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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# in TensorFlow are manually enumerated rather than generated automatically. do_external_licenses_check(){ BUILD_TARGET="$1" LICENSES_TARGET="$2" # grep patterns for targets which are allowed to be missing from the licenses cat > $BATS_TEST_TMPDIR/allowed_to_be_missing <<EOF @absl_py//absl @bazel_tools//platforms @bazel_tools//third_party/ @bazel_tools//tools @local @com_google_absl//absl @org_tensorflow//
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ci/official/utilities/code_check_full.bats
# in TensorFlow are manually enumerated rather than generated automatically. do_external_licenses_check(){ BUILD_TARGET="$1" LICENSES_TARGET="$2" # grep patterns for targets which are allowed to be missing from the licenses cat > $BATS_TEST_TMPDIR/allowed_to_be_missing <<EOF @absl_py//absl @bazel_tools//platforms @bazel_tools//third_party/ @bazel_tools//tools @local @com_google_absl//absl @pybind11_abseil//pybind11_abseil
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ci/official/requirements_updater/BUILD.bazel
compile_pip_requirements_3_9( name = "requirements_3_9", extra_args = ["--allow-unsafe"], requirements_in = REQUIREMENTS_FILE_NAME, requirements_txt = "requirements_lock_3_9.txt", ) compile_pip_requirements_3_10( name = "requirements_3_10", extra_args = ["--allow-unsafe"], requirements_in = REQUIREMENTS_FILE_NAME, requirements_txt = "requirements_lock_3_10.txt", )
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ci/official/wheel_test/README.md
Packages are imported one by one in alphabetical order during runtime. The test doesn't identify package's order-dependent issues; for instance, importing "tf.foo" followed by "tf.bar" won't reveal that "tf.bar" depends on "tf.foo" being imported first. The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2
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ci/official/utilities/code_check_changed_files.bats
setup_file() { bazel version # Start the bazel server # Fixes "fatal: detected dubious ownership in repository" for Docker. git config --system --add safe.directory '*' git config --system protocol.file.allow always # Note that you could generate a list of all the affected targets with e.g.: # bazel query $(paste -sd "+" $BATS_FILE_TMPDIR/changed_files) --keep_going
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ci/official/requirements_updater/README.md
name = "requirements_3_11", extra_args = ["--allow-unsafe"], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_11.txt", ) ``` ``` compile_pip_requirements_3_11( name = "requirements_3_11_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly",
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RELEASE.md
* New `tf.data.Dataset.reduce()` API allows users to reduce a finite dataset to a single element using a user-provided reduce function. * New `tf.data.Dataset.window()` API allows users to create finite windows of input dataset; when combined with the `tf.data.Dataset.reduce()` API, this allows users to implement customized batching.
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CONTRIBUTING.md
* If you work for a company that wants to allow you to contribute your work, then you'll need to sign a [corporate CLA](https://code.google.com/legal/corporate-cla-v1.0.html).
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SECURITY.md
resources in many different ways and solutions exist to prevent this from happening (e.g., rate limits, ACLs, monitors to restart broken servers). ### Model sharing If the multitenant design allows sharing models, make sure that tenants and users are aware of the security risks detailed here and that they are going to be practically running code provided by other users. Currently there are no good
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tensorflow/BUILD
visibility = ["//visibility:public"], ) # By default, XLA GPU is compiled into tensorflow when building with # --config=cuda even when `with_xla_support` is false. The config setting # here allows us to override the behavior if needed. config_setting( name = "no_xla_deps_in_cuda", define_values = {"no_xla_deps_in_cuda": "true"}, visibility = ["//visibility:public"], )
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