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CONTRIBUTING.md
well as externally on GitHub. In a graphical form, the entire lifetime of a PR looks like ![image](https://github.com/tensorflow/tensorflow/assets/52792999/3eea4ca5-daa0-4570-b0b5-2a2b03a724a3) ### Contributor License Agreements We'd love to accept your patches! Before we can take them, we have to jump a couple of legal hurdles.
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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
file for testing, such as: * Ensuring the entire API is importable * Testing downstream projects against the wheel Ensure you have Bazel installed and accessible from your command line. These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --copt="-mtune=generic" --copt="-march=armv8-a" --copt="-O3" # Test-related settings below this point. test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just
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ci/official/README.md
against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions: ```bash cd tensorflow-git-dir # Here is a single-line example of running a script on Linux to build the # GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and # a local build cache: TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh
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RELEASE.md
construct the layer with LSTM(recurrent_activation='hard_sigmoid') to fallback to 1.x behavior. * TensorFlow Lite * Move from `tensorflow/contrib/lite` to `tensorflow/lite`. * Add experimental Java API for injecting TensorFlow Lite delegates * Add support for strings in TensorFlow Lite Java API. * `tf.contrib`: * Add Apache Ignite Filesystem plugin to support accessing Apache IGFS.
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LICENSE
Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
//tensorflow/python/util:nest_test_main_lib //tensorflow/lite/experimental/examples/lstm:rnn_cell //tensorflow/lite/experimental/examples/lstm:rnn_cell.py //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py //tensorflow/lite/python:interpreter //tensorflow/lite/python:interpreter_test //tensorflow/lite/python:interpreter.py
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --copt="-mtune=generic" --copt="-march=armv8-a" --copt="-O3" # Test-related settings below this point. test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just
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ci/official/utilities/code_check_full.bats
//tensorflow/python/util:nest_test_main_lib //tensorflow/lite/experimental/examples/lstm:rnn_cell //tensorflow/lite/experimental/examples/lstm:rnn_cell.py //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py //tensorflow/lite/python:interpreter //tensorflow/lite/python:interpreter_test //tensorflow/lite/python:interpreter.py
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