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ci/official/utilities/code_check_changed_files.bats
# Only shows Added, Changed, Modified, Renamed, and Type-changed files if [[ "$(git rev-parse --abbrev-ref HEAD)" == "pull_branch" ]]; then # TF's CI runs 'git fetch origin "pull/PR#/merge:pull_branch"' # To get the as-merged branch during the CI tests git diff --diff-filter ACMRT --name-only pull_branch^ pull_branch > $BATS_FILE_TMPDIR/changed_files else
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tensorflow/c/experimental/gradients/nn_grad_test.cc
TF_RETURN_IF_ERROR(ops::SparseSoftmaxCrossEntropyWithLogits( ctx, inputs[0], inputs[1], &loss, &backprop, "SparseSoftmaxCrossEntropyWithLogits")); // `gradient_checker` only works with model that returns only 1 tensor. // Although, `ops::SparseSoftmaxCrossEntropyWithLogits` returns 2 tensors, the // second tensor isn't needed for computing gradient so we could safely drop // it. outputs[0] = loss;
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ci/official/envs/rbe
# TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since # it enables a derived --config setting. If RBE is not available (i.e. there # is no --config setting), bazel would fail and quit. This script does a quick
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.github/workflows/arm-ci.yml
name: ARM CI on: push: branches: - master - r2.** permissions: contents: read jobs: build: # Don't do this in forks, and if labeled, only for 'kokoro:force-run' if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run'))
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tensorflow/c/eager/parallel_device/BUILD
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup( name = "lib_headers",
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tensorflow/c/eager/c_api_unified_experimental.cc
} // end namespace tensorflow // ============================================================================= // Public C API entry points // // These are only the generic entry points for the C API. This file does not // have any visibility into the graph/eager implementation and is only providing // C bindings to the abstract classes defined in the // c_api_unified_experimental_internal.h header. //
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.github/workflows/osv-scanner-scheduled.yml
name: OSV-Scanner Scheduled Scan on: schedule: - cron: 0 4 * * 1 permissions: # Require writing security events to upload SARIF file to security tab security-events: write # Only need to read contents contents: read jobs: scan-scheduled: if: github.repository == 'tensorflow/tensorflow' uses: "google/osv-scanner-action/.github/workflows/osv-scanner-reusable.yml@v1.6.2-beta1"
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tensorflow/c/eager/immediate_execution_distributed_manager.h
bool clear_existing_contexts = false) = 0; // Initializes context for the local worker and no contexts will be created // for remote workers. Currently this only works for resetting context. // TODO(b/289445025): Consider removing this when we find a proper fix. virtual Status InitializeLocalOnlyContext(const ServerDef& server_def,
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.github/workflows/arm-cd.yml
- name: Upload pip wheel to PyPI if: github.event_name == 'schedule' || (github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v2')) # only if it is a scheduled nightly or tagged shell: bash
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tensorflow/c/experimental/gradients/nn_grad.cc
} ~ReluGradientFunction() override { for (auto output : forward_outputs_) { if (output) { output->Unref(); } } } private: // TODO(b/174778737): Only hold needed outputs. vector<AbstractTensorHandle*> forward_outputs_; }; Status BroadcastMul(AbstractContext* ctx, AbstractTensorHandle* vec, AbstractTensorHandle* mat,
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