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.gitignore
.idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp /tensorflow/lite/gen/** /tensorflow/lite/tools/make/downloads/** /tensorflow/lite/tools/make/gen/** /api_init_files_list.txt /estimator_api_init_files_list.txt *.whl # Android .gradle .idea *.iml local.properties gradleBuild # iOS *.pbxproj *.xcworkspace
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ISSUES.md
If you open a GitHub Issue, here is our policy: 1. It must be a bug/performance issue or a feature request or a build issue or a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support
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ci/official/envs/disk_cache
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.github/ISSUE_TEMPLATE/tflite-other.md
Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub.
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tensorflow/c/checkpoint_reader.cc
(*var_to_shape_map)[key] = TensorShape(entry.shape()); (*var_to_data_type_map)[key] = DataType(entry.dtype()); } // The returned pointers are owned by the caller. return std::make_pair(std::move(var_to_shape_map), std::move(var_to_data_type_map)); } } // namespace checkpoint
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. #
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
patch -p1 < /gcc9-fixups.patch patch -p1 < /stringop_trunc.patch cd ../glibc-build ../glibc-src/configure --prefix=/usr --disable-werror --enable-obsolete-rpc --disable-profile make -j$(nproc) make install DESTDIR=${TARGET} cd .. # Symlinks in the binary distribution are set up for installation in /usr, we # need to fix up all the links to stay within /${TARGET}. /fixlinks.sh "/${TARGET}"
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tensorflow/c/eager/tfe_monitoring_reader_internal.h
#include <memory> #include "tensorflow/core/lib/monitoring/cell_reader.h" struct TFE_MonitoringCounterReader { explicit TFE_MonitoringCounterReader(const char* name) { counter = std::make_unique< ::tensorflow::monitoring::testing::CellReader<int64_t>>(name); } template <typename... LabelType> int64_t Read(const LabelType&... labels);
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ci/official/README.md
# First, set your TFCI variable to choose the environment settings. # TFCI is a comma-separated list of filenames from the envs directory, which # are all settings for the scripts. TF's CI jobs are all made of a combination # of these env files. # # If you've clicked on a test result from our CI (via a dashboard or GitHub link), # click to "Invocation Details" and find BUILD_CONFIG, which will contain a TFCI
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.github/bot_config.yml
* For TF-CPU - See point 2 ----------------------------------------------------------------------------------------------- **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries** Make sure you are using compatible TF and CUDA versions. Please refer following TF version and CUDA version compatibility table. | TF | CUDA | | :-------------: | :-------------: | | 2.5.0 | 11.2 |
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