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ci/official/utilities/get_versions.sh
# nightly job. update_version.py affects TF_VER_SUFFIX, TF_VER_PYTHON, and # TF_VER_FULL. # Note: in awk, the command '/search/ {commands}' applies the commands to any line that # matches the /search/ regular expression. "print $N" prints the Nth "field", # where fields are strings separated by whitespace. export TF_VER_MAJOR=$(awk '/#define TF_MAJOR_VERSION/ {print $3}' tensorflow/core/public/version.h)
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 2.3K bytes - Viewed (0) -
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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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.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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RELEASE.md
collective. This parallelizes work on CPU and speeds up the collective performance. Default behavior is unchanged. * Add an option `perturb_singular` to `tf.linalg.tridiagonal_solve` that allows solving linear systems with a numerically singular tridiagonal matrix, e.g. for use in inverse iteration. * Added `tf.linalg.eigh_tridiagonal` that computes the eigenvalues of a
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
[](void* data, size_t, void* arg) { delete reinterpret_cast<DataType*>(data); }, nullptr), TF_DeleteTensor); // TODO(allenl): Here and when executing regular operations, we could hold // on to one TFE_Op per device and just call TFE_ResetOp to avoid parsing // device names repeatedly. std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> const_op(
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tensorflow/c/c_api.h
// must either have the same length as `outputs` // (i.e. `noutputs`) or be null. In the former case, // the names should match the regular expression for ArgDef // names - "[a-z][a-z0-9_]*". In the latter case, // names for outputs will be generated automatically.
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