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ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# and also repacks libtensorflow-src.jar into a standardized format. # Helper function to copy a srcjar after moving any source files # directly under the root to the "maven-style" src/main/java layout # # Source files generated by annotation processors appear directly # under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. #
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ci/official/utilities/repack_libtensorflow.sh
# and also repacks libtensorflow-src.jar into a standardized format. # Helper function to copy a srcjar after moving any source files # directly under the root to the "maven-style" src/main/java layout # # Source files generated by annotation processors appear directly # under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. #
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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/wheel_test/README.md
[requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see [requirements updater readme](https://github.com/tensorflow/tensorflow/blob/master/ci/official/requirements_updater/README.md) ### Prerequisites for Local Testing
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ci/official/debug_tfci.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # This script dumps some information about the environment. It's most useful # for verifying changes to the TFCI scripts system, and most users won't need # to interact with it at all. source "${BASH_SOURCE%/*}/utilities/setup.sh" echo "==TFCI== env outside of tfrun:"
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CODE_OF_CONDUCT.md
Violations of the Code of Conduct can occur in any setting, even those unrelated to the project. We will only consider complaints about conduct that has occurred within one year of the report. ## Enforcement
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tensorflow/api_template.__init__.py
# API IMPORTS PLACEHOLDER # WRAPPER_PLACEHOLDER # Make sure directory containing top level submodules is in # the __path__ so that "from tensorflow.foo import bar" works. # We're using bitwise, but there's nothing special about that. _API_MODULE = _sys.modules[__name__].bitwise _tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__)) _current_module = _sys.modules[__name__] if not hasattr(_current_module, "__path__"):
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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
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
--- name: TensorFlow Lite Converter Issue about: Use this template for reporting issues during model conversion to TFLite labels: 'TFLiteConverter' --- ### 1. System information - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installation (pip package or built from source): - TensorFlow library (version, if pip package or github SHA, if built from source): ### 2. Code
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tensorflow/c/eager/c_api_unified_experimental.h
// ----------------------------------------------------------------------------- // Core APIs // ----------------------------------------------------------------------------- // A TF_ExecutionContext stores knowledge about how to execute an operation. // E.g. it could know whether we're in eager mode or graph mode, keeps track // of gradient tapes, etc. typedef struct TF_ExecutionContext TF_ExecutionContext;
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