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ci/official/envs/rbe
# is no --config setting), bazel would fail and quit. This script does a quick # check This script checks for such errors early if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then cat <<EOF ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable. TFCI: $TFCI TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX is "$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX".
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tensorflow/c/c_api_test.cc
TF_Run(session, run_options, nullptr, nullptr, 0, nullptr, nullptr, 0, nullptr, 0, run_metadata, s); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ("Session was not created with a graph before Run()!", string(TF_Message(s))); TF_DeleteBuffer(run_metadata); TF_DeleteBuffer(run_options); TF_DeleteDeprecatedSession(session, s);
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Disable clang extension that rejects type definitions within offsetof. # This was added in clang-16 by https://reviews.llvm.org/D133574. # Can be removed once upb is updated, since a type definition is used within # offset of in the current version of ubp.
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tensorflow/c/c_api.cc
mutex_lock session_lock(it.first->mu); if (it.first->last_num_graph_nodes > op.node.id()) { it.second = strings::StrCat( "Operation '", op.node.DebugString(), "' was changed by ", mutation_type, " after it was run by a session. This mutation will have no effect, " "and will trigger an error in the future. Either don't modify " "nodes after running them or create a new session.");
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tensorflow/c/eager/c_api_experimental.h
// or construct a transformed version, by inspecting the passed `op`. // // TFE_OpGetDevice(op) records the original placement of the operation. It may // be an empty string if no device was explicitly requested, but will // otherwise be the name of this custom device. Ops are placed onto a custom // device if any of their inputs are on that custom device, but custom devices
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RELEASE.md
`instead of graph.proto`. * `ops.NoGradient` was renamed `ops.NotDifferentiable`. `ops.NoGradient` will be removed soon. * `dot.h` / DotGraph was removed (it was an early analysis tool prior to TensorBoard, no longer that useful). It remains in history should someone find the code useful. * re2 / regexp.h was removed from being a public interface of TF. Should users
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.github/workflows/stale-issues.yml
This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. close-issue-message: > This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. days-before-pr-stale: 14 days-before-pr-close: 14
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ci/official/utilities/code_check_full.bats
"@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out cat <<EOF There was a path found connecting //tensorflow/tools/pip_package:wheel to a banned CUDA dependency when '--define framework_shared_object=false' is set. This means that a CUDA target was probably included via an is_static condition, used when targeting platforms like Windows where we build statically instead
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.github/workflows/update-rbe.yml
committer: TensorFlow Release Automation <******@****.***> token: ${{ secrets.JENKINS_TOKEN }} reviewers: mihaimaruseac,learning-to-play,nitins17 body: | This PR was created by a GitHub Actions workflow to update all the SIG Build-based RBE containers to the most recent containers. See:
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tensorflow/c/eager/tape.h
// destructor. However, waiting until the destructor runs loses the memory // efficiency of forward-mode autodiff. Instead, language bindings should call // DeleteGradient as soon as a Tensor which was `Watch`ed or was an output // Tensor passed to Accumulate goes out of scope. // // Not thread-safe. template <typename Gradient, typename BackwardFunction, typename TapeTensor> class ForwardAccumulator { public:
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