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ci/official/utilities/get_versions.sh
# explicitly, *after* checking if update_version.py needs to be run for a # 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.
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ci/official/utilities/code_check_changed_files.bats
| tee $BATS_TEST_TMPDIR/needs_help.txt [[ ! -s $BATS_TEST_TMPDIR/needs_help.txt ]] } @test "API compatibility test passes, ensuring no unexpected changes to the TF API" { bazel test $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/api/tests:api_compatibility_test echo "You have to re-generate the TF API goldens and have the API changes reviewed." echo "Look at the instructions for ':api_compatibility_test -- --update_goldens=True'"
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ci/official/envs/disk_cache
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ci/official/envs/rbe
But in .bazelrc, there is no "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX". That setting must exist for this script to function correctly. EOF exit 1 fi TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" # These flags share the user's gcloud credentials with the container, so that bazel
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ci/official/envs/linux_x86_cuda
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all"
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tensorflow/c/c_api_internal.h
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD) #include "tensorflow/core/framework/op_gen_lib.h" #endif // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD) #include "tensorflow/core/common_runtime/graph_constructor.h" #include "tensorflow/core/common_runtime/shape_refiner.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/framework/tensor.h" #include "tensorflow/core/framework/tensor_shape.h"
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tensorflow/c/eager/c_api_debug.cc
#include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/tfe_tensor_debug_info_internal.h" #include "tensorflow/c/eager/tfe_tensorhandle_internal.h" #include "tensorflow/c/tf_status_internal.h" #include "tensorflow/core/common_runtime/eager/tensor_handle.h" #include "tensorflow/core/platform/status.h" using tensorflow::string; namespace { std::vector<int64_t> TensorShapeAsVector(const tensorflow::TensorHandle& handle,
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ci/official/wheel_test/README.md
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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tensorflow/c/eager/immediate_execution_tensor_handle.h
// A TensorHandle is management class around a Tensor which may track additional // metadata and synchronization. // // This allows us to hide concrete implementations of TensorHandle from header // files. The interface lists the common functionality that must be provided by // any concrete implementation. However, in cases where the true concrete class // is needed a static_cast can be applied. class ImmediateExecutionTensorHandle : public AbstractTensorHandle {
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ci/official/bisect.sh
# # export TFCI=... # export TF_BISECT_SCRIPT=ci/official/any.sh # export TF_BISECT_GOOD=a_good_commit_sha # export TF_BISECT_BAD=a_failing_commit_sha # export TF_ANY_TARGETS="quoted list of targets, like on the command line" # export TF_ANY_MODE=test set -euxo pipefail cd "$(dirname "$0")/../../" # tensorflow/ export TFCI="$(echo $TFCI | sed 's/,nightly_upload/,public_cache,disk_cache/')"
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