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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Use lld as the linker build --linkopt="-fuse-ld=lld" build --linkopt="-lm" build --linkopt="-Wl,--undefined-version"
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.github/workflows/arm-ci-extended.yml
# limitations under the License. # ============================================================================== name: ARM CI Extended on: push: tags: - v2.** schedule: - cron: '0 4 * * *' permissions: contents: read jobs: build: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: [self-hosted, linux, ARM64]
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ci/official/wheel_test/test_import_api_packages.py
"""Import API packages test. This is a Python test that verifies whether API v2 packages can be imported from the current build or not. It uses the `_api/v2/api_packages.txt` file from the local wheel file. The `_api/v2/api_packages.txt` file is created during the process of generating TensorFlow API v2 init files and is stored in the wheel file after the build. See README.md file for "how to run" instruction.
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 13 15:52:07 GMT 2023 - 3.3K bytes - Viewed (1) -
tensorflow/api_template_v1.__init__.py
# Hook external TensorFlow modules. # Import compat before trying to import summary from tensorboard, so that # reexport_tf_summary can get compat from sys.modules. Only needed if using # lazy loading. _current_module.compat.v2 # pylint: disable=pointless-statement # Load tensorflow-io-gcs-filesystem if enabled if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
RELEASE.md
* (since v2.7) `tf.math.segment_mean` * (since v2.7) `tf.math.segment_prod` * (since v2.7) `tf.math.segment_sum` * (since v2.7) `tf.math.unsorted_segment_mean` * (since v2.7) `tf.math.unsorted_segment_prod` * (since v2.7) `tf.math.unsorted_segment_sum` * (since v2.7) `tf.math.unsorted_segment_sqrt`
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tensorflow/c/eager/gradient_checker_test.cc
absl::Span<AbstractTensorHandle*> outputs) { return ops::Mul(ctx, inputs[0], inputs[1], &outputs[0], "Mul"); } // TODO(vnvo2409): Add more tests from `python/ops/gradient_checker_v2_test.py`. // These tests should not be confused with `[*]_grad_test` which compare the // result of `gradient_checker` and `[*]_grad`. The tests here test the // functionality of `gradient_checker` by comparing the result with expected
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0) -
.github/workflows/sigbuild-docker.yml
- name: Set up Docker Buildx uses: docker/setup-buildx-action@8c0edbc76e98fa90f69d9a2c020dcb50019dc325 # v2.2.1 - name: Login to DockerHub uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a # v2.1.0 with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }} - name: Login to GCR
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SECURITY.md
and follow the sandboxing guideline above to protect against these types of vulnerabilities. ## Security properties of execution modes TensorFlow has several execution modes, with Eager-mode being the default in v2. Eager mode lets users write imperative-style statements that can be easily inspected and debugged and it is intended to be used during the development phase.
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.github/workflows/cffconvert.yml
- name: Check whether the citation metadata from CITATION.cff is valid uses: citation-file-format/cffconvert-github-action@4cf11baa70a673bfdf9dad0acc7ee33b3f4b6084 # v2.0.0 with:
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.github/workflows/sigbuild-docker-branch.yml
- name: Set up Docker Buildx uses: docker/setup-buildx-action@8c0edbc76e98fa90f69d9a2c020dcb50019dc325 # v2.2.1 - name: Login to DockerHub uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a # v2.1.0 with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }} - name: Login to GCR
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