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ci/official/requirements_updater/requirements.in
termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies grpcio >= 1.24.3, < 2.0 portpicker == 1.6.0 scipy == 1.11.3
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
--- name: TensorFlow Lite in Play Services issue about: Use this template for issues with TensorFlow Lite in Google Play Services labels: 'comp:lite-in-play-services' --- **System information** - Android Device information (use `adb shell getprop ro.build.fingerprint` if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version
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tensorflow/c/c_api_experimental.h
// Returns the graph content in a human-readable format, with length set in // `len`. The format is subject to change in the future. // The returned string is heap-allocated, and caller should call free() on it. TF_CAPI_EXPORT extern const char* TF_GraphDebugString(TF_Graph* graph, size_t* len); // Returns the function content in a human-readable format, with length set in
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
# Googlers: search for "test_tf_whl_size" case "$TF_WHEEL" in # CPU: *cpu*manylinux*) LARGEST_OK_SIZE=220 ;; # GPU: *manylinux*) LARGEST_OK_SIZE=580 ;; # Unknown: *) echo "The wheel's name is in an unknown format." exit 1 ;; esac # >&3 forces output in bats even if the test passes. See
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tensorflow/c/eager/tape.h
} Gradient* in_grad = in_grads[grad_index]; if (in_grad != nullptr) { // ComputeGradient steals a reference vspace_.MarkAsResult(in_grad); } used_in_grads.push_back(in_grad); } } return tape->ComputeGradient(vspace_, targets, sources, sources_that_are_targets, used_in_grads,
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.h
// Initialize the POSIX filesystem. // // In general, the `TF_InitPlugin` symbol doesn't need to be exposed in a header // file, since the plugin registration will look for the symbol in the DSO file // that provides the filesystem functionality. However, the POSIX filesystem // needs to be statically registered in some tests and utilities for building
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configure.py
else: raise Exception('Unable to parse NDK revision.') if int(ndk_version) not in _SUPPORTED_ANDROID_NDK_VERSIONS: print('WARNING: The NDK version in %s is %s, which is not ' 'supported by Bazel (officially supported versions: %s). Please use ' 'another version. Compiling Android targets may result in confusing ' 'errors.\n' %
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CITATION.cff
cff-version: 1.2.0 message: "If you use TensorFlow in your research, please cite it using these metadata. Software is available from tensorflow.org." title: TensorFlow, Large-scale machine learning on heterogeneous systems
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ci/official/wheel_test/test_import_api_packages.py
# # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS,
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.github/workflows/update-rbe.yml
# # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS,
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