000 bash.exe\r\n7FF8D5F30000 ntdll.dll\r\n7FF8D4EE0000 KERNEL32.DLL\r\n7FF8D38D0000 KERNELBASE.dll\r\n7FF8A57F0000 ghijt64win10.dll\r\n7FF8D4350000 ADVAPI32.dll\r\n7FF8D5080000 msvcrt.dll\r\n7FF8D4710000 sechost.dll\r\n7FF8D45E0000 RPCRT4.dll\r\n7FF8D4190000 USER32.dll\r\n7FF8D3F60000 win32u.dll\r\n7FF8D5120000 GDI32.dll\r\n7FF8D3D90000 gdi32full.dll\r\n7FF8D3800000 msvcp_win.dll\r\n7FF8D3BD0000 ucrtbase.dll\r\n000180040000 msys-2.0.dll\r\n7FF88EBE0000 VCOMP140.DLL\r\n7FF8D4160000 IMM32.DLL\r\n7FF8D3310000 oleLoader.dll\r\n7FF8D2F30000 CRYPTBASE.DLL\r\n7FF8D3770000 bcryptPrimitives.dll\r\nTarget //tensorflow:tensorflow_cc.dll failed to build\r\nINFO: Elapsed time: 2349.371s, Critical Path: 663.47s\r\nINFO: 5431 processes: 2009 internal, 3422 local.\r\nFAILED: Build did NOT complete successfully\r\n\r\n``` ", "moving the following lines to line 275 in the `tensorflow/tools/def_file_filter/def_file_filter.py.tpl` causes a different error. \r\n```\r\ndef_fp.write(\"\\t ??0SessionOptions@tensorflow@@QEAA@XZ\\n\")\r\ndef_fp.write(\"\\t ?LoadSavedModel@tensorflow@@YA?AVStatus@1@AEBUSessionOptions@1@AEBVRunOptions@1@AEBV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@AEBV?$unordered_set@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@U?$hash@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@2@U?$equal_to@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@2@V?$allocator@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@2@@6@QEAUSavedModelBundle@1@@Z\\n\")\r\ndef_fp.write(\"\\t ??0?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEAA@XZ\\n\")\r\ndef_fp.write(\"\\t ??0?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEAA@V?$Span@$$CB_J@absl@@@Z\\n\")\r\n```\r\n\r\nThe build almost terminated correctly in this case, but eventually I ended up with these linking errors:\r\n```\r\n[10,494 / 10,810] 8 actions running\r\n Compiling tensorflow/core/kernels/mkl/mkl_quantize_op.cc; 29s local\r\n[10,494 / 10,810] 8 actions running\r\n Compiling tensorflow/core/kernels/mkl/mkl_quantize_op.cc; 30s local\r\n[10,496 / 10,810] 7 actions running\r\n[10,497 / 10,810] 8 actions, 7 running\r\n[10,498 / 10,812] 8 actions running\r\n[10,500 / 10,814] 8 actions running\r\n[10,500 / 10,814] 8 actions running\r\n[10,505 / 10,817] 8 actions running\r\n[10,506 / 10,817] 8 actions, 7 running\r\n[10,506 / 10,817] 8 actions running\r\n[10,508 / 10,819] 8 actions running\r\n[10,613 / 10,896] 8 actions running\r\n[10,656 / 10,923] 8 actions, 7 running\r\nERROR: D:/users/superkogito/downloads/tensorflow-2.9.0/tensorflow/BUILD:1048:20: Linking tensorflow/tensorflow_cc.dll failed: (Exit 1120): link.exe failed: error executing command\r\n cd /d D:/users/superkogito/_bazel_superkogito/6mghjs3w/execroot/org_tensorflow\r\n SET LIB=C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\lib\\x64;C:\\Program Files (x86)\\Windows Kits\\10\\lib\\10.0.22621.0\\ucrt\\x64;C:\\Program Files (x86)\\Windows Kits\\10\\\\lib\\10.0.22621.0\\\\um\\x64\r\n SET PATH=C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\bin\\HostX64\\x64;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\VC\\VCPackages;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\CommonExtensions\\Microsoft\\TestWindow;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\MSBuild\\Current\\bin\\Roslyn;C:\\Program Files (x86)\\Windows Kits\\10\\bin\\10.0.22621.0\\\\x64;C:\\Program Files (x86)\\Windows Kits\\10\\bin\\\\x64;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\\\MSBuild\\Current\\Bin\\amd64;C:\\Windows\\Microsoft.NET\\Framework64\\v4.0.30319;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\Tools\\;;C:\\windows\\system32;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\CommonExtensions\\Microsoft\\CMake\\CMake\\bin;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\CommonExtensions\\Microsoft\\CMake\\Ninja;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\VC\\Linux\\bin\\ConnectionManagerExe\r\n SET PWD=/proc/self/cwd\r\n SET PYTHON_BIN_PATH=C:/ProgramData/Anaconda3/python.exe\r\n SET PYTHON_LIB_PATH=C:/ProgramData/Anaconda3/lib/site-packages\r\n SET RUNFILES_MANIFEST_ONLY=1\r\n SET TEMP=D:\\Users\\superkogito\\AppData\\Local\\Temp\r\n SET TF2_BEHAVIOR=1\r\n SET TMP=D:\\Users\\superkogito\\AppData\\Local\\Temp\r\n C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\bin\\HostX64\\x64\\link.exe @bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc.dll-2.params\r\n# Configuration: e6cdbc5f9ea1d062c246ab7d360b46f14ec764581d9f093d895b4b2995265b6c\r\n# Execution platform: @local_execution_config_platform//:platform\r\nLINK : warning LNK4044: unrecognized option '/lm'; ignored\r\nbazel-out/x64_windows-opt/bin/tensorflow/tensorflow_filtered_def_file.def : warning LNK4197: export '?_GraphDef_default_instance_@tensorflow@@3VGraphDefDefaultTypeInternal@1@A' specified multiple times; using first specification\r\nbazel-out/x64_windows-opt/bin/tensorflow/tensorflow_filtered_def_file.def : warning LNK4197: export '?_TensorShapeProto_default_instance_@tensorflow@@3VTensorShapeProtoDefaultTypeInternal@1@A' specified multiple times; using first specification\r\n Creating library bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc.dll.if.lib and object bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc.dll.if.exp\r\nLINK : warning LNK4286: symbol 'TF_NewStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)'\r\nLINK : warning LNK4286: symbol 'TF_NewStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'stream_executor.lib(stream_executor.obj)'\r\nLINK : warning LNK4286: symbol 'TF_NewStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_NewStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'modular_filesystem.lib(modular_filesystem_registration.obj)' in function '\"class tensorflow::Status __cdecl tensorflow::RegisterFileSystem(struct TF_FilesystemPluginInfo const *,int)\" (?RegisterFileSystem@tensorflow@@YA?AVStatus@1@PEBUTF_FilesystemPluginInfo@@H@Z)'\r\nLINK : warning LNK4286: symbol 'TF_NewStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'modular_filesystem.lib(modular_filesystem.obj)'\r\nLINK : warning LNK4286: symbol 'TF_NewStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)'\r\nLINK : warning LNK4286: symbol 'TF_NewStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)'\r\nLINK : warning LNK4286: symbol 'TF_DeleteStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)'\r\nLINK : warning LNK4286: symbol 'TF_DeleteStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'stream_executor.lib(stream_executor.obj)'\r\nLINK : warning LNK4286: symbol 'TF_DeleteStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_DeleteStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'modular_filesystem.lib(modular_filesystem_registration.obj)' in function '\"class tensorflow::Status __cdecl tensorflow::RegisterFileSystem(struct TF_FilesystemPluginInfo const *,int)\" (?RegisterFileSystem@tensorflow@@YA?AVStatus@1@PEBUTF_FilesystemPluginInfo@@H@Z)'\r\nLINK : warning LNK4286: symbol 'TF_DeleteStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'modular_filesystem.lib(modular_filesystem.obj)'\r\nLINK : warning LNK4286: symbol 'TF_DeleteStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)'\r\nLINK : warning LNK4286: symbol 'TF_DeleteStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)'\r\nLINK : warning LNK4286: symbol 'TF_GetCode' defined in 'tf_status.lib(tf_status.obj)' is imported by 'stream_executor.lib(stream_executor.obj)'\r\nLINK : warning LNK4286: symbol 'TF_GetCode' defined in 'tf_status.lib(tf_status.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_GetCode' defined in 'tf_status.lib(tf_status.obj)' is imported by 'modular_filesystem.lib(modular_filesystem.obj)' in function '\"public: virtual class tensorflow::Status __cdecl tensorflow::ModularFileSystem::NewAppendableFile(class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > const &,struct tensorflow::TransactionToken *,class std::unique_ptr<class tensorflow::WritableFile,struct std::default_delete<class tensorflow::WritableFile> > *)\" (?NewAppendableFile@ModularFileSystem@tensorflow@@UEAA?AVStatus@2@AEBV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@PEAUTransactionToken@2@PEAV?$unique_ptr@VWritableFile@tensorflow@@U?$default_delete@VWritableFile@tensorflow@@@std@@@5@@Z)'\r\nLINK : warning LNK4286: symbol 'TF_GetCode' defined in 'tf_status.lib(tf_status.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)'\r\nLINK : warning LNK4286: symbol 'TF_GetCode' defined in 'tf_status.lib(tf_status.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)'\r\nLINK : warning LNK4286: symbol 'TF_GetCode' defined in 'tf_status.lib(tf_status.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'bfc_allocator.lib(bfc_allocator.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'allocator_registry_impl.lo.lib(cpu_allocator_impl.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'batch_kernels.lo.lib(batch_kernels.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'batch_resource_base.lib(batch_resource_base.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'snapshot_utils.lib(snapshot_utils.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'captured_function.lib(captured_function.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'xla_device_no_jit_rewrite_registration.lo.lib(xla_device.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'execute.lib(execute.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'remote_tensor_handle_data.lib(remote_tensor_handle_data.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'graph_mgr.lib(graph_mgr.obj)'\r\nLINK : warning LNK4217: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'cpu_runtime.lib(cpu_runtime.obj)' in function '\"public: static bool __cdecl tensorflow::profiler::TraceMeRecorder::Active(int)\" (?Active@TraceMeRecorder@profiler@tensorflow@@SA_NH@Z)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'grpc_master_service.lo.lib(grpc_master_service.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'eager_service_impl.lib(eager_service_impl.obj)'\r\nLINK : warning LNK4286: symbol '?g_trace_level@internal@profiler@tensorflow@@3U?$atomic@H@std@@A (struct std::atomic<int> tensorflow::profiler::internal::g_trace_level)' defined in 'traceme_recorder_impl.lo.lib(traceme_recorder.obj)' is imported by 'xla_ops_no_jit_rewrite_registration.lo.lib(xla_ops.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'utils.lib(utils.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'Utils.lib(utils.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'captured_function.lib(captured_function.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'arithmetic_optimizer.lib(arithmetic_optimizer.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'memory_optimizer.lib(memory_optimizer.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'pin_to_host_optimizer.lib(pin_to_host_optimizer.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'batch_kernels.lo.lib(batch_kernels.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'window_dataset.lib(window_dataset.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'ragged_tensor_variant.lib(ragged_tensor_variant.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'snapshot_utils.lib(snapshot_utils.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'tpu_rewrite_device_util.lib(tpu_rewrite_device_util.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_op_registry.lo.lib(xla_op_registry.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_helpers.lo.lib(xla_helpers.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'collective_param_resolver_distributed.lib(collective_param_resolver_distributed.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'device_util.lib(device_util.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_device_no_jit_rewrite_registration.lo.lib(xla_platform_info.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_device_no_jit_rewrite_registration.lo.lib(xla_ops_on_regular_devices.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_launch_util.lib(xla_launch_util.obj)'\r\nLINK : warning LNK4217: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_ops_no_jit_rewrite_registration.lo.lib(xla_ops.obj)' in function '\"void __cdecl tensorflow::`dynamic initializer for 'register_kernel_11''(void)\" (??__Eregister_kernel_11@tensorflow@@YAXXZ)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'compilation_passes.lib(mark_for_compilation_pass.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'compilation_passes.lib(encapsulate_xla_computations_pass.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_CPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_CPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'compilation_passes.lib(clone_constants_for_better_clustering.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'utils.lib(utils.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'arithmetic_optimizer.lib(arithmetic_optimizer.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'memory_optimizer.lib(memory_optimizer.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'pin_to_host_optimizer.lib(pin_to_host_optimizer.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'gpu_id_impl.lib(gpu_id_manager.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_helpers.lo.lib(xla_helpers.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_cluster_util.lib(xla_cluster_util.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'tf_ops_device_helper.lib(tf_ops_device_helper.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'batch_kernels.lo.lib(batch_kernels.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_device_no_jit_rewrite_registration.lo.lib(xla_ops_on_regular_devices.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_launch_util.lib(xla_launch_util.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'device_util.lib(device_util.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_op_registry.lo.lib(xla_op_registry.obj)'\r\nLINK : warning LNK4217: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_ops_no_jit_rewrite_registration.lo.lib(xla_ops.obj)' in function '\"void __cdecl tensorflow::`dynamic initializer for 'register_kernel_10''(void)\" (??__Eregister_kernel_10@tensorflow@@YAXXZ)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'compilation_passes.lib(encapsulate_xla_computations_pass.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'device_util.lib(device_util.obj)'\r\nLINK : warning LNK4286: symbol '?DEVICE_GPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_GPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_device_no_jit_rewrite_registration.lo.lib(xla_platform_info.obj)'\r\nLINK : warning LNK4217: symbol '?DEVICE_TPU@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_TPU)' defined in 'tensor.lo.lib(types.obj)' is imported by 'xla_helpers.lo.lib(xla_helpers.obj)' in function '\"class tensorflow::Status __cdecl tensorflow::ResolveDeviceAssignment(class tensorflow::OpKernelContext *,struct tensorflow::XlaCompilationResult::CollectiveInfo const &,class xla::ExecutableRunOptions &,class xla::DeviceAssignment &,class xla::gpu::GpuExecutableRunOptions &)\" (?ResolveDeviceAssignment@tensorflow@@YA?AVStatus@1@PEAVOpKernelContext@1@AEBUCollectiveInfo@XlaCompilationResult@1@AEAVExecutableRunOptions@xla@@AEAVDeviceAssignment@7@AEAVGpuExecutableRunOptions@gpu@7@@Z)'\r\nLINK : warning LNK4286: symbol 'TF_SetStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'tf_tensor.lib(tf_tensor.obj)'\r\nLINK : warning LNK4217: symbol 'TF_SetStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"void __cdecl histogram_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?histogram_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_SetStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"void __cdecl merge_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?merge_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_SetStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"void __cdecl scalar_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?scalar_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4286: symbol 'TF_SetStatus' defined in 'tf_status.lib(tf_status.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4286: symbol 'TF_Message' defined in 'tf_status.lib(tf_status.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_Message' defined in 'tf_status.lib(tf_status.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"public: __cdecl <lambda_81f216a906f53c734a3052b76c5b769d>::operator()(void)const \" (??R<lambda_81f216a906f53c734a3052b76c5b769d>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_Message' defined in 'tf_status.lib(tf_status.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"public: __cdecl <lambda_1689c97173d037187ab1e4ec97d7afb8>::operator()(void)const \" (??R<lambda_1689c97173d037187ab1e4ec97d7afb8>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_Message' defined in 'tf_status.lib(tf_status.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"public: __cdecl <lambda_39275ca6067190d68b302c65521acd24>::operator()(void)const \" (??R<lambda_39275ca6067190d68b302c65521acd24>@@QEBA@XZ)'\r\nLINK : warning LNK4286: symbol 'TF_Message' defined in 'tf_status.lib(tf_status.obj)' is imported by 'stream_executor.lib(stream_executor.obj)'\r\nLINK : warning LNK4217: symbol 'TF_NewOpDefinitionBuilder' defined in 'ops.lo.lib(ops.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"public: __cdecl <lambda_81f216a906f53c734a3052b76c5b769d>::operator()(void)const \" (??R<lambda_81f216a906f53c734a3052b76c5b769d>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_NewOpDefinitionBuilder' defined in 'ops.lo.lib(ops.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"public: __cdecl <lambda_1689c97173d037187ab1e4ec97d7afb8>::operator()(void)const \" (??R<lambda_1689c97173d037187ab1e4ec97d7afb8>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_NewOpDefinitionBuilder' defined in 'ops.lo.lib(ops.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"public: __cdecl <lambda_39275ca6067190d68b302c65521acd24>::operator()(void)const \" (??R<lambda_39275ca6067190d68b302c65521acd24>@@QEBA@XZ)'\r\nLINK : warning LNK4286: symbol 'TF_NewOpDefinitionBuilder' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_RegisterOpDefinition' defined in 'ops.lo.lib(ops.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"public: __cdecl <lambda_81f216a906f53c734a3052b76c5b769d>::operator()(void)const \" (??R<lambda_81f216a906f53c734a3052b76c5b769d>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_RegisterOpDefinition' defined in 'ops.lo.lib(ops.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"public: __cdecl <lambda_1689c97173d037187ab1e4ec97d7afb8>::operator()(void)const \" (??R<lambda_1689c97173d037187ab1e4ec97d7afb8>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_RegisterOpDefinition' defined in 'ops.lo.lib(ops.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"public: __cdecl <lambda_39275ca6067190d68b302c65521acd24>::operator()(void)const \" (??R<lambda_39275ca6067190d68b302c65521acd24>@@QEBA@XZ)'\r\nLINK : warning LNK4286: symbol 'TF_RegisterOpDefinition' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderAddAttr' defined in 'ops.lo.lib(ops.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"public: __cdecl <lambda_81f216a906f53c734a3052b76c5b769d>::operator()(void)const \" (??R<lambda_81f216a906f53c734a3052b76c5b769d>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderAddAttr' defined in 'ops.lo.lib(ops.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"public: __cdecl <lambda_1689c97173d037187ab1e4ec97d7afb8>::operator()(void)const \" (??R<lambda_1689c97173d037187ab1e4ec97d7afb8>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderAddAttr' defined in 'ops.lo.lib(ops.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"public: __cdecl <lambda_39275ca6067190d68b302c65521acd24>::operator()(void)const \" (??R<lambda_39275ca6067190d68b302c65521acd24>@@QEBA@XZ)'\r\nLINK : warning LNK4286: symbol 'TF_OpDefinitionBuilderAddAttr' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderAddInput' defined in 'ops.lo.lib(ops.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"public: __cdecl <lambda_81f216a906f53c734a3052b76c5b769d>::operator()(void)const \" (??R<lambda_81f216a906f53c734a3052b76c5b769d>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderAddInput' defined in 'ops.lo.lib(ops.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"public: __cdecl <lambda_1689c97173d037187ab1e4ec97d7afb8>::operator()(void)const \" (??R<lambda_1689c97173d037187ab1e4ec97d7afb8>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderAddInput' defined in 'ops.lo.lib(ops.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"public: __cdecl <lambda_39275ca6067190d68b302c65521acd24>::operator()(void)const \" (??R<lambda_39275ca6067190d68b302c65521acd24>@@QEBA@XZ)'\r\nLINK : warning LNK4286: symbol 'TF_OpDefinitionBuilderAddInput' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderAddOutput' defined in 'ops.lo.lib(ops.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"public: __cdecl <lambda_81f216a906f53c734a3052b76c5b769d>::operator()(void)const \" (??R<lambda_81f216a906f53c734a3052b76c5b769d>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderAddOutput' defined in 'ops.lo.lib(ops.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"public: __cdecl <lambda_1689c97173d037187ab1e4ec97d7afb8>::operator()(void)const \" (??R<lambda_1689c97173d037187ab1e4ec97d7afb8>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderAddOutput' defined in 'ops.lo.lib(ops.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"public: __cdecl <lambda_39275ca6067190d68b302c65521acd24>::operator()(void)const \" (??R<lambda_39275ca6067190d68b302c65521acd24>@@QEBA@XZ)'\r\nLINK : warning LNK4286: symbol 'TF_OpDefinitionBuilderAddOutput' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderSetShapeInferenceFunction' defined in 'ops.lo.lib(ops.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"public: __cdecl <lambda_81f216a906f53c734a3052b76c5b769d>::operator()(void)const \" (??R<lambda_81f216a906f53c734a3052b76c5b769d>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderSetShapeInferenceFunction' defined in 'ops.lo.lib(ops.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"public: __cdecl <lambda_1689c97173d037187ab1e4ec97d7afb8>::operator()(void)const \" (??R<lambda_1689c97173d037187ab1e4ec97d7afb8>@@QEBA@XZ)'\r\nLINK : warning LNK4217: symbol 'TF_OpDefinitionBuilderSetShapeInferenceFunction' defined in 'ops.lo.lib(ops.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"public: __cdecl <lambda_39275ca6067190d68b302c65521acd24>::operator()(void)const \" (??R<lambda_39275ca6067190d68b302c65521acd24>@@QEBA@XZ)'\r\nLINK : warning LNK4286: symbol 'TF_OpDefinitionBuilderSetShapeInferenceFunction' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextSetOutput' defined in 'ops.lo.lib(ops.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"void __cdecl histogram_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?histogram_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextSetOutput' defined in 'ops.lo.lib(ops.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"void __cdecl merge_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?merge_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextSetOutput' defined in 'ops.lo.lib(ops.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"void __cdecl scalar_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?scalar_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4286: symbol 'TF_ShapeInferenceContextSetOutput' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextScalar' defined in 'ops.lo.lib(ops.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"void __cdecl histogram_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?histogram_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextScalar' defined in 'ops.lo.lib(ops.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"void __cdecl merge_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?merge_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextScalar' defined in 'ops.lo.lib(ops.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"void __cdecl scalar_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?scalar_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_DeleteShapeHandle' defined in 'ops.lo.lib(ops.obj)' is imported by 'histogram_summary_op_lib.lo.lib(histogram_summary.obj)' in function '\"void __cdecl histogram_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?histogram_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_DeleteShapeHandle' defined in 'ops.lo.lib(ops.obj)' is imported by 'merge_summary_op_lib.lo.lib(merge_summary.obj)' in function '\"void __cdecl merge_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?merge_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_DeleteShapeHandle' defined in 'ops.lo.lib(ops.obj)' is imported by 'summary_op_lib.lo.lib(summary.obj)' in function '\"void __cdecl scalar_summary_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?scalar_summary_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4286: symbol 'TF_DeleteShapeHandle' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)'\r\nLINK : warning LNK4217: symbol '?DEVICE_DEFAULT@tensorflow@@3QEBDEB (char const * const tensorflow::DEVICE_DEFAULT)' defined in 'tensor.lo.lib(types.obj)' is imported by 'batch_kernels.lo.lib(batch_kernels.obj)' in function '\"void __cdecl tensorflow::`dynamic initializer for 'register_kernel_3''(void)\" (??__Eregister_kernel_3@tensorflow@@YAXXZ)'\r\nLINK : warning LNK4217: symbol 'TF_NumDims' defined in 'tf_tensor.lib(tf_tensor.obj)' is imported by 'tensor_shape_utils.lib(tensor_shape_utils.obj)' in function '\"class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > __cdecl tensorflow::ShapeDebugString(struct TF_Tensor *)\" (?ShapeDebugString@tensorflow@@YA?AV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@PEAUTF_Tensor@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_Dim' defined in 'tf_tensor.lib(tf_tensor.obj)' is imported by 'tensor_shape_utils.lib(tensor_shape_utils.obj)' in function '\"class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > __cdecl tensorflow::ShapeDebugString(struct TF_Tensor *)\" (?ShapeDebugString@tensorflow@@YA?AV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@PEAUTF_Tensor@@@Z)'LINK : warning LNK4217: symbol 'TF_DataTypeSize' defined in 'tf_datatype.lo.lib(tf_datatype.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4286: symbol 'TF_DataTypeSize' defined in 'tf_datatype.lo.lib(tf_datatype.obj)' is imported by 'tf_tensor.lib(tf_tensor.obj)'\r\nLINK : warning LNK4217: symbol 'TF_NewShapeHandle' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl bitcast_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?bitcast_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextGetInput' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl bitcast_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?bitcast_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextVectorFromSize' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_NewDimensionHandle' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContext_GetAttrType' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl bitcast_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?bitcast_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextRankKnown' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl bitcast_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?bitcast_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextWithRankAtLeast' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextDim' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextSubshape' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextSetUnknownShape' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl bitcast_shape_inference_fn(struct TF_ShapeInferenceContext *,struct TF_Status *)\" (?bitcast_shape_inference_fn@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_DimensionHandleValueKnown' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_DimensionHandleValue' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_ShapeInferenceContextConcatenateShapes' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\nLINK : warning LNK4217: symbol 'TF_DeleteDimensionHandle' defined in 'ops.lo.lib(ops.obj)' is imported by 'bitcast_op_lib.lo.lib(bitcast.obj)' in function '\"void __cdecl ComputeNewShape(struct TF_ShapeInferenceContext *,struct TF_ShapeHandle *,enum TF_DataType,enum TF_DataType,struct TF_Status *)\" (?ComputeNewShape@@YAXPEAUTF_ShapeInferenceContext@@PEAUTF_ShapeHandle@@W4TF_DataType@@2PEAUTF_Status@@@Z)'\r\ntensorflow_cc.dll.if.exp : error LNK2001: unresolved external symbol \"public: __cdecl tensorflow::TensorShapeBase<class tensorflow::TensorShape>::TensorShapeBase<class tensorflow::TensorShape>(class absl::Span<__int64 const >)\" (??0?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEAA@V?$Span@$$CB_J@absl@@@Z)\r\nbazel-out\\x64_windows-opt\\bin\\tensorflow\\tensorflow_cc.dll : fatal error LNK1120: 1 unresolved externals\r\nTarget //tensorflow:tensorflow_cc.dll failed to build\r\nINFO: Elapsed time: 33926.242s, Critical Path: 16255.84s\r\nINFO: 11145 processes: 2381 internal, 8764 local.\r\nFAILED: Build did NOT complete successfully\r\n```", "@mraunak , Could you please take a look into this. Thanks!", "Hi, @SuperKogito could you please try the latest version of TF? TF 2.9.0 is out of support.", "Hello @mraunak, \r\nthank you for responding. Testing with the TF 2.12.0 yields the following logs: \r\n```\r\n\r\nD:\\Users\\superkogito\\Downloads\\tensorflow-2.12.0\\tensorflow-2.12.0>bazel build --verbose_failures //tensorflow:tensorflow_cc.dll\r\nStarting local Bazel server and connecting to it...\r\nINFO: Options provided by the client:\r\n Inherited 'common' options: --isatty=1 --terminal_columns=162\r\nINFO: Reading rc options for 'build' from d:\\users\\superkogito\\downloads\\tensorflow-2.12.0\\tensorflow-2.12.0\\.bazelrc:\r\n Inherited 'common' options: --experimental_repo_remote_exec\r\nINFO: Options provided by the client:\r\n 'build' options: --python_path=C:/ProgramData/chocolatey/bin/python.exe\r\nINFO: Reading rc options for 'build' from d:\\users\\superkogito\\downloads\\tensorflow-2.12.0\\tensorflow-2.12.0\\.bazelrc:\r\n 'build' options: --define framework_shared_object=true --define tsl_protobuf_header_only=true --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone -c opt --announce_rc --define=grpc_no_ares=true --noincompatible_remove_legacy_whole_archive --enable_platform_specific_config --define=with_xla_support=true --config=short_logs --config=v2 --define=no_aws_support=true --define=no_hdfs_support=true --experimental_cc_shared_library --experimental_link_static_libraries_once=false --incompatible_enforce_config_setting_visibility\r\nINFO: Reading rc options for 'build' from d:\\users\\superkogito\\downloads\\tensorflow-2.12.0\\tensorflow-2.12.0\\.tf_configure.bazelrc:\r\n 'build' options: --action_env PYTHON_BIN_PATH=C:/ProgramData/Anaconda3/python.exe --action_env PYTHON_LIB_PATH=C:/ProgramData/Anaconda3/lib/site-packages --python_path=C:/ProgramData/Anaconda3/python.exe --copt=/d2ReducedOptimizeHugeFunctions --host_copt=/d2ReducedOptimizeHugeFunctions --define=override_eigen_strong_inline=true\r\nINFO: Reading rc options for 'build' from d:\\users\\superkogito\\downloads\\tensorflow-2.12.0\\tensorflow-2.12.0\\.bazelrc:\r\n 'build' options: --deleted_packages=tensorflow/compiler/mlir/tfrt,tensorflow/compiler/mlir/tfrt/benchmarks,tensorflow/compiler/mlir/tfrt/jit/python_binding,tensorflow/compiler/mlir/tfrt/jit/transforms,tensorflow/compiler/mlir/tfrt/python_tests,tensorflow/compiler/mlir/tfrt/tests,tensorflow/compiler/mlir/tfrt/tests/ir,tensorflow/compiler/mlir/tfrt/tests/analysis,tensorflow/compiler/mlir/tfrt/tests/jit,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_tfrt,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_jitrt,tensorflow/compiler/mlir/tfrt/tests/tf_to_corert,tensorflow/compiler/mlir/tfrt/tests/tf_to_tfrt_data,tensorflow/compiler/mlir/tfrt/tests/saved_model,tensorflow/compiler/mlir/tfrt/transforms/lhlo_gpu_to_tfrt_gpu,tensorflow/core/runtime_fallback,tensorflow/core/runtime_fallback/conversion,tensorflow/core/runtime_fallback/kernel,tensorflow/core/runtime_fallback/opdefs,tensorflow/core/runtime_fallback/runtime,tensorflow/core/runtime_fallback/util,tensorflow/core/tfrt/eager,tensorflow/core/tfrt/eager/backends/cpu,tensorflow/core/tfrt/eager/backends/gpu,tensorflow/core/tfrt/eager/core_runtime,tensorflow/core/tfrt/eager/cpp_tests/core_runtime,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/tests,tensorflow/core/tfrt/tpu,tensorflow/core/tfrt/utils\r\nINFO: Found applicable config definition build:short_logs in file d:\\users\\superkogito\\downloads\\tensorflow-2.12.0\\tensorflow-2.12.0\\.bazelrc: --output_filter=DONT_MATCH_ANYTHING\r\nINFO: Found applicable config definition build:v2 in file d:\\users\\superkogito\\downloads\\tensorflow-2.12.0\\tensorflow-2.12.0\\.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1\r\nINFO: Found applicable config definition build:windows in file d:\\users\\superkogito\\downloads\\tensorflow-2.12.0\\tensorflow-2.12.0\\.bazelrc: --copt=/W0 --host_copt=/W0 --copt=/Zc:__cplusplus --host_copt=/Zc:__cplusplus --copt=/D_USE_MATH_DEFINES --host_copt=/D_USE_MATH_DEFINES --features=compiler_param_file --copt=/d2ReducedOptimizeHugeFunctions --host_copt=/d2ReducedOptimizeHugeFunctions --cxxopt=/std:c++17 --host_cxxopt=/std:c++17 --config=monolithic --copt=-DWIN32_LEAN_AND_MEAN --host_copt=-DWIN32_LEAN_AND_MEAN --copt=-DNOGDI --host_copt=-DNOGDI --copt=/Zc:preprocessor --host_copt=/Zc:preprocessor --linkopt=/DEBUG --host_linkopt=/DEBUG --linkopt=/OPT:REF --host_linkopt=/OPT:REF --linkopt=/OPT:ICF --host_linkopt=/OPT:ICF --verbose_failures --features=compiler_param_file --distinct_host_configuration=false\r\nINFO: Found applicable config definition build:monolithic in file d:\\users\\superkogito\\downloads\\tensorflow-2.12.0\\tensorflow-2.12.0\\.bazelrc: --define framework_shared_object=false --define tsl_protobuf_header_only=false --experimental_link_static_libraries_once=false\r\nINFO: Analyzed target //tensorflow:tensorflow_cc.dll (426 packages loaded, 26557 targets configured).\r\nINFO: Found 1 target...\r\n[15,423 / 15,487] 8 actions running\r\n Compiling tensorflow/compiler/tf2xla/mlir_tf2xla.cc; 95s local\r\n Compiling tensorflow/compiler/mlir/python/mlir.cc; 74s local\r\n Compiling tensorflow/c/c_api_experimental.cc; 51s local\r\n Compiling tensorflow/dtensor/cc/dtensor_device.cc; 36s local\r\n Compiling tensorflow/dtensor/cc/default_parallel_executor.cc; 32s local\r\n Compiling tensorflow/dtensor/cc/dtensor_device_util.cc; 30s local\r\n Compiling tensorflow/dtensor/cc/small_constant_optimization.cc; 24s local\r\n Compiling tensorflow/c/experimental/grappler/grappler.cc; 17s local\r\n\r\n\r\n\r\n\r\nERROR: D:/users/superkogito/downloads/tensorflow-2.12.0/tensorflow-2.12.0/tensorflow/BUILD:1219:21: Linking tensorflow/tensorflow_cc.dll failed: (Exit 1120): link.exe failed: error executing command\r\n cd /d D:/users/superkogito/_bazel_superkogito/pgrhg4gw/execroot/org_tensorflow\r\n SET LIB=C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\lib\\x64;C:\\Program Files (x86)\\Windows Kits\\10\\lib\\10.0.22621.0\\ucrt\\x64;C:\\Program Files (x86)\\Windows Kits\\10\\\\lib\\10.0.22621.0\\\\um\\x64\r\n SET PATH=C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\bin\\HostX64\\x64;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\VC\\VCPackages;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\CommonExtensions\\Microsoft\\TestWindow;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\MSBuild\\Current\\bin\\Roslyn;C:\\Program Files (x86)\\Windows Kits\\10\\bin\\10.0.22621.0\\\\x64;C:\\Program Files (x86)\\Windows Kits\\10\\bin\\\\x64;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\\\MSBuild\\Current\\Bin\\amd64;C:\\Windows\\Microsoft.NET\\Framework64\\v4.0.30319;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\Tools\\;;C:\\windows\\system32;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\CommonExtensions\\Microsoft\\CMake\\CMake\\bin;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\CommonExtensions\\Microsoft\\CMake\\Ninja;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\VC\\Linux\\bin\\ConnectionManagerExe\r\n SET PWD=/proc/self/cwd\r\n SET PYTHON_BIN_PATH=C:/ProgramData/Anaconda3/python.exe\r\n SET PYTHON_LIB_PATH=C:/ProgramData/Anaconda3/lib/site-packages\r\n SET RUNFILES_MANIFEST_ONLY=1\r\n SET TEMP=D:\\Users\\superkogito\\AppData\\Local\\Temp\r\n SET TF2_BEHAVIOR=1\r\n SET TMP=D:\\Users\\superkogito\\AppData\\Local\\Temp\r\n C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\bin\\HostX64\\x64\\link.exe @bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc.dll-2.params\r\n# Configuration: a79860a0d1687bd8970a1182bada4b0594dbd5b735f159e1a6dbf0738820df8d\r\n# Execution platform: @local_execution_config_platform//:platform\r\nstdout (D:/users/superkogito/_bazel_superkogito/pgrhg4gw/execroot/org_tensorflow/bazel-out/_tmp/actions/stdout-23848) exceeds maximum size of --experimental_ui_max_stdouterr_bytes=1048576 bytes; skipping\r\nTarget //tensorflow:tensorflow_cc.dll failed to build\r\nINFO: Elapsed time: 26239.027s, Critical Path: 1212.69s\r\nINFO: 15504 processes: 3616 internal, 11888 local.\r\nFAILED: Build did NOT complete successfully\r\n```\r\nI will try with TF 2.13.0 tomorrow. ", "These are my error logs for the 2.13.0 version: \r\n```\r\nD:\\Users\\superkogito\\Downloads\\tensorflow-2.13.0\\tensorflow-2.13.0>bazel build --distdir ../deps --verbose_failures //tensorflow:tensorflow_cc.dll\r\nINFO: Options provided by the client:\r\n Inherited 'common' options: --isatty=1 --terminal_columns=162\r\nINFO: Reading rc options for 'build' from d:\\users\\superkogito\\downloads\\tensorflow-2.13.0\\tensorflow-2.13.0\\.bazelrc:\r\n Inherited 'common' options: --experimental_repo_remote_exec\r\nINFO: Options provided by the client:\r\n 'build' options: --python_path=C:/ProgramData/chocolatey/bin/python.exe\r\nINFO: Reading rc options for 'build' from d:\\users\\superkogito\\downloads\\tensorflow-2.13.0\\tensorflow-2.13.0\\.bazelrc:\r\n 'build' options: --define framework_shared_object=true --define tsl_protobuf_header_only=true --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone -c opt --announce_rc --define=grpc_no_ares=true --noincompatible_remove_legacy_whole_archive --enable_platform_specific_config --define=with_xla_support=true --config=short_logs --config=v2 --define=no_aws_support=true --define=no_hdfs_support=true --experimental_cc_shared_library --experimental_link_static_libraries_once=false --incompatible_enforce_config_setting_visibility\r\nINFO: Reading rc options for 'build' from d:\\users\\superkogito\\downloads\\tensorflow-2.13.0\\tensorflow-2.13.0\\.tf_configure.bazelrc:\r\n 'build' options: --action_env PYTHON_BIN_PATH=C:/ProgramData/Anaconda3/python.exe --action_env PYTHON_LIB_PATH=C:/ProgramData/Anaconda3/lib/site-packages --python_path=C:/ProgramData/Anaconda3/python.exe --copt=/d2ReducedOptimizeHugeFunctions --host_copt=/d2ReducedOptimizeHugeFunctions --define=override_eigen_strong_inline=true\r\nINFO: Reading rc options for 'build' from d:\\users\\superkogito\\downloads\\tensorflow-2.13.0\\tensorflow-2.13.0\\.bazelrc:\r\n 'build' options: --deleted_packages=tensorflow/compiler/mlir/tfrt,tensorflow/compiler/mlir/tfrt/benchmarks,tensorflow/compiler/mlir/tfrt/jit/python_binding,tensorflow/compiler/mlir/tfrt/jit/transforms,tensorflow/compiler/mlir/tfrt/python_tests,tensorflow/compiler/mlir/tfrt/tests,tensorflow/compiler/mlir/tfrt/tests/ir,tensorflow/compiler/mlir/tfrt/tests/analysis,tensorflow/compiler/mlir/tfrt/tests/jit,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_tfrt,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_jitrt,tensorflow/compiler/mlir/tfrt/tests/tf_to_corert,tensorflow/compiler/mlir/tfrt/tests/tf_to_tfrt_data,tensorflow/compiler/mlir/tfrt/tests/saved_model,tensorflow/compiler/mlir/tfrt/transforms/lhlo_gpu_to_tfrt_gpu,tensorflow/core/runtime_fallback,tensorflow/core/runtime_fallback/conversion,tensorflow/core/runtime_fallback/kernel,tensorflow/core/runtime_fallback/opdefs,tensorflow/core/runtime_fallback/runtime,tensorflow/core/runtime_fallback/util,tensorflow/core/tfrt/eager,tensorflow/core/tfrt/eager/backends/cpu,tensorflow/core/tfrt/eager/backends/gpu,tensorflow/core/tfrt/eager/core_runtime,tensorflow/core/tfrt/eager/cpp_tests/core_runtime,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/tests,tensorflow/core/tfrt/tpu,tensorflow/core/tfrt/utils,tensorflow/core/tfrt/utils/debug\r\nINFO: Found applicable config definition build:short_logs in file d:\\users\\superkogito\\downloads\\tensorflow-2.13.0\\tensorflow-2.13.0\\.bazelrc: --output_filter=DONT_MATCH_ANYTHING\r\nINFO: Found applicable config definition build:v2 in file d:\\users\\superkogito\\downloads\\tensorflow-2.13.0\\tensorflow-2.13.0\\.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1\r\nINFO: Found applicable config definition build:windows in file d:\\users\\superkogito\\downloads\\tensorflow-2.13.0\\tensorflow-2.13.0\\.bazelrc: --copt=/W0 --host_copt=/W0 --copt=/Zc:__cplusplus --host_copt=/Zc:__cplusplus --copt=/D_USE_MATH_DEFINES --host_copt=/D_USE_MATH_DEFINES --features=compiler_param_file --copt=/d2ReducedOptimizeHugeFunctions --host_copt=/d2ReducedOptimizeHugeFunctions --cxxopt=/std:c++17 --host_cxxopt=/std:c++17 --config=monolithic --copt=-DWIN32_LEAN_AND_MEAN --host_copt=-DWIN32_LEAN_AND_MEAN --copt=-DNOGDI --host_copt=-DNOGDI --copt=/Zc:preprocessor --host_copt=/Zc:preprocessor --linkopt=/DEBUG --host_linkopt=/DEBUG --linkopt=/OPT:REF --host_linkopt=/OPT:REF --linkopt=/OPT:ICF --host_linkopt=/OPT:ICF --verbose_failures --features=compiler_param_file\r\nINFO: Found applicable config definition build:monolithic in file d:\\users\\superkogito\\downloads\\tensorflow-2.13.0\\tensorflow-2.13.0\\.bazelrc: --define framework_shared_object=false --define tsl_protobuf_header_only=false --experimental_link_static_libraries_once=false\r\nINFO: Analyzed target //tensorflow:tensorflow_cc.dll (4 packages loaded, 1578 targets configured).\r\nINFO: Found 1 target...\r\nERROR: D:/users/superkogito/downloads/tensorflow-2.13.0/tensorflow-2.13.0/tensorflow/compiler/xla/stream_executor/tpu/BUILD:411:11: Compiling tensorflow/compiler/xla/stream_executor/tpu/tpu_initializer_helper.cc failed: (Exit 2): cl.exe failed: error executing command\r\n cd /d D:/users/superkogito/_bazel_superkogito/p5ozjjvs/execroot/org_tensorflow\r\n SET INCLUDE=C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\include;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\ATLMFC\\include;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Auxiliary\\VS\\include;C:\\Program Files (x86)\\Windows Kits\\10\\include\\10.0.22621.0\\ucrt;C:\\Program Files (x86)\\Windows Kits\\10\\\\include\\10.0.22621.0\\\\um;C:\\Program Files (x86)\\Windows Kits\\10\\\\include\\10.0.22621.0\\\\shared;C:\\Program Files (x86)\\Windows Kits\\10\\\\include\\10.0.22621.0\\\\winrt;C:\\Program Files (x86)\\Windows Kits\\10\\\\include\\10.0.22621.0\\\\cppwinrt\r\n SET PATH=C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\bin\\HostX64\\x64;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\VC\\VCPackages;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\CommonExtensions\\Microsoft\\TestWindow;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\MSBuild\\Current\\bin\\Roslyn;C:\\Program Files (x86)\\Windows Kits\\10\\bin\\10.0.22621.0\\\\x64;C:\\Program Files (x86)\\Windows Kits\\10\\bin\\\\x64;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\\\MSBuild\\Current\\Bin\\amd64;C:\\Windows\\Microsoft.NET\\Framework64\\v4.0.30319;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\Tools\\;;C:\\windows\\system32;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\CommonExtensions\\Microsoft\\CMake\\CMake\\bin;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\CommonExtensions\\Microsoft\\CMake\\Ninja;C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\Common7\\IDE\\VC\\Linux\\bin\\ConnectionManagerExe\r\n SET PWD=/proc/self/cwd\r\n SET PYTHON_BIN_PATH=C:/ProgramData/Anaconda3/python.exe\r\n SET PYTHON_LIB_PATH=C:/ProgramData/Anaconda3/lib/site-packages\r\n SET RUNFILES_MANIFEST_ONLY=1\r\n SET TEMP=D:\\Users\\superkogito\\AppData\\Local\\Temp\r\n SET TF2_BEHAVIOR=1\r\n SET TMP=D:\\Users\\superkogito\\AppData\\Local\\Temp\r\n C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.36.32532\\bin\\HostX64\\x64\\cl.exe @bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/stream_executor/tpu/_objs/tpu_initializer_helper/tpu_initializer_helper.obj.params\r\n# Configuration: 1a4ecd2543753db384ad1cfa25664150d07aba5da20fac955f60cd7a7229e057\r\n# Execution platform: @local_execution_config_platform//:platform\r\ntensorflow/compiler/xla/stream_executor/tpu/tpu_initializer_helper.cc(18): fatal error C1083: Cannot open include file: 'dirent.h': No such file or directory\r\nTarget //tensorflow:tensorflow_cc.dll failed to build\r\nINFO: Elapsed time: 11178.880s, Critical Path: 747.21s\r\nINFO: 11473 processes: 3291 internal, 8182 local.\r\nFAILED: Build did NOT complete successfully\r\n```", "Hi @SuperKogito, please try MSVC 2019" ]

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[ "Hi @drewshark ,\r\n\r\nThanks for reporting this.I have replicated the issue in both Tf2.12 and tf-nightly versions and attached [gist](https://colab.research.google.com/gist/SuryanarayanaY/3b9b6fd41484b540171c2f87f7d60d90/61158.ipynb) for reference.\r\n\r\nI quickly gone through the source code and It seems the API not validating the `clip_norm` argument. Needs to check more details for fixing it. If you have plan for submitting fix please feel to raise a PR. Thanks!\r\n\r\n", "@drewshark ,\r\nThe proposed PR has been merged and changes replicable in tf-nightly. Please verify and feel free to close the issue now.\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/61158\">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/61158\">No</a>\n" ]

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[ "@AviadCo Thank you for raising the PR to fix this issue. This issue will be closed once the PR is merged. \r\nThank you!", "@sushreebarsa thanks for responding.\r\nI am unable to put more reviewers to the PR, can it be only one reviewer for my MR? can you add relevant reviewers?", "Hello, @AviadCo ! Another reviewer is being assigned to that PR now. Thank you!" ]

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[ "Hi @YaoJiayi \r\n\r\nI was able to reproduce the issue. Seems like broadcasting to shape [2,1] does gives the intended result.\r\n\r\nPlease find the gist [here](https://colab.research.google.com/gist/pjpratik/1be8972c67d458ffa1d6eaa8943618b8/61150.ipynb).\r\n\r\n@pkgoogle Can you check this issue?\r\n\r\nThanks.", "I was able to reproduce with tf-nightly as well.\r\n\r\nHi @miaout17, this is similar to https://github.com/tensorflow/tensorflow/issues/60929, can you please take a look? Thanks!" ]

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[ "Hi @RaminNateghi ,\r\n\r\nThe reason for this behaviour is not all Ops supports Ragged Tensors. You can find the list of supported Ops [here](https://www.tensorflow.org/api_docs/python/tf/ragged). For `tf.image` module only the following Ops support Ragged Tensors.\r\n\r\n> [tf.image.adjust_brightness](https://www.tensorflow.org/api_docs/python/tf/image/adjust_brightness)(image, delta)\r\n> [tf.image.adjust_gamma](https://www.tensorflow.org/api_docs/python/tf/image/adjust_gamma)(image, gamma=1, gain=1)\r\n> [tf.image.convert_image_dtype](https://www.tensorflow.org/api_docs/python/tf/image/convert_image_dtype)(image, dtype, saturate=False, name=None)\r\n> [tf.image.random_brightness](https://www.tensorflow.org/api_docs/python/tf/image/random_brightness)(image, max_delta, seed=None)\r\n> [tf.image.resize](https://www.tensorflow.org/api_docs/python/tf/image/resize)(images, size, method='bilinear', preserve_aspect_ratio=False, antialias=False, name=None)\r\n> [tf.image.stateless_random_brightness](https://www.tensorflow.org/api_docs/python/tf/image/stateless_random_brightness)(image, max_delta, seed)\r\n\r\nHope this will resolve your query. 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.", "@SuryanarayanaY, thank you for your explanation.", "Hi @RaminNateghi ,\r\n\r\nCan we considered it as resolved now. Please feel free to close the issue if resolved for you.\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/61149\">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/61149\">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/61140/checks?check_run_id=14708113574) 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.", "Hi @inshalbaig123 Can you please sign CLA ?\r\n\r\nPlease don't use \"add file\"/\"update file\"/\"fix file\"/etc. commit messages. These are hard to reason about when looking at the history of the file/repository. Instead, please write explanatory git commit messages.\r\n\r\nThe commit message is also the title of the PR if the PR has only one commit. It is thus twice important to have commit messages that are relevant, as PRs would be easier to understand and easier to analyze in search results.\r\n\r\nFor how to write good quality git commit messages, please consult https://cbea.ms/git-commit/\r\n\r\nThank you for your 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/61139/checks?check_run_id=14708084921) 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.", "I have update this file you can check", "Hi @inshalbaig123 Can you please sign CLA ?\r\n\r\nPlease don't use \"add file\"/\"update file\"/\"fix file\"/etc. commit messages. These are hard to reason about when looking at the history of the file/repository. Instead, please write explanatory git commit messages.\r\n\r\nThe commit message is also the title of the PR if the PR has only one commit. It is thus twice important to have commit messages that are relevant, as PRs would be easier to understand and easier to analyze in search results.\r\n\r\nFor how to write good quality git commit messages, please consult https://cbea.ms/git-commit/\r\n\r\nThank you for your 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/61138/checks?check_run_id=14708058666) 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.", "I have update this file", "Hi @inshalbaig123 Can you please sign CLA ? \r\n\r\nPlease don't use \"add file\"/\"update file\"/\"fix file\"/etc. commit messages. These are hard to reason about when looking at the history of the file/repository. Instead, please write explanatory git commit messages.\r\n\r\nThe commit message is also the title of the PR if the PR has only one commit. It is thus twice important to have commit messages that are relevant, as PRs would be easier to understand and easier to analyze in search results.\r\n\r\nFor how to write good quality git commit messages, please consult https://cbea.ms/git-commit/\r\n\r\nThank you for your contribution." ]

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[ "Hi @FGMphys ,\r\n\r\nThanks for reaching us. I have tested the code and yes it seems bug present in TF2.10 and it got resolved in TF2.11 and later versions and attached [gist](https://colab.research.google.com/gist/SuryanarayanaY/6d55357a00c452054a54b2a975816967/61137.ipynb) for reference.. As the error resolved since last 3 versions it is unlikely to cherry pick to old versions.\r\n\r\nShall we mark it as closed as it resolved with latest versions. Thanks!", "Thanks for the response. ", "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/61137\">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/61137\">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/61136\">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/61136\">No</a>\n" ]

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[ "Fixed some missing `=` in `!=`", "I will be gone for a week (due to 4th of July) but will check again when I'm back (and probably earlier on the github side)", "I can't really do something about the failing linter check, the line for excluding protobuf versions is pre-existing, and probably needs to be that long anyway.\r\n\r\nI also cannot see what's failing with the Internal CI build. Other than that, everything looks green. 🥳 ", "This worked! 🎉 \r\n\r\nThank you very much for pushing this through!", "Thanks for merging! :)" ]

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[]

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[ "Hi @trickiwoo ,\r\n\r\nThanks for reporting. I have replicated the issue with Tf2.12 and tf-nightly as well and attached [gist](https://colab.research.google.com/gist/SuryanarayanaY/994d408ba5d5e3728644b2224a28a6c4/61132.ipynb) for reference.\r\n\r\nNeeds to dig more to check the reason for this behaviour. Thanks!" ]

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[ "To clarify, in this saving block:\r\n```\r\ntf.keras.utils.set_random_seed(42)\r\ntf.config.experimental.enable_op_determinism()\r\nmodel.seed = 42\r\n\r\n# Model is deterministic here\r\n\r\ntf.keras.models.save_model(model, save_path, save_format=\"tf\")\r\n```\r\n\r\nSo, before saving the model and after the seed update the model acting deterministically, but after the save (and upon reloading) the determinism is lost", "I have an update which might be a solution.\r\nIf I set: `self._seed = tf.Variable([42, 42], trainable=False)`\r\n\r\nThen tfp.distribution will sample reproducibly\r\n```\r\n# tf.random.set_seed(seed)\r\nsamples= dist.sample(num_samples, seed=seed) \r\n```\r\nNote: I don't use `tf.random.set_seed` instead passing the size 2 seed to `dist.sample` because of the underlying `tf.random.stateless_xxxx` function", "@Krasner Sorry for the late response!\r\nCould you please share the code in colab gist or notebook as it seems that some dependencies are missing[ here](https://colab.research.google.com/gist/sushreebarsa/c0f957a1b2d66fe6bdf54d08b197d321/61131.ipynb). Also please refer to this [link](https://www.tensorflow.org/api_docs/python/tf/keras/saving/save_model) to save the model and let us know if it helps?\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/61131\">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/61131\">No</a>\n" ]

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[ "> 1. how to shard data by files, how to use the later binding mechanism to shard data by files, which is critical for high performance training using tf.data.Dataset apis, all workers reading the total data is not scalable.\r\n\r\n> 3. how to ensure even the workers are with uneven amount of data, the training process with model.fit could end elegantly instead of having to using try catch or data.repeat, as recommendation models generally assume one epoch training.\r\n\r\n\r\n\r\nDue to the nature of the parameter server training environment (unsynchronized workers, higher preemption rate), iterating over the training data exactly once is hard to enforce. For this reason the [default recommendation](https://www.tensorflow.org/tutorials/distribute/parameter_server_training#input_data) is to shuffle data (approximately ensuring workers see different data) and repeat it infinitely, then train for a fixed number of steps. \r\n\r\nThere is a [new experimental API](https://www.tensorflow.org/api_docs/python/tf/distribute/coordinator/experimental_get_current_worker_index) to let workers see disjoint datasets, so there would be no data overlap between workers. This should provide the late binding you're looking for. (However if a worker fails and recovers it will still iterate over parts of its data shard more than once). \r\n\r\n> 2. how to control the placement of ops, in one attempt, we build dataset using tf.data.Dataset.from_tensor_slices and.\r\ndataset = dataset.interleave(lambda x: tf.data.TextLineDataset(x).skip(1), cycle_length=15, num_parallel_calls=15)\r\nwith parameter server strategy, the dataset related ops runs on workers, however, if I add one more op dataset.repeat(), the dataset ops all runs on chief, which is surprising.\r\n\r\nThis is surprising, are you able to provide the exact dataset building code that could help reproduce this? ", "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/61129\">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/61129\">No</a>\n" ]

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[ "Hi @soupslurpr \r\n\r\nCould you please try using the nightly snapshot and let us know if you are still facing the issue?\r\n\r\nThanks.", "Hello, thanks for responding. I just tried version 0.0.0-nightly-SNAPSHOT and the error still occurs.", "Hi @soupslurpr, There is a similar issue here: https://github.com/tensorflow/tensorflow/issues/61095, can you try 2.11 or 2.10 for now?", "Hello @pkgoogle, I just tried with both 2.11.0 and 2.10.0, and it didn't work, same error. Also tried with 2.0.0.", "Hi @soupslurpr, can you please let us know the minimum SDK (API Level) you are targeting? Also if you are comfortable exporting your Android project or a toy version which reproduces this issue that'll be extremely helpful! Including the .tflite model would be easiest, otherwise letting us know how you got it could also work.", "@pkgoogle The minimum SDK is 28 and target SDK is 33. Here is the project that reproduces this issue: https://github.com/soupslurpr/NNAPI-whisper-test", "Also, I got the .tflite from running this google colab: https://colab.research.google.com/github/usefulsensors/openai-whisper/blob/main/notebooks/generate_tflite_from_whisper.ipynb", "Hi @soupslurpr, I'm having issues opening the Android Studio project (hangs on loading), what platform are you using to open/edit your project? (MacOS, Windows, or *nix?), are there any dependencies you think I may need to install (Such as Java SDK version?)", "> Hi @soupslurpr, I'm having issues opening the Android Studio project (hangs on loading), what platform are you using to open/edit your project? (MacOS, Windows, or *nix?), are there any dependencies you think I may need to install (Such as Java SDK version?)\r\n\r\nI'm running Fedora, its using Java 17, that is probably why. I'm also using the latest alpha of Android Studio which also seems to be why it isn't working for you. You can try using the latest alpha of it, or use the below stable version. \r\n\r\nI made a version that is compatible with the latest stable version of Android Studio here: https://github.com/soupslurpr/nnapi-whisper-test-android-studio-stable", "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/61126\">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/61126\">No</a>\n", "Misclick, oops", "It seems this project requires a real device or a machine which supports VT-x or SVM.\r\n\r\nHi @sirakiin, can you please take a look? Thanks!", "@soupslurpr if you haven't figured it out yet, the tflite model file you use is the culprit and It's a [weights-only quantized one](https://www.tensorflow.org/lite/performance/post_training_quant), which doesn't work with NNAPI delegate. ", "> @soupslurpr if you haven't figured it out yet, the tflite model file you use is the culprit and It's a [weights-only quantized one](https://www.tensorflow.org/lite/performance/post_training_quant), which doesn't work with NNAPI delegate.\r\n\r\nAh, I see. Thanks for informing me of this. Do you know of a way to make it compatible?", "> @soupslurpr if you haven't figured it out yet, the tflite model file you use is the culprit and It's a [weights-only quantized one](https://www.tensorflow.org/lite/performance/post_training_quant), which doesn't work with NNAPI delegate.\r\n\r\ni have this problem with whisper-tiny.tflite model but i use many other models like this one:\r\nhttps://tfhub.dev/tulasiram58827/lite-model/hifi-gan/float16/1\r\nand still get this error without any success : \r\nCaused by: java.lang.IllegalArgumentException: Internal error: Error applying delegate: \r\n at org.tensorflow.lite.NativeInterpreterWrapper.createInterpreter(Native Method)\r\n \r\nand my code simply is:\r\nNnApiDelegate nnApiDelegate = new NnApiDelegate();\r\nInterpreter.Options options = (new Interpreter.Options()).addDelegate(nnApiDelegate);\r\nInterpreter mInterpreter = new Interpreter(tfliteModel,options); <-- where Error shows up ", "I meant to comment on this previously, but forgot. I've also been working with a TFLite model of Whisper and there are problems beyond quantization. If using the one from https://github.com/nyadla-sys/whisper.tflite, many of the ops simply aren't supported for the GPU delegate.\r\n\r\nSome of these are the control flow ops in the decoding process (such as `If` and `While`). None of these types of control flow ops are supported by the GPU delegate (or the NNAPI version either probably). Additionally, there are computation ops that aren't supported either by the delegate (I forget it at the moment, but I believe it is something like `NDScatterAndUpdate` that causes problems).\r\n\r\nRegardless, without modifying the graph definition to only supported ops, how it was quantized won't matter.", "@mitchelldehaven how would you go about creating a tiny model that supports GPU or NNAPI?", "> @mitchelldehaven how would you go about creating a tiny model that supports GPU or NNAPI?\r\n\r\nYou would need to do a couple things:\r\n\r\n- First, you would need to separate the encoder and decoder and re-implement the control flow in whatever language you are using (presumably Java if you are using NNAPI). \r\n- Second, the particular op `NDScatterAndUpdate` is not supported. You would need to re-implement this functionality with supported ops (presumably possible, I'm not sure exactly how)." ]

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[ "This PR depends on and includes changes from this PR by @cfRod:\r\nhttps://github.com/tensorflow/tensorflow/pull/61093\r\nIt also depends on and includes this PR merging in a patch by @kawakami-k:\r\nhttps://github.com/tensorflow/tensorflow/pull/61114", "@penpornk @nSircombe @cfRod ", "> Is this PR a superset of #61114? It has two patch files that #61114 has.\r\n> \r\n> cc: @cantonios\r\n\r\nHi @penpornk . Yes it is, #61114 can be closed if this is merged in first.", "Hi @penpornk, thank you for the merge!\r\nMy apologies but this PR has caused some build issues downstream when building unit tests, we're seeing some linking issues during the build. Could I please get the merge of this PR reverted so that our build goes green again until we get a fix up for this next week?\r\nThank you.\r\n@elfringham", "@davsva01 Got it. Working on the revert." ]

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[ "@fcoUnda ", "Hi @fcoUnda Can you please review this PR ? Thank you!", "This has been superseded by https://github.com/tensorflow/tensorflow/pull/61221\r\n\r\nClosing" ]

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[ "It seems to work again with the latest nightly.", "Hi, Thanks for confirming that it works with Nightly version, feel free to close the issue if it is resolved.\r\n\r\nFor the latest Nightly and Stable Tensorflow docker versions, please refer the page here https://hub.docker.com/r/tensorflow/tensorflow/tags", "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/61121\">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/61121\">No</a>\n" ]

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[ "@burmako It seems we have a duplicate UnfuseBatchNorm pass. Do you think that one of them can be removed? And which one is better to keep?", "Hi @burmako Can you please review this PR ? Thank you!", "Hi @qingyunqu Can you please resolve conflicts? Thank you!", "> Hi @qingyunqu Can you please resolve conflicts? Thank you!\r\n\r\nok, I will resolve later.", "Hi @GleasonK Can you please review this PR ? Thank you!", "Hi @qingyunqu Can you please check @GleasonK's comments and keep us posted? Thank you!", "Hi @qingyunqu 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 @GleasonK Can you please review this PR ? Thank you!", "Hi @qingyunqu Can you please resolve conflicts? Thank you!", "Hi @qingyunqu Can you please resolve conflicts? Thank you!", "Hi @qingyunqu Can you please resolve conflicts? Thank you!", "Hi @qingyunqu Can you please resolve conflicts? Thank you!", "Hi @qingyunqu Can you please resolve conflicts? Thank you!", "Hi @qingyunqu Can you please resolve conflicts? Thank you!" ]

[]

[]

[]

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[ "Hi @ph1oneX ,\r\n\r\nBasically TF lite is designed for edge devices for below reasons.\r\n\r\nOptimized for on-device machine learning, by addressing 5 key constraints: latency (there's no round-trip to a server), privacy (no personal data leaves the device), connectivity (internet connectivity is not required), size (reduced model and binary size) and power consumption (efficient inference and a lack of network connections).\r\n\r\nTFlite libraries can also built for Arm based computers like Mac M1/M2.Please refer attached [source](https://www.tensorflow.org/lite/guide/build_arm).", "@SuryanarayanaY the source you attached will it work for python as it shows for C.\nAlso for Apple silicon which is the architecture target since its not mentioned. The only mentioned is for Linux or Raspberry Pi on ARM. However thank you for help", "@pjpratik , please have a look into the issue, Thanks", "Hi @ph1oneX \r\n\r\nAs @SuryanarayanaY mentioned, the TFLite is a mobile library designed for deploying models on mobile, microcontrollers and other edge devices.\r\n\r\nHowever the TFLite models can be still integrated using multiple programming languages as given [here](https://www.tensorflow.org/lite/guide/inference#supported_platforms)\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." ]

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[ "@SuryanarayanaY I was able to replicate the issue in TF v[2.12](https://colab.research.google.com/gist/sushreebarsa/aa434c17414f0a57f5a8495245b7e26d/61117.ipynb), v[2.13](https://colab.research.google.com/gist/sushreebarsa/2520aca5bc8afa21acbdc8e43deb3e88/61117.ipynb#scrollTo=x_SdosaHmLAm) and [tf-nightly](https://colab.research.google.com/gist/sushreebarsa/375153ae4d26a1b8a9a40e794fa34fca/untitled803.ipynb#scrollTo=545PV9JXmFNe) . Please find the attached gists here. \r\nThank you!" ]

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[ "@rishikasinha-tf flaky test", "AARCH64 log\r\nhttps://github.com/tensorflow/tensorflow/actions/runs/5378348054/jobs/9758026382#step:5:8430", "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/61116\">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/61116\">No</a>\n" ]

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[ "@rishikasinha-tf flaky test" ]

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[ "This PR depends on and includes changes from this PR by @cfRod:\r\nhttps://github.com/tensorflow/tensorflow/pull/61093\r\n", "@penpornk @nSircombe ", "> Thank you for the PR!\r\n> \r\n> We plan to update x86 oneDNN to v3.2 in a few weeks (before TF 2.14 branch cut). Would aarch64 build like to update to v3.2 as well? If so, these patches can be removed once we use v3.2, right?\r\n> \r\n> cc: @cantonios\r\n\r\nHi @penpornk, no thanks we tentatively plan to move to oneDNN v3.2 early in the 2.15 release cycle. This is to ensure we leave time to address regressions and anything else that might come up. But yes these patches can be removed as soon as we update to oneDNN v3.2." ]

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[ "@rishikasinha-tf flaky test" ]

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[ "@rishikasinha-tf flaky test" ]

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[ "@rishikasinha-tf flaky test" ]

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[ "@penpornk @nSircombe @milpuz01 ", "Hi @cfRod Can you please resolve conflicts? Thank you!", "@gbaned , I have rebase the PR now on top of the new commits in PR 60026. The conflicts were from PR https://github.com/tensorflow/tensorflow/pull/60026/commits which have been fixed there. ", "Thanks all for the last minute fight to get this in :) ", "@cfRod Thank you and @milpuz01 for your help too! :)" ]

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[ "@rishikasinha-tf flaky test" ]

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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/61108/checks?check_run_id=14623036297) 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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[ "@rishikasinha-tf flaky test", "Thanks. This is a known issue due to portpicker cannot always guarantee getting a fresh, unused port for the tests. We don't really have a good strategy to deal with this problem at the moment, other than retrying the test. Any suggestions and/or contribution is highly welcomed.", "@rainwoodman If there was a way that the build/test process could start a singleton process with portpicker as a server that should resolve the problems with it not being thread safe but I am not a bazel expert and do not know if or how that could be achieved. Each usage of portpicker in a test would then call out to the singleton process with the server and hopefully get a unique port allocation.\r\nAlternatively or additionally making the code that establishes a network connection to be more robust so that it can detect and retry when it fails due to a port conflict." ]

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[ "Hi @rishabh316 ,\r\n\r\nIt might be possible that any of the Op may not have gradient implementation and you are trying to calculate the gradient for it. Please cross check it once. I am attaching the lost of [raw_ops](https://www.tensorflow.org/api_docs/python/tf/raw_ops) in tensorflow with the status of gradient. Please cross check whether any of your Op falling under the category of No Gradient implementation.\r\n\r\nAlso [tf.gradients](https://www.tensorflow.org/api_docs/python/tf/gradients) valid only in graph context. I recommend to use [tf.GradientTape ](https://www.tensorflow.org/api_docs/python/tf/GradientTape) instead which is best suitable for Tf2.x versions.\r\n\r\nThanks!", "> Hi @rishabh316 ,\r\n> \r\n> It might be possible that any of the Op may not have gradient implementation and you are trying to calculate the gradient for it. Please cross check it once. I am attaching the lost of [raw_ops](https://www.tensorflow.org/api_docs/python/tf/raw_ops) in tensorflow with the status of gradient. Please cross check whether any of your Op falling under the category of No Gradient implementation.\r\n> \r\n> Also [tf.gradients](https://www.tensorflow.org/api_docs/python/tf/gradients) valid only in graph context. I recommend to use [tf.GradientTape ](https://www.tensorflow.org/api_docs/python/tf/GradientTape) instead which is best suitable for Tf2.x versions.\r\n> \r\n> Thanks!\r\n\r\nThanks for your response and suggestions sir.\r\nIs there any way i can apply this CRFLayer by doing some modifications to the model.", "My issue got solved as i defined my custom gradient for that layer whose op type does not have pre-defined gradient given by tensorflow. Thanks for your suggestion.", "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/61106\">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/61106\">No</a>\n" ]

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[ "@rishikasinha-tf flaky test" ]

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[ "@rishikasinha-tf flaky test" ]

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[ "Hi @LobnaMazhar \r\n\r\nThis seems to be an error caused by Jax library.\r\n\r\nHave you configured https://www.tensorflow.org/lite/android/lite_build#configure_workspace_and_bazelrc and set the options accordingly?\r\n\r\nAlso, can you please provide toy tflite model inorder to reproduce the issue?\r\n\r\nThanks.", "Hi @pjpratik \r\n\r\nYes, I followed the configurations and I made sure it was successful by printing the content of the `.tf_configure.bazelrc` file as follows\r\n\r\n> > more .tf_configure.bazelrc\r\nbuild --action_env PYTHON_BIN_PATH=\"/usr/bin/python3\"\r\nbuild --action_env PYTHON_LIB_PATH=\"/usr/lib/python3/dist-packages\"\r\nbuild --python_path=\"/usr/bin/python3\"\r\nbuild:opt --copt=-Wno-sign-compare\r\nbuild:opt --host_copt=-Wno-sign-compare\r\nbuild --action_env ANDROID_NDK_HOME=\"/android/ndk\"\r\nbuild --action_env ANDROID_NDK_API_LEVEL=\"21\"\r\nbuild --action_env ANDROID_BUILD_TOOLS_VERSION=\"34.0.0\"\r\nbuild --action_env ANDROID_SDK_API_LEVEL=\"33\"\r\nbuild --action_env ANDROID_SDK_HOME=\"/android/sdk\"\r\ntest --flaky_test_attempts=3\r\ntest --test_size_filters=small,medium\r\ntest:v1 --test_tag_filters=-benchmark-test,-no_oss,-oss_excluded,-gpu,-oss_serial\r\ntest:v1 --build_tag_filters=-benchmark-test,-no_oss,-oss_excluded,-gpu\r\ntest:v2 --test_tag_filters=-benchmark-test,-no_oss,-oss_excluded,-gpu,-oss_serial,-v1only\r\ntest:v2 --build_tag_filters=-benchmark-test,-no_oss,-oss_excluded,-gpu,-v1only\r\n\r\nAre there any extra steps that I should do to install the Jax library in separate?\r\n\r\nRegarding the used tflite model, unfortunately I won't be able to share it because it is confidential to my job.", "I tried another converted version of the model, and I ended up with a different error.\r\n\r\n> + bazel build -c opt --cxxopt=--std=c++17 --fat_apk_cpu=x86,x86_64,arm64-v8a,armeabi-v7a --define=android_dexmerger_tool=d8_dexmerger --define=android_incremental_dexing_tool=d8_dexbuilder --define=xnn_enable_arm_fp16=false --host_crosstool_top=@bazel_tools//tools/cpp:toolchain //tmp:tensorflow-lite\r\n> INFO: Options provided by the client:\r\n> Inherited 'common' options: --isatty=1 --terminal_columns=179\r\n> INFO: Reading rc options for 'build' from /tensorflow_src/.bazelrc:\r\n> Inherited 'common' options: --experimental_repo_remote_exec\r\n> INFO: Reading rc options for 'build' from /etc/bazel.bazelrc:\r\n> 'build' options: --action_env=DOCKER_CACHEBUSTER=1687840109499695775 --host_action_env=DOCKER_HOST_CACHEBUSTER=1687840109559438170\r\n> INFO: Reading rc options for 'build' from /tensorflow_src/.bazelrc:\r\n> 'build' options: --define framework_shared_object=true --define tsl_protobuf_header_only=true --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone -c opt --announce_rc --define=grpc_no_ares=true --noincompatible_remove_legacy_whole_archive --enable_platform_specific_config --define=with_xla_support=true --config=short_logs --config=v2 --define=no_aws_support=true --define=no_hdfs_support=true --experimental_cc_shared_library --experimental_link_static_libraries_once=false --incompatible_enforce_config_setting_visibility\r\n> INFO: Reading rc options for 'build' from /tensorflow_src/.tf_configure.bazelrc:\r\n> 'build' options: --action_env PYTHON_BIN_PATH=/usr/bin/python3 --action_env PYTHON_LIB_PATH=/usr/lib/python3/dist-packages --python_path=/usr/bin/python3 --action_env ANDROID_NDK_HOME=/android/ndk --action_env ANDROID_NDK_API_LEVEL=21 --action_env ANDROID_BUILD_TOOLS_VERSION=34.0.0 --action_env ANDROID_SDK_API_LEVEL=33 --action_env ANDROID_SDK_HOME=/android/sdk\r\n> INFO: Reading rc options for 'build' from /tensorflow_src/.bazelrc:\r\n> 'build' options: --deleted_packages=tensorflow/compiler/mlir/tfrt,tensorflow/compiler/mlir/tfrt/benchmarks,tensorflow/compiler/mlir/tfrt/jit/python_binding,tensorflow/compiler/mlir/tfrt/jit/transforms,tensorflow/compiler/mlir/tfrt/python_tests,tensorflow/compiler/mlir/tfrt/tests,tensorflow/compiler/mlir/tfrt/tests/ir,tensorflow/compiler/mlir/tfrt/tests/analysis,tensorflow/compiler/mlir/tfrt/tests/jit,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_tfrt,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_jitrt,tensorflow/compiler/mlir/tfrt/tests/tf_to_corert,tensorflow/compiler/mlir/tfrt/tests/tf_to_tfrt_data,tensorflow/compiler/mlir/tfrt/tests/saved_model,tensorflow/compiler/mlir/tfrt/transforms/lhlo_gpu_to_tfrt_gpu,tensorflow/core/runtime_fallback,tensorflow/core/runtime_fallback/conversion,tensorflow/core/runtime_fallback/kernel,tensorflow/core/runtime_fallback/opdefs,tensorflow/core/runtime_fallback/runtime,tensorflow/core/runtime_fallback/util,tensorflow/core/tfrt/eager,tensorflow/core/tfrt/eager/backends/cpu,tensorflow/core/tfrt/eager/backends/gpu,tensorflow/core/tfrt/eager/core_runtime,tensorflow/core/tfrt/eager/cpp_tests/core_runtime,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/tests,tensorflow/core/tfrt/tpu,tensorflow/core/tfrt/utils,tensorflow/core/tfrt/utils/debug\r\n> INFO: Found applicable config definition build:short_logs in file /tensorflow_src/.bazelrc: --output_filter=DONT_MATCH_ANYTHING\r\n> INFO: Found applicable config definition build:v2 in file /tensorflow_src/.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1\r\n> INFO: Found applicable config definition build:linux in file /tensorflow_src/.bazelrc: --define=build_with_onednn_v2=true --host_copt=-w --copt=-Wno-all --copt=-Wno-extra --copt=-Wno-deprecated --copt=-Wno-deprecated-declarations --copt=-Wno-ignored-attributes --copt=-Wno-array-bounds --copt=-Wunused-result --copt=-Werror=unused-result --copt=-Wswitch --copt=-Werror=switch --copt=-Wno-error=unused-but-set-variable --define=PREFIX=/usr --define=LIBDIR=$(PREFIX)/lib --define=INCLUDEDIR=$(PREFIX)/include --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include --cxxopt=-std=c++17 --host_cxxopt=-std=c++17 --config=dynamic_kernels --experimental_guard_against_concurrent_changes\r\n> INFO: Found applicable config definition build:dynamic_kernels in file /tensorflow_src/.bazelrc: --define=dynamic_loaded_kernels=true --copt=-DAUTOLOAD_DYNAMIC_KERNELS\r\n> INFO: Analyzed target //tmp:tensorflow-lite (1 packages loaded, 527 targets configured).\r\n> INFO: Found 1 target...\r\n> **ERROR: /tensorflow_src/tmp/BUILD:4:30: gen_selected_ops failed: (Segmentation fault): generate_op_registrations failed: error executing command bazel-out/k8-opt-exec-50AE0418/bin/tensorflow/lite/tools/generate_op_registrations '--namespace=' ... (remaining 3 arguments skipped)\r\n> Target //tmp:tensorflow-lite failed to build\r\n> Use --verbose_failures to see the command lines of failed build steps.\r\n> INFO: Elapsed time: 1.788s, Critical Path: 0.90s\r\n> INFO: 2 processes: 2 internal.\r\n> FAILED: Build did NOT complete successfully**\r\n> \r\n\r\n**Question** Should I specify the used tf-ops while running the command as follows?\r\n```\r\nsh tensorflow/lite/tools/build_aar.sh \\\r\n --input_models=/a/b/model_one.tflite,/c/d/model_two.tflite \\\r\n --target_archs=x86,x86_64,arm64-v8a,armeabi-v7a \\\r\n --tflite_custom_ops_srcs=/e/f/file1.cc,/g/h/file2.h \\\r\n --tflite_custom_ops_deps=dep1,dep2\r\n```\r\nAs I'm using the simpler command\r\n```\r\nbash tensorflow/lite/tools/build_aar.sh \\\r\n --input_models=model1,model2 \\\r\n --target_archs=x86,x86_64,arm64-v8a,armeabi-v7a`\r\n```\r\nas specified [here](https://www.tensorflow.org/lite/android/lite_build#configure_workspace_and_bazelrc)", "Hi @LobnaMazhar, the simpler command should suffice as the script should look into the input models for the ops being used. Are you using custom ops? your other command seems to suggest so, perhaps can you or your team produce a simpler toy model with just the custom ops so that we can reproduce without violating confidentiality? Also this will help us identify if those are the cause of the issue.", "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/61101\">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/61101\">No</a>\n" ]

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[ "Apologies, it seems I wasn't passing options when creating the Interpreter. Now it is crashing with \r\n java.lang.RuntimeException: java.lang.IllegalArgumentException: Internal error: Error applying delegate: \r\n \r\nI'll make a new issue for that.", "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/61100\">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/61100\">No</a>\n" ]

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[ "Okay, I've made the requested changes in the latest commit.\r\n\r\nhttps://github.com/tensorflow/tensorflow/pull/61099/commits/be9472436a4ba050382816b6420297773c70f8ed" ]

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[ "@p3achyjr,\r\nCould you please provide more context/information or the complete standalone code to reproduce the issue which helps to analyse the issue in an effective way. Thank you!", "```\r\n// p1.cc\r\n#include \"tensorflow/core/lib/io/record_writer.h\"\r\n#include \"tensorflow/core/example/example.pb.h\"\r\n\r\nint main(int argc, char** argv) {\r\n std::unique_ptr<tensorflow::WritableFile> file;\r\n TF_CHECK_OK(tensorflow::Env::Default()->NewWritableFile(\"/tmp/file.tfrecord\", &file));\r\n\r\n RecordWriter writer(file.get());\r\n for (int i = 0; i < 1000000; ++i) {\r\n tensorflow::Example example;\r\n auto& features = *example.mutable_features()->mutable_feature();\r\n features[\"key\"].mutable_int64_list()->add_value(i);\r\n \r\n std::string data;\r\n example.SerializeToString(&data);\r\n TF_CHECK_OK(writer.WriteRecord(data));\r\n }\r\n TF_CHECK_OK(writer.Close());\r\n TF_CHECK_OK(file->Close());\r\n\r\n return 0;\r\n}\r\n```\r\n\r\n```\r\n// p2.cc\r\n#include \"tensorflow/core/lib/io/record_reader.h\"\r\n\r\nint main(int argc, char** argv) {\r\n std::unique_ptr<tensorflow::RandomAccessFile> file;\r\n TF_CHECK_OK(tensorflow::Env::Default()->NewRandomAccessFile(\"/tmp/file.tfrecord\", &file));\r\n\r\n SequentialRecordReader reader(file.get());\r\n for (int i = 0; i < 1000000; ++i) {\r\n tstring record;\r\n reader.ReadRecord(&record);\r\n // Not sure how to parse in C++, but this loop should be able to complete.\r\n }\r\n\r\n return 0;\r\n}\r\n```\r\n\r\n```\r\n// BUILD\r\ncc_binary(\r\n name = \"p1\"\r\n srcs = [\"p1.cc\"]\r\n deps = [<path_to_tensorflow_shlib>]\r\n # deps = [\"@org_tensorflow//tensorflow:libtensorflow_cc\"]\r\n)\r\n\r\ncc_binary(\r\n name = \"p2\"\r\n srcs = [\"p2.cc\"]\r\n deps = [<path_to_tensorflow_shlib>]\r\n # deps = [\"@org_tensorflow//tensorflow:libtensorflow_cc\"]\r\n)\r\n```\r\n\r\n```\r\n// run.sh\r\nbazel build //:p1\r\nbazel build //:p2\r\n./bazel-bin/p1\r\n./bazel-bin/p2\r\n```\r\n\r\n let me know if you need anything else :)\r\n", "Fwiw I'm still not sure whether tensorflow protects concurrent read/writes within its API, but concurrent read/writes in general are not synchronized :)" ]

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[ "Hi @kbhargavi33 \r\n\r\nTF Nightly is not a stable version. Can you please check in latest stable version 2.12 and let us know if you are still facing the issue?\r\n\r\nThanks.\r\n\r\n", "@pjpratik I am able to replicate this with latest version as well.\r\norg.tensorflow:tensorflow-lite:2.12.0", "This is also happening with the code from docs https://www.tensorflow.org/lite/android/delegates/nnapi\r\nAble to replicate in android 5,6,7 bunch of devices\r\n\r\n\r\n```\r\nInterpreter.Options options = (new Interpreter.Options());\r\nNnApiDelegate nnApiDelegate = null;\r\n// Initialize interpreter with NNAPI delegate for Android Pie or above\r\nif(Build.VERSION.SDK_INT >= Build.VERSION_CODES.P) {\r\n nnApiDelegate = new NnApiDelegate();\r\n options.addDelegate(nnApiDelegate);\r\n}\r\n```\r\n\r\nI think this is an issue with interpreter rather nnapi\r\n", "Hi @kbhargavi33, I was able to run the code from the docs that you posted above fine. I do have this in my gradle instead though:\r\n\r\n```kotlin\r\ndependencies {\r\n\r\n ...\r\n implementation 'org.tensorflow:tensorflow-lite:2.0.0'\r\n ...\r\n}\r\n```\r\n\r\nCan you try with that in a fresh project, then sync, and let me know if that works at all for you as well?", "Hi @pkgoogle It is working with 2.0.0 and 2.10.0 as well.\r\n\r\n```groovy\r\n implementation 'org.tensorflow:tensorflow-lite:2.10.0'\r\n implementation 'org.tensorflow:tensorflow-lite-gpu:2.10.0'\r\n implementation 'org.tensorflow:tensorflow-lite-support:0.4.3'\r\n implementation 'org.tensorflow:tensorflow-lite-metadata:0.4.3'\r\n``` \r\n\r\nBut still not working with 0.0.0-nightly-SNAPSHOT and 2.1.12", "Hi @kbhargavi33, stability of the nightly snapshot is not necessarily guaranteed and it seems like a later version (with more bug fixes) is working for you. Is there any reason you can't use the later version for now?", "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/61095\">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/61095\">No</a>\n", "I am still getting this issue with the latest release 2.14.0 for Android API levels 21-25 included. Can you please investigate this?\r\n\r\nDependencies:\r\n\r\n```\r\n implementation \"org.tensorflow:tensorflow-lite:2.14.0\"\r\n implementation \"org.tensorflow:tensorflow-lite-support:0.4.3\"\r\n```\r\n\r\nThe error:\r\n\r\n```\r\njava.lang.UnsatisfiedLinkError: Failed to load native TensorFlow Lite methods. Check that the correct native libraries are present, and, if using a custom native library, have been properly loaded via System.loadLibrary():\r\njava.lang.UnsatisfiedLinkError: dlopen failed: cannot locate symbol \"strtod_l\" referenced by \"/data/app/com.onfido.android.sdk.capture.test-1/lib/arm64/libtensorflowlite_jni.so\"...\r\nat org.tensorflow.lite.TensorFlowLite.init(TensorFlowLite.java:137)\r\n```", "Hi @nijat-ahmadli,\r\n\r\nAre you trying to use the NNAPI delegate? It is only supported from Android API level 27+: https://www.tensorflow.org/lite/android/delegates/nnapi#trying_the_nnapi_delegate_on_your_own_model", "Hi @pkgoogle Thanks for you reply!\r\n\r\nNo, I am not using any delegate. This is how I initialise the Interpreter:\r\n\r\n```\r\ninit {\r\n val model = FileUtil.loadMappedFile(context, modelFileName)\r\n val options = Interpreter.Options()\r\n options.numThreads = CPU_NUM_THREADS\r\n interpreter = Interpreter(model, options)\r\n}\r\n```\r\n\r\nPlease note that, I am not getting the error with the release 2.11.0. It only occurs for the newer releases above this version.", "Hi @nijat-ahmadli, this original case originated from a different code/situation, can you please write a new issue that contains your reproducible code as well as system/environment information that conforms to the issue templates? Thanks for your help.", "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/61095\">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/61095\">No</a>\n", "@pkgoogle [Issue](https://github.com/tensorflow/tensorflow/issues/62173) is created as requested. Thanks!" ]

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[ "@penpornk ", "Closing this since it is a subset of #61123 which is now merged. Thank you very much again, @cfRod!" ]

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[ "Hi,\r\n\r\nThanks for reporting the issue.\r\n\r\nTensorflow Metal support for M1 and M2 were not officially supported by us. \r\nAs shown in the warning, the performance impact for M1 and M2 is shown.\r\n\r\nIf your issue is specific to the warning you have mentioned, as mentioned in the warning, please use `tf.keras.optimizers.legacy.Adam`, this is the optimizer which was used till 2.10 version until new optimizer was made as default `tf.keras.optimizers.Adam`", "Should I use TensorFlow 2.10 or should O write tf.keras.optimizers.legacy.Adam until the problem is solved.", "Yes, you are right, you can use `tf.keras.optimizers.legacy.Adam` until the performance issue related to M1, M2 is solved.\r\nIf it is not impacting too much, you can continue using the new `Adam` optimizer", "If I'm not mistaken, I should use tf.keras.optimizers.legacy Adam for Tensorflor 2.11+", "Yes, to get the better performance on M1 & M2.", "Can we use it for loss functions too?", "Hi, For loss functions, please use one of the https://www.tensorflow.org/api_docs/python/tf/keras/losses" ]

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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/61091\">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/61091\">No</a>\n", "@ZTMIDGO,\r\nCould you please provide the complete standalone code to reproduce the issue and also it helps to analyse the issue in an effective way. 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.", "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/61091\">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/61091\">No</a>\n" ]

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[ "Hi @PhyllisJi ,\r\n\r\nThanks for reaching us. The documentation of [tf.keras.layers.Conv2D](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv2D) for the argument `strides` as below:\r\n\r\n\r\n> \r\n> strides | An integer or tuple/list of 2 integers, specifying the strides of the convolution along the height and width. Can be a single integer to specify the same value for all spatial dimensions. Specifying any stride value != 1 is incompatible with specifying any dilation_rate value != 1.\r\n> -- | --\r\n> \r\n\r\nSimilarly for the argument `dilation_rate` the desrciption is as below.\r\n\r\n\r\n\r\n> dilation_rate | an integer or tuple/list of 2 integers, specifying the dilation rate to use for dilated convolution. Can be a single integer to specify the same value for all spatial dimensions. Currently, specifying any dilation_rate value != 1 is incompatible with specifying any stride value != 1.\r\n> -- | --\r\n> \r\n\r\nBoth the argument description states that when `strides != 1` then `dilation_rate` should be `1` . Also if dilation_rate !=1 then strides should be `strides=1`. There is interdependency in between these two arguments. The documentation seems little tricky here to understand but it is documented already.\r\n\r\nI am attaching a [gist](https://colab.research.google.com/gist/SuryanarayanaY/c1f9b91a6ff6eea4e2429ff01d6fae52/61090.ipynb) for the demo also. Hope this will clarify.\r\n\r\nThanks!\r\n\r\n\r\n\r\n\r\n", "> Hi @PhyllisJi ,\r\n> \r\n> Thanks for reaching us. The documentation of [tf.keras.layers.Conv2D](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv2D) for the argument `strides` as below:\r\n> \r\n> > strides\r\n> > An integer or tuple/list of 2 integers, specifying the strides of the convolution along the height and width. Can be a single integer to specify the same value for all spatial dimensions. Specifying any stride value != 1 is incompatible with specifying any dilation_rate value != 1.\r\n> \r\n> Similarly for the argument `dilation_rate` the desrciption is as below.\r\n> \r\n> > dilation_rate\r\n> > an integer or tuple/list of 2 integers, specifying the dilation rate to use for dilated convolution. Can be a single integer to specify the same value for all spatial dimensions. Currently, specifying any dilation_rate value != 1 is incompatible with specifying any stride value != 1.\r\n> \r\n> Both the argument description states that when `strides != 1` then `dilation_rate` should be `1` . Also if dilation_rate !=1 then strides should be `strides=1`. There is interdependency in between these two arguments. The documentation seems little tricky here to understand but it is documented already.\r\n> \r\n> I am attaching a [gist](https://colab.research.google.com/gist/SuryanarayanaY/c1f9b91a6ff6eea4e2429ff01d6fae52/61090.ipynb) for the demo also. Hope this will clarify.\r\n> \r\n> Thanks!\r\n\r\nThank you for your answers！", "@PhyllisJi ,\r\n\r\nThanks for confirmation. Can we mark this as resolved now? Please feel free to close the issue if resolved.\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/61090\">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/61090\">No</a>\n" ]

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[ "@SupermanTai,\r\nWe see that you are using tf version 1.14, 1.x is not actively supported, please update to 2.x and let us know if you are facing the same issue. \r\n\r\nAnd also you have provided the code which is suitable for 1.x version. Could you please try to migrate your TensorFlow code from TensorFlow 1.x to TensorFlow 2 with the help of this official document.\r\nhttps://www.tensorflow.org/guide/migrate\r\n\r\nAlso please try to install the tensorflow latest stable version by referring to the official build documentation.\r\nhttps://www.tensorflow.org/install\r\n\r\nThank you!", "Tensorflow 1 is no longer supported, To ease the process of conversion you can install Tensorflow and Tensorflow-upgrade using the following Commands\r\n\r\n`pip install tensorflow`\r\n\r\nand\r\n\r\n`pip install tensorflow-upgrade`\r\n\r\nRun the upgrade script on your TensorFlow 1.x code:\r\n\r\n`tensorflow-upgrade --infile your_script.py --outfile upgraded_script.py`\r\n\r\nReplace **your_script.py** with the name to your TensorFlow 1.x script, this will remove all the depracated methods and replace them with new ones in the new script.", "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/61089\">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/61089\">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/61088/checks?check_run_id=14577853119) 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." ]