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ci/official/utilities/get_versions.sh
export TF_VER_PATCH=$(awk '/#define TF_PATCH_VERSION/ {print $3}' tensorflow/core/public/version.h) # Note: in awk, "print $N" prints the Nth "field", where fields are strings separated # by whitespace. The flag "-F<x>" changes the behavior such that fields are now strings # separated by the character <x>. Therefore, -F\' (escaped single quote) means that field # $2 in <Tensor'flow'> is <flow>. This is useful for reading string literals like below.
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ci/official/utilities/code_check_changed_files.bats
# Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines. @test "Check buildifier formatting on BUILD files" { echo "buildifier formatting is recommended. Here are the suggested fixes:" echo "=============================" grep -e 'BUILD' $BATS_FILE_TMPDIR/changed_files \ | xargs buildifier -v -mode=diff -diff_command="git diff --no-index" }
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just # one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal.
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tensorflow/c/c_api_test.cc
EXPECT_TRUE(absl::StrContains(s, expected)) << "'" << s << "' does not contain '" << expected << "'"; } // Returns the GPU device name if there is one (with arbitrary tie breaking if // there are more than one), or "" otherwise. string GPUDeviceName(TF_Session* session) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TF_Status* s = status.get();
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CONTRIBUTING.md
- Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the [guidelines](#general-guidelines-and-philosophy-for-contribution). - Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code
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ci/official/README.md
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh # 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),
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tensorflow/c/eager/c_api_experimental.h
// be an empty string if no device was explicitly requested, but will // otherwise be the name of this custom device. Ops are placed onto a custom // device if any of their inputs are on that custom device, but custom devices // are free to set a bad status in order to require explicit placement. void (*execute)(const TFE_Op* op, int* num_outputs,
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ci/official/requirements_updater/README.md
system-installed Python packages. \ Instead, an independent Python toolchain is registered, ensuring the right dependencies are always used. \ See https://github.com/bazelbuild/rules_python/ for more details. ### Specifying the Python version Note: Only a number of minor Python versions are supported at any given time. By default, the lowest supported version is used.
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tensorflow/c/eager/gradients.cc
vspace, target_tensor_ids, source_tensor_ids, sources_that_are_targets, output_gradients, result, /*build_default_zeros_grads*/ false)); return absl::OkStatus(); } // Helper functions which delegate to `AbstractOperation`, update // the state of the ForwardOperation and call the tape as appropriate. // These APIs are mainly to facilitate testing and are subject to change. namespace internal {
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tensorflow/api_template.__init__.py
TensorFlow via the command `import tensorflow as tf`. The primary function of this module is to import all of the public TensorFlow interfaces into a single place. The interfaces themselves are located in sub-modules, as described below. Note that the file `__init__.py` in the TensorFlow source code tree is actually only a placeholder to enable test cases to run. The TensorFlow build replaces
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