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tensorflow/BUILD
filegroup( name = "tensorflow_def_file", srcs = [":tf_custom_op_library_additional_deps.dll"], output_group = "def_file", ) # Filter the DEF file to reduce the number of symbols to 64K or less. # Note that we also write the name of the pyd file into DEF file so that # the dynamic libraries of custom ops can find it at runtime. genrule( name = "tensorflow_filtered_def_file",
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tensorflow/c/experimental/grappler/grappler.cc
TP_OPTIMIZER_REGISTRATION_PARAMS_STRUCT_SIZE); VALIDATE_MEMBER(TP_OptimizerRegistrationParams, params, device_type); return absl::OkStatus(); } absl::Status ValidateTPOptimizer(const TP_Optimizer& optimizer) { VALIDATE_STRUCT_SIZE(TP_Optimizer, optimizer, TP_OPTIMIZER_STRUCT_SIZE); VALIDATE_MEMBER(TP_Optimizer, optimizer, optimize_func); return absl::OkStatus(); }
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ci/official/README.md
# See full examples below for more details on these. Some other modifiers are: # Ex. versions_upload -- for TF official release versions # Ex. nightly_upload -- for TF nightly official builds; changes version numbers # Ex. no_upload -- Disable all uploads, usually for temporary CI issues # Recommended: use a local+remote cache. # # Bazel will cache your builds in tensorflow/build_output/cache,
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CONTRIBUTING.md
[how-to](https://help.github.com/articles/using-pull-requests/). TensorFlow team members will be assigned to review your pull requests. Once the pull requests are approved and pass continuous integration checks, a TensorFlow team member will apply `ready to pull` label to your change. This means we are working on getting your pull request submitted to our internal repository. After the change has been submitted internally, your pull request will be merged
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ci/official/libtensorflow.sh
source "${BASH_SOURCE%/*}/utilities/setup.sh" # Record GPU count and CUDA version status if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then tfrun nvidia-smi fi # Update the version numbers for Nightly only if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly fi
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ci/official/wheel.sh
source "${BASH_SOURCE%/*}/utilities/setup.sh" # Record GPU count and CUDA version status if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then tfrun nvidia-smi fi # Update the version numbers for Nightly only if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly # replace tensorflow to tf_nightly in the wheel name
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tensorflow/c/eager/immediate_execution_context.h
// context and TF server for multi-client execution. virtual Status EnableCollectiveOps(const ServerDef& server_def) = 0; // Set a distributed manager that helps set up, update, and check liveness // of member tasks in the cluster. virtual void SetDistributedManager( std::unique_ptr<ImmediateExecutionDistributedManager> distributed) = 0; virtual ImmediateExecutionDistributedManager* GetDistributedManager() = 0;
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tensorflow/c/eager/parallel_device/parallel_device.cc
// reference counts drop to zero. void ParallelTensorDeallocator(void* data) { delete reinterpret_cast<ParallelTensor*>(data); } // Used as an argument to TFE_NewCustomDeviceTensorHandle, for computing the // number of dimensions of a parallel tensor. int ParallelTensorNumDims(void* data, TF_Status* status) { const std::vector<int64_t>* shape; Status s = reinterpret_cast<ParallelTensor*>(data)->Shape(&shape); if (!s.ok()) {
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tensorflow/c/eager/parallel_device/parallel_device_test.cc
context.get(), components, device_name, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_INVALID_ARGUMENT) << TF_Message(status.get()); } { // Try to extract the wrong number of components from a parallel tensor std::array<TFE_TensorHandle*, 1> correct_components{value_one.get()}; TensorHandlePtr combined_value = CreatePerDeviceValues(
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.github/workflows/sigbuild-docker.yml
username: _json_key password: ${{ secrets.GCP_CREDS }} - name: Grab the upcoming TF version to tag this container run: | # [[:digit:]] searches for numbers and \+ joins them together major_version=$(grep "^#define TF_MAJOR_VERSION" ./tensorflow/core/public/version.h | grep -o "[[:digit:]]\+")
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