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ISSUES.md
should be sought on Stack Overflow or other non-GitHub channels. It helps us to
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.github/workflows/issue-on-pr-rollback.yml
push: branches: - master permissions: {} jobs: create-issue-on-pr-rollback: runs-on: ubuntu-latest permissions: contents: read issues: write pull-requests: read if: | github.repository == 'tensorflow/tensorflow' && startsWith(github.event.head_commit.message, 'Rollback of PR #') steps: - name: Checkout repo
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tensorflow/c/eager/c_api_remote_test_util.h
#ifndef TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ #define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ // Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // which creates a remote input, to simulate a scenario that the remote input // is not ready when we start running an op or a function. void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func,
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.github/ISSUE_TEMPLATE/tflite-other.md
Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. - type: markdown
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ci/official/requirements_updater/requirements.in
# For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies grpcio >= 1.24.3, < 2.0 portpicker == 1.6.0 scipy == 1.11.3 requests == 2.31.0 packaging==23.2 setuptools==68.2.2
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.github/workflows/trusted-partners.yml
name: Trusted Partner PR on: pull_request_target: permissions: contents: read jobs: assign-partner-tags: runs-on: ubuntu-latest permissions: # Needed to attach tags into the PR issues: write contents: write pull-requests: write if: | github.event.pull_request.draft == false && github.event.sender.type == 'User' steps:
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
if (max_age_ == 0) { return compute_func(key, value, status); } // Note: we hold onto mu_ for the rest of this function. In practice, this // is okay, as stat requests are typically fast, and concurrent requests are // often for the same file. Future work can split this up into one lock per // key if this proves to be a significant performance bottleneck. absl::MutexLock lock(&mu_);
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.github/workflows/sigbuild-docker-presubmit.yml
runs-on: ubuntu-latest strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] permissions: contents: read pull-requests: write steps: - name: Delete unnecessary tools folder run: | df -h rm -rf /opt/hostedtoolcache df -h - name: Checkout
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tensorflow/c/eager/c_api_remote_test_util.cc
TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle(ctx); std::vector<TFE_TensorHandle*> handles_task0; if (heavy_load_on_streaming_rpc) { // Send 50 tensor copy requests to simulate that there have been some RPC // requests been enqueued. for (int i = 0; i < 50; ++i) { handles_task0.push_back(TestMatrixTensorHandle(ctx)); } }
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.github/workflows/stale-issues.yml
permissions: contents: read jobs: close-issues: # Don't do this in forks if: github.repository == 'tensorflow/tensorflow' runs-on: ubuntu-latest permissions: issues: write pull-requests: write steps: - name: Awaiting response issues uses: actions/stale@6f05e4244c9a0b2ed3401882b05d701dd0a7289b # v7.0.0 with:
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