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tensorflow/c/eager/immediate_execution_tensor_handle.h
// // -1 indicates an unknown axis length; this is unreachable for most standard // ImmediateExecutionTensorHandles, but comes up for example when computing // the shape of a parallel tensor with component shapes differing across // devices. virtual Status Dim(int dim_index, int64_t* dim) const = 0; // Returns the device which created the handle. virtual const char* DeviceName(Status* status) const = 0;
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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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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// Furthermore, since each test creates and deletes files, we will use the same // fixture to create new directories in `SetUp`. Each directory will reside in // `::testing::TempDir()`, will use a RNG component and the test name. This // ensures that two consecutive runs are unlikely to clash. class ModularFileSystemTest : public ::testing::TestWithParam<std::string> { public:
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CODEOWNERS
# Where component owners are known, add them here. /tensorflow/c/eager @qqfish /tensorflow/core/common_runtime/eager @qqfish /tenosrflow/core/debug @caisq /tensorflow/core/kernels/mkl/ @penpornk /tensorflow/core/kernels/sparse/ @penpornk /tensorflow/core/nccl/ @azaks2 @chsigg /tensorflow/python/autograph/ @mdanatg /tensorflow/python/debug @caisq /tensorflow/python/eager @rohan100jain /tensorflow/tools/docs/ @markdaoust
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RELEASE.md
`tf.data.Options()`. * Support cancellation of long-running `reduce`. * Now we use `dataset` node name as prefix instead of the op name, to identify the component correctly in metrics, for pipelines with repeated components. * Improve the performance of datasets using `from_tensors()`. * Promoting `unbatch` from experimental to core API.
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tensorflow/c/eager/c_api_distributed_test.cc
// second worker, and run a distributed function (VariableAddFunction) whose ops // span the local and remote workers. If the graph optimization pass is executed // on both the main function side and the component function side, an error will // be thrown in the registered graph optimization pass. TEST(CAPI, DistributedFunctionGraphPassOnlyOnce) { // Register graph pass that will raise error if called more than once.
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