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.github/ISSUE_TEMPLATE/tflite-other.md
name: TensorFlow Lite Other Issue description: Use this template to report any issue in TensorFlow Lite that is not about Converters, Play Services or Ops body: - type: dropdown id: issue-type attributes: label: Issue Type description: What type of issue would you like to report? multiple: false options: - Bug - Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type:
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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/experimental/next_pluggable_device/BUILD
"@com_google_absl//absl/strings", "@com_google_absl//absl/time", "@com_google_absl//absl/types:span", "@local_tsl//tsl/distributed_runtime/coordination:coordination_service_agent", "@local_xla//xla/pjrt:pjrt_c_api_client", "@local_xla//xla/pjrt:pjrt_client", "@local_xla//xla/pjrt/c:pjrt_c_api_hdrs", "@local_xla//xla/pjrt/c:pjrt_c_api_helpers", ], )
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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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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
name: TensorFlow Lite in Play Services issue about: Use this template for issues with TensorFlow Lite in Google Play Services labels: 'comp:lite-in-play-services' --- **System information** - Android Device information (use `adb shell getprop ro.build.fingerprint` if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`):
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ci/official/envs/nightly_upload
# pretend the path is a directory. # 1. Upload nightlies TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/nightly/" TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse"
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tensorflow/c/eager/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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