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ci/official/envs/versions_upload
# pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions/" TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse"
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tensorflow/c/eager/immediate_execution_distributed_manager.h
// Check if the remote task is alive. virtual Status CheckRemoteAlive(const std::string& remote_task_name, bool* is_alive) = 0; // Get pointer to the coordination service agent instance. virtual tsl::CoordinationServiceAgent* GetCoordinationServiceAgent() = 0; }; } // namespace tensorflow
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
const char* prefix, 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
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tensorflow/c/eager/c_api_experimental.cc
#include "xla/tsl/c/tsl_status_internal.h" #include "xla/tsl/distributed_runtime/coordination/coordination_service_agent.h" #include "tensorflow/core/common_runtime/composite_device.h" #include "tensorflow/core/common_runtime/device.h" #include "tensorflow/core/common_runtime/eager/eager_operation.h" #include "tensorflow/core/distributed_runtime/coordination/coordination_service_error_util.h" #include "tensorflow/core/framework/function.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
ci/official/utilities/setup_macos.sh
pip install twine==3.6.0 fi # Scheduled nightly and release builds upload build artifacts (Pip packages, # Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as # a service account that has the right permissions to be able to do so. set +x if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
SECURITY.md
tenant isolation, resource allocation, model sharing and hardware attacks. ### Tenant isolation Since any tenants or users providing models, graphs or checkpoints can execute code in context of the TensorFlow service, it is important to design isolation mechanisms that prevent unwanted access to the data from other tenants. Network isolation between different models is also important not only to prevent
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RELEASE.md
* Added support for cross-trainer data caching in tf.data service. This saves computation resources when concurrent training jobs train from the same dataset. See (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service#sharing_tfdata_service_with_concurrent_trainers) for more details. * Added `dataset_id` to `tf.data.experimental.service.register_dataset`.
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tensorflow/c/eager/BUILD
"//tensorflow/core/distributed_runtime/eager:eager_client", "//tensorflow/core/distributed_runtime/rpc:grpc_channel", "//tensorflow/core/distributed_runtime/rpc:grpc_server_lib", "//tensorflow/core/distributed_runtime/rpc:grpc_worker_cache", "//tensorflow/core/distributed_runtime/rpc:grpc_worker_service",
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tensorflow/BUILD
"@local_xla//xla/service:computation_placer", "//tensorflow/core", "//tensorflow/core/common_runtime/eager:context", "//tensorflow/core/common_runtime/eager:tensor_handle", "//tensorflow/core/config:flag_defs", "//tensorflow/core/config:flags", "//tensorflow/core/data/service:dispatcher_client", "//tensorflow/core/data/service:grpc_util",
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LICENSE
the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file.
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