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ci/official/envs/nightly_upload
TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1 TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/nightly/latest/" TFCI_ARTIFACT_STAGING_GCS_ENABLE=1 TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-artifact-staging/staging/nightly/$(git rev-parse HEAD)/" # 2. The internal version numbers get changed TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=1
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ci/official/envs/no_upload
TFCI_ARTIFACT_FINAL_GCS_ENABLE= TFCI_ARTIFACT_FINAL_GCS_SA_PATH= TFCI_ARTIFACT_FINAL_GCS_URI= TFCI_ARTIFACT_FINAL_PYPI_ARGS= TFCI_ARTIFACT_FINAL_PYPI_ENABLE= TFCI_ARTIFACT_LATEST_GCS_URI= TFCI_ARTIFACT_STAGING_GCS_ENABLE= TFCI_ARTIFACT_STAGING_GCS_URI=
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ci/official/envs/ci_default
TFCI_ARTIFACT_FINAL_GCS_ENABLE= TFCI_ARTIFACT_FINAL_GCS_SA_PATH= TFCI_ARTIFACT_FINAL_GCS_URI= TFCI_ARTIFACT_FINAL_PYPI_ARGS= TFCI_ARTIFACT_FINAL_PYPI_ENABLE= TFCI_ARTIFACT_LATEST_GCS_URI= TFCI_ARTIFACT_STAGING_GCS_ENABLE= TFCI_ARTIFACT_STAGING_GCS_URI= TFCI_BAZEL_BAZELRC_ARGS= TFCI_BAZEL_COMMON_ARGS= TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX= TFCI_BUILD_PIP_PACKAGE_ARGS= TFCI_DOCKER_ARGS= TFCI_DOCKER_ENABLE= TFCI_DOCKER_IMAGE=
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tensorflow/c/eager/parallel_device/parallel_device.cc
// TODO(allenl): We should remove "TPU" from these op names at the very least, // or consider other ways of packing/unpacking parallel tensors. if (operation_name == std::string("TPUReplicatedInput")) { // Special-cased operation for packing per-device tensors into one parallel // tensor. if (inputs.size() != parallel_device.num_underlying_devices()) { std::string message(absl::StrCat(
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ci/official/upload.sh
# "gsutil rsync -d" is "sync and delete files from destination if not present in source" DOWNLOADS="$(mktemp -d)" mkdir -p "$DOWNLOADS" gsutil -m rsync -r "$TFCI_ARTIFACT_STAGING_GCS_URI" "$DOWNLOADS" ls "$DOWNLOADS" # Upload all build artifacts to e.g. gs://tensorflow/versions/2.16.0-rc1 (releases) or # gs://tensorflow/nightly/2.16.0-dev20240105 (nightly), overwriting previous values.
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tensorflow/c/eager/parallel_device/parallel_device_testlib.h
static Variable* Create(TFE_Context* context, TF_DataType type, const int64_t* dims, const int num_dims, const char* device, TF_Status* status); // Dereferences the backing buffer for the variable. Note that since this can // fail (it runs operations), it must be called explicitly and the resulting // `status` checked. void Destroy(TFE_Context* context, TF_Status* status);
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README.md
[code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.** **We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for tracking requests and bugs, please see [TensorFlow Forum](https://discuss.tensorflow.org/) for general questions and discussion, and please direct specific questions to
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tensorflow/c/c_api.h
// `cond_output`, `body_outputs`, and `name`. The `body_outputs` buffer will be // allocated to size `ninputs`. The caller should build `cond_graph` and // `body_graph` starting from the inputs, and store the final outputs in // `cond_output` and `body_outputs`. // // If `status` is OK, the caller must call either TF_FinishWhile or
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tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
if (TF_GetCode(status) != TF_OK) return nullptr; return new Variable(var_handle, type); } void Variable::Destroy(TFE_Context* context, TF_Status* status) { // Free the backing buffer for the variable. std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op( TFE_NewOp(context, "DestroyResourceOp", status), &TFE_DeleteOp); if (TF_GetCode(status) != TF_OK) return;
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
{ tensorflow::mutex_lock l(execution_mutex_); while (execution_state_ != ExecutionState::kIdle) { // If there's already a pending execution, wait until Join finishes before // starting on the next operation. finished_join_.wait(l); } context_ = context; operation_name_ = operation_name; step_id_ = step_id; op_inputs_ = inputs; attributes_ = attributes;
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