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ci/official/utilities/code_check_full.bats
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RELEASE.md
becomes `axis` * `tf.reduce_mean`: `reduction_indices` becomes `axis` * `tf.reduce_min`: `reduction_indices` becomes `axis` * `tf.reduce_prod`: `reduction_indices` becomes `axis` * `tf.reduce_sum`: `reduction_indices` becomes `axis` * `tf.reverse_sequence`: `batch_dim` becomes `batch_axis`, `seq_dim` becomes `seq_axis` * `tf.sparse_concat`: `concat_dim` becomes `axis` * `tf.sparse_reduce_sum`: `reduction_axes` becomes `axis` *
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.bazelrc
# ARM64 PYCPP # In Linux Arm64 presubmit/continuous build, we cross-compile the binaries on # Linux x86 so that we can use RBE. Since tests still need to run on the single # host Arm64 machine, the build becomes too slow (~30 min) to be a presubmit. # For testing purposes, we want to see the runtime performance of an # experimental job that is build-only, i.e, we only build the test targets and
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CONTRIBUTING.md
[guidelines](#general-guidelines-and-philosophy-for-contribution). - Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code ![Screen Shot 2022-08-30 at 7 27 04 PM](https://user-images.githubusercontent.com/42785357/187579207-9924eb32-da31-47bb-99f9-d8bf1aa238ad.png) ### Typical Pull Request Workflow -
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tensorflow/c/c_api.cc
TF_Status* status) { status->status = absl::OkStatus(); for (int i = 0; i < noutputs; ++i) { c_outputs[i] = nullptr; } } // TF_TensorToTensorV1 decodes a string serialization to DT_RESOURCE. // In the TFv1 convention, TF_Tensor can hold a string serialization of // DT_RESOURCE. The string serialization is converted back to a
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tensorflow/c/eager/c_api_experimental.h
TF_Status* status); // Set configuration key and value using coordination service. // If coordination service is enabled, the key-value will be stored on the // leader and become accessible to all workers in the cluster. // Currently, a config key can only be set with one value, and subsequently // setting the same key will lead to errors. //
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tensorflow/c/eager/tape.h
if (existing != accumulated_gradients_.end()) { // This is a somewhat odd case to be in, since it means we have two // operations which supposedly both created the same Tensor. It comes up // in recompute_grad, where the gradients have the same value. However, // only the original gradient is connected to everything else, so we // should still use that.
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ci/official/upload.sh
if [[ "$TFCI_ARTIFACT_FINAL_GCS_ENABLE" == 1 ]]; then gcloud auth activate-service-account --key-file="$TFCI_ARTIFACT_FINAL_GCS_SA_PATH" # $TF_VER_FULL will resolve to e.g. "2.15.0-rc2". Since $TF_VER_FULL comes # from get_versions.sh, which must be run *after* update_version.py, FINAL_URI # can't be set inside the rest of the _upload envs. FINAL_URI="$TFCI_ARTIFACT_FINAL_GCS_URI/$TF_VER_FULL"
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tensorflow/c/c_api_function.cc
fn_name, "'"); output_tensors->emplace_back(node, idx); } return absl::OkStatus(); } // Populates `body_nodes` with the nodes that will become function's body. // Performs various checks. Status ComputeBodyNodes( const TF_Graph* fn_body, const char* fn_name, int num_opers, const TF_Operation* const* opers,
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