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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/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 "+" $BATS_FILE_TMPDIR/changed_files) --keep_going
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tensorflow/c/c_api_test.cc
TF_Operation* plusB = Add(plus2, b, graph, s, "plusB"); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); // Setup a session and a partial run handle. The partial run will allow // computation of A + 2 + B in two phases (calls to TF_SessionPRun): // 1. Feed A and get (A+2) // 2. Feed B and get (A+2)+B TF_SessionOptions* opts = TF_NewSessionOptions();
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ci/official/requirements_updater/README.md
name = "requirements_3_11", extra_args = ["--allow-unsafe"], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_11.txt", ) ``` ``` compile_pip_requirements_3_11( name = "requirements_3_11_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly",
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.github/workflows/update-nightly.yml
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ on: workflow_dispatch: # Allow manual triggers schedule: - cron: 0 4 * * * # 4am UTC is 9pm PDT and 8pm PST name: Set nightly branch to master HEAD permissions: {} jobs: master-to-nightly:
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tensorflow/c/c_api.cc
// -------------------------------------------------------------------------- TF_SessionOptions* TF_NewSessionOptions() { TF_SessionOptions* out = new TF_SessionOptions; // Disable optimizations for static graph to allow calls to Session::Extend. out->options.config.mutable_experimental() ->set_disable_optimize_for_static_graph(true); return out; } void TF_DeleteSessionOptions(TF_SessionOptions* opt) { delete opt; }
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
make install DESTDIR=${TARGET} cd .. # Symlinks in the binary distribution are set up for installation in /usr, we # need to fix up all the links to stay within /${TARGET}. /fixlinks.sh "/${TARGET}" # Patch to allow non-glibc 2.12 compatible builds to work. sed -i '54i#define TCP_USER_TIMEOUT 18' "/${TARGET}/usr/include/netinet/tcp.h" # Download specific version of libstdc++ shared library based on the value of # the `VERSION` parameter
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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
For example, if an attacker were to upload a malicious video file, they could potentially exploit a vulnerability in the TensorFlow code that handles videos, which could allow them to execute arbitrary code on the system running TensorFlow. It is important to keep TensorFlow up to date with the latest security patches and follow the sandboxing guideline above to protect against these types of
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RELEASE.md
[FTRL paper](https://research.google.com/pubs/archive/41159.pdf). * `Optimizer.__init__` now accepts a `gradient_aggregator` to allow for customization of how gradients are aggregated across devices, as well as `gradients_transformers` to allow for custom gradient transformations (such as gradient clipping). * Improvements to Keras preprocessing layers:
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