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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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ISSUES.md
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 should be sought on Stack Overflow or other non-GitHub channels. It helps us to
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ci/official/envs/rbe
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ci/official/wheel_test/README.md
## Wheel Test This directory is dedicated to tests that require a built TensorFlow wheel file for testing, such as: * Ensuring the entire API is importable * Testing downstream projects against the wheel Ensure you have Bazel installed and accessible from your command line. These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform.
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tensorflow/c/eager/dlpack_test.cc
TestHandleFromDLPack(status, ctx, {4}, {1}); TestHandleFromDLPack(status, ctx, {4, 3, 2}, {}); TestHandleFromDLPack(status, ctx, {4, 3, 2}, {6, 2, 1}); // Test that dims with size=1 can have any stride. TestHandleFromDLPack(status, ctx, {1}, {1}); TestHandleFromDLPack(status, ctx, {1}, {0}); TestHandleFromDLPack(status, ctx, {4, 1, 2}, {2, 1, 1}); TestHandleFromDLPack(status, ctx, {4, 1, 2}, {2, 0, 1});
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.github/bot_config.yml
| 1.13.1 - 2.0 | 10.0 | | 1.5.0 - 1.12.0 | 9.0 | * If you have above configuration and using _**Windows**_ platform - * Try adding the CUDA, CUPTI, and cuDNN installation directories to the %PATH% environment variable. * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup). * If you have above configuration and using _**Ubuntu/Linux**_ platform -
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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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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/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.cc
int dst_fd = open(dst, O_WRONLY | O_CREAT | O_TRUNC, open_mode); if (dst_fd < 0) { close(src_fd); return -1; } // Both files have been opened, do the transfer. // Since errno would be overridden by `close` below, save it here. int error_code = 0; if (CopyFileContents(dst_fd, src_fd, size) < 0) error_code = errno; close(src_fd); close(dst_fd); if (error_code != 0) {
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