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requirements_lock_3_10.txt
dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> 1712896733 +0000
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requirements_lock_3_11.txt
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requirements_lock_3_12.txt
dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> 1712896733 +0000
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requirements_lock_3_9.txt
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ci/official/requirements_updater/updater.sh
//:requirements_"$VERSION".update sed -i '/^#/d' requirements_lock_"$VERSION".txt mv requirements_lock_"$VERSION".txt ../../../requirements_lock_"$VERSION".txt done
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.github/workflows/osv-scanner-scheduled.yml
with: scan-args: |- --lockfile=requirements.txt:./requirements_lock_3_9.txt --lockfile=requirements.txt:./requirements_lock_3_10.txt --lockfile=requirements.txt:./requirements_lock_3_11.txt --lockfile=requirements.txt:./requirements_lock_3_12.txt --lockfile=requirements.txt:./ci/official/containers/linux_arm64/devel.requirements.txt
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tensorflow/c/c_api.cc
bool ExtendSessionGraphHelper(TF_Session* session, TF_Status* status) { if (session->graph != nullptr) { // Take the graph lock before the session lock to avoid deadlock. This is // safe since session->graph does not change. session->graph->mu.lock(); mutex_lock session_lock(session->mu); const Graph& graph = session->graph->graph; const string& mutation_warning = session->graph->sessions[session];
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
block->data.resize(block_size_, 0); int64_t bytes_transferred; bytes_transferred = block_fetcher_(key.first, key.second, block_size_, block->data.data(), status); block->mu.Lock(); // Reacquire the lock immediately afterwards if (TF_GetCode(status) == TF_OK) { block->data.resize(bytes_transferred, 0);
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ci/official/requirements_updater/BUILD.bazel
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", ) compile_pip_requirements_3_11( name = "requirements_3_11",
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ci/official/wheel_test/README.md
to the actual TensorFlow wheel. 3. Creates a `requirements_lock_<python_version>.txt` file. 4. Updates the `requirements_lock_<python_version>.txt` file using a Bazel command. 5. Moves the updated `requirements_lock_<python_version>.txt` file to the `../wheel_test/` directory. ### How it Works in the Presubmit Job `_requirements_lock` files will be generated by the presubmit job. A detailed
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