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ci/official/requirements_updater/updater.sh
mv BUILD.bazel BUILD SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12") for VERSION in "${SUPPORTED_VERSIONS[@]}" do touch "requirements_lock_$VERSION.txt" bazel run \ --experimental_convenience_symlinks=ignore \ --enable_bzlmod=false \ //:requirements_"$VERSION".update sed -i '/^#/d' requirements_lock_"$VERSION".txt mv requirements_lock_"$VERSION".txt ../../../requirements_lock_"$VERSION".txt done
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ci/official/requirements_updater/WORKSPACE
"updater_config_repository", # @unused ) updater_config_repository(name = "updater_config_repository") python_register_multi_toolchains( name = "python", default_version = default_python_version, ignore_root_user_error = True, python_versions = [ "3.9", "3.10", "3.11", "3.12", ], register_coverage_tool = True, )
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ci/official/requirements_updater/release_updater.sh
SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12") for VERSION in "${SUPPORTED_VERSIONS[@]}" do cp ../../../requirements_lock_"$VERSION".txt "requirements_lock_"$VERSION".txt" bazel run \ --experimental_convenience_symlinks=ignore \ --enable_bzlmod=false \ //:requirements_"$VERSION"_release.update sed -i '/^#/d' requirements_lock_"$VERSION".txt mv "requirements_lock_"$VERSION".txt" ../../../requirements_lock_"$VERSION".txt done
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WORKSPACE
"python_repository", ) python_repository(name = "python_version_repo") load("@python_version_repo//:py_version.bzl", "TF_PYTHON_VERSION") python_register_toolchains( name = "python", ignore_root_user_error = True, python_version = TF_PYTHON_VERSION, ) load("@python//:defs.bzl", "interpreter") load("@rules_python//python:pip.bzl", "package_annotation", "pip_parse") NUMPY_ANNOTATIONS = {
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ci/official/utilities/code_check_full.bats
@test "Pip package includes all required //tensorflow dependencies" { # grep patterns for packages whose dependencies can be ignored cat > $BATS_TEST_TMPDIR/ignore_deps_for_these_packages <<EOF //tensorflow/lite //tensorflow/compiler/mlir/lite //tensorflow/compiler/mlir/tfrt //tensorflow/core/runtime_fallback //tensorflow/core/tfrt //tensorflow/python/kernel_tests/signal
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ci/official/wheel_test/WORKSPACE
# Register multi toolchains load("@rules_python//python:repositories.bzl", "python_register_toolchains") # buildifier: disable=same-origin-load python_register_toolchains( name = "python", ignore_root_user_error = True, python_version = TF_PYTHON_VERSION, ) load("@python//:defs.bzl", "interpreter") load("@rules_python//python:pip.bzl", "pip_parse") pip_parse( name = "pypi",
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tensorflow/BUILD
"compat_template.__init__.py", ], output_dir = "_api/v1/", output_files = TENSORFLOW_API_INIT_FILES_V1, output_package = "tensorflow._api.v1", packages_to_ignore = ["tensorflow.python.framework.test_ops"], root_file_name = "v1.py", root_init_template = "api_template_v1.__init__.py", ) generate_apis( name = "tf_python_api_gen_v2",
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RELEASE.md
which creates `Dataset`s of indefinite sequences of numbers. * [`tf.data.Dataset.ignore_errors`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ignore_errors), which drops erroneous elements from `Dataset`s. * Added [`tf.data.Dataset.rebatch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset#rebatch),
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tensorflow/c/eager/tape.h
// Temporarily push or pop transient state for this accumulator. // // Allows an accumulator which is currently processing an operation to // temporarily reset its state. Without pushing and popping, accumulators // ignore operations executed as a direct result of their own jvp // computations. void PushState() { call_state_.emplace(nullptr, false); } void PopState() { call_state_.pop(); } private:
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
TF_NewStatus(), TF_DeleteStatus); // Wait until all pending nodes have completed since they may have a // reference to default_cancellation_manager_. We ignore the status return // since we already have a bad status to propagate. TFE_ContextAsyncWait(context, await_status.get()); // Reset the cancellation manager on a bad status. Otherwise we'll cancel
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