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ci/official/utilities/code_check_changed_files.bats
} @test "API compatibility test passes, ensuring no unexpected changes to the TF API" { bazel test $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/api/tests:api_compatibility_test echo "You have to re-generate the TF API goldens and have the API changes reviewed." echo "Look at the instructions for ':api_compatibility_test -- --update_goldens=True'" } teardown_file() { bazel shutdown
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ci/official/envs/rbe
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ci/official/envs/linux_arm64
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python
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ci/official/utilities/setup_macos.sh
# for running smoke tests in nightly/release wheel builds. if [[ "${TFCI_MACOS_UPGRADE_PYENV_ENABLE}" == 1 ]]; then # The TFCI Mac VM image seems to have uncommitted local changes to the Pyenv # repository so we have to discard them and reset the working directory before # we can pull in the latest changes. cd /Users/kbuilder/.pyenv/ && git reset --hard HEAD && git pull && cd - fi
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tensorflow/api_template.__init__.py
# Don't fail if these modules are not available. # For e.g. this file will be originally placed under tensorflow/_api/v1 which # does not have "python", "core" directories. Then, it will be copied # to tensorflow/ which does have these two directories. try: del python except NameError: pass try: del core except NameError: pass try: del compiler except NameError:
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tensorflow/api_template_v1.__init__.py
# Don't fail if these modules are not available. # For e.g. this file will be originally placed under tensorflow/_api/v1 which # does not have "python", "core" directories. Then, it will be copied # to tensorflow/ which does have these two directories. try: del python except NameError: pass try: del core except NameError: pass try: del compiler
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ci/official/README.md
# Non-Googlers should replace "nightly_upload" or "rbe" with # "public_cache,disk_cache". # Googlers should replace "nightly_upload" with "public_cache,disk_cache" or # "rbe", if you have set up your system to use RBE (see further below). # # Here is how to choose your TFCI value: # 1. A Python version must come first, because other scripts reference it. # Ex. py39 -- Python 3.9
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ci/official/containers/linux_arm64/Dockerfile
COPY cuda.packages.txt /cuda.packages.txt RUN /setup.sources.sh && /setup.packages.sh /devel.packages.txt # Install various tools. # - bats: bash unit testing framework # NOTE: v1.6.0 seems to have a bug that made "git" in setup_file break # - bazelisk: always use the correct bazel version # - buildifier: clean bazel build deps # - buildozer: clean bazel build deps
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tensorflow/c/eager/unified_api_test.cc
PartialTensorShape shape; TF_RETURN_IF_ERROR(inputs[0]->Shape(&shape)); if (shape.dims() != 0) { return errors::InvalidArgument( "Tensor expected to have scalar shape found rank: ", shape.dims()); } return absl::OkStatus(); } TEST_P(UnifiedAPI, TestTensorShapeScalar) { if (UseFunction() && UseMlir()) { // TODO(b/173074167): Remove this.
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tensorflow/c/eager/c_api_unified_experimental.cc
} // end namespace tensorflow // ============================================================================= // Public C API entry points // // These are only the generic entry points for the C API. This file does not // have any visibility into the graph/eager implementation and is only providing // C bindings to the abstract classes defined in the // c_api_unified_experimental_internal.h header. //
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