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.github/ISSUE_TEMPLATE/tflite-other.md
required: true - type: textarea id: code-to-reproduce attributes: label: Standalone code to reproduce the issue description: Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Colab/Jupyter/any notebook. placeholder: Tell us what you see! value: render: shell validations: required: true
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CODEOWNERS
/tensorflow/python/autograph/ @mdanatg /tensorflow/python/debug @caisq /tensorflow/python/eager @rohan100jain /tensorflow/tools/docs/ @markdaoust /tensorflow/compiler/mlir/ @aminim /tensorflow/core/ir/ @aminim /tensorflow/core/transforms/ @aminim
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
- Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`): **Standalone code to reproduce the issue** Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to or attach code demonstrating the problem. **Any other info / logs** Include any logs or source code that would be helpful to diagnose the problem.
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SECURITY.md
your report: - A descriptive title - Your name and affiliation (if any). - A description of the technical details of the vulnerabilities. - A minimal example of the vulnerability. It is very important to let us know how we can reproduce your findings. For memory corruption triggerable in TensorFlow models, please demonstrate an exploit against one of Alphabet's
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RELEASE.md
* TensorFlow 1.7 may be the last time we support Cuda versions below 8.0. Starting with TensorFlow 1.8 release, 8.0 will be the minimum supported version. * TensorFlow 1.7 may be the last time we support cuDNN versions below 6.0. Starting with TensorFlow 1.8 release, 6.0 will be the minimum supported version. ## Thanks to our Contributors
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.bazelrc
# RBE cross-compile configs for Darwin x86 build:rbe_cross_compile_macos_x86 --config=cross_compile_macos_x86 --remote_download_minimal build:rbe_cross_compile_macos_x86 --bes_backend="" --bes_results_url="" --bes_timeout="0s" build:rbe_cross_compile_macos_x86 --experimental_remote_build_event_upload="minimal" build:rbe_cross_compile_macos_x86 --config=rbe_cross_compile_base
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tensorflow/c/c_api_experimental.h
// Returns whether the single GPU or general XLA auto jit optimizations are // enabled through MarkForCompilationPassFlags. TF_CAPI_EXPORT unsigned char TF_GetXlaAutoJitEnabled(); // Sets XLA's minimum cluster size. This has global effect. TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size); // Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant
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.github/ISSUE_TEMPLATE/tflite-op-request.md
**Provide the text output from tflite_convert** ``` # Copy and paste here ``` **Standalone code to reproduce the issue** Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Colab/Jupyter/any notebook. Also, please include a link to a GraphDef or the model if possible. **Any other info / logs**
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.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
required: true - type: textarea id: code-to-reproduce attributes: label: Standalone code to reproduce the issue description: Provide a reproducible test case that is the bare minimum necessary to generate the problem. Please share a link to Colab, Jupyter, or any notebook. placeholder: Tell us what you see! value: render: shell validations: required: true
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tensorflow/c/eager/c_api_test_util.h
tensorflow::uint64 send_device_incarnation); // Return a 1-D INT32 tensor containing a single value 1. TFE_TensorHandle* TestAxisTensorHandle(TFE_Context* ctx); // Return an op taking minimum of `input` long `axis` dimension. TFE_Op* MinOp(TFE_Context* ctx, TFE_TensorHandle* input, TFE_TensorHandle* axis); // If there is a device of type `device_type`, returns true
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