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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
std::array<TensorHandlePtr, 2> out_components; ExtractPerDeviceValues(context.get(), multiply_result.get(), &out_components, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); ExpectScalarEq<float>(out_components[0].get(), 9.); ExpectScalarEq<float>(out_components[1].get(), 4.); } worker_server1.release();
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CONTRIBUTING.md
* [Bash license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/ci_build/ci_build.sh#L2) * [JavaScript/TypeScript license example](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/components/tf_backend/backend.ts#L1) Bazel BUILD files also need to include a license section, e.g., [BUILD example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/BUILD#L61). #### C++ coding style
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RELEASE.md
* Introduce the `tf.compat.v1.keras.utils.track_tf1_style_variables` decorator, which enables using large classes of tf1-style variable_scope, `get_variable`, and `compat.v1.layer`-based components from within TF2 models running with TF2 behavior enabled. * `tf.data`: * tf.data service now supports auto-sharding. Users specify the sharding
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ci/devinfra/docker_windows/Dockerfile
[Environment]::SetEnvironmentVariable(\"JAVA_HOME\", $zulu_root, \"Machine\") # Install gcloud (install.bat installs directly into bin folder of extracted zip contents) # Install needed gcloud components RUN Add-Type -AssemblyName "System.IO.Compression.FileSystem"; \ $pkg_url = \"https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-cli-396.0.0-windows-x86_64.zip\"; \
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
std::vector<TensorHandlePtr> components; components.reserve(underlying_devices_.size()); for (int j = 0; j < underlying_devices_.size(); ++j) { components.push_back(std::move(per_device_output_tensors[j][i])); } if (expected_output_shapes[i].IsFullyDefined()) { per_device_outputs.push_back(ParallelTensor::FromTensorHandles( *this, std::move(components),
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// devices of a ParallelDevice. If called, ParallelTensor::Shape inspects // `components` to determine a shape. static std::unique_ptr<ParallelTensor> FromTensorHandles( const ParallelDevice& parallel_device, std::vector<TensorHandlePtr> components, TF_Status* status); // Uses the provided shape without additional checks, which avoids blocking
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tensorflow/c/eager/parallel_device/parallel_device.cc
" inputs to TPUReplicatedInput, but got ", inputs.size())); TF_SetStatus(status, TF_INVALID_ARGUMENT, message.c_str()); return result; } std::vector<TensorHandlePtr> components; components.reserve(inputs.size()); for (int i = 0; i < inputs.size(); ++i) { if (absl::holds_alternative<ParallelTensor*>(inputs[i])) { std::string message(absl::StrCat(
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