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.github/workflows/stale-issues.yml
exempt-pr-labels: "override-stale" #Limit the No. of API calls in one run default value is 30. operations-per-run: 1000 days-before-issue-stale: 7 days-before-issue-close: 7 stale-issue-label: "stale" # reason for closed the issue default value is not_planned close-issue-reason: completed
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CONTRIBUTING.md
# Contributing guidelines ## Pull Request Checklist Before sending your pull requests, make sure you do the following: - Read the [contributing guidelines](CONTRIBUTING.md). - Read the [Code of Conduct](CODE_OF_CONDUCT.md). - Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the
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ci/official/utilities/setup_macos.sh
# we can pull in the latest changes. cd /Users/kbuilder/.pyenv/ && git reset --hard HEAD && git pull && cd - fi # "TFCI_MACOS_PYENV_INSTALL_ENABLE" controls whether to use Pyenv to install # the Python version set in "TFCI_PYTHON_VERSION" and use it as default. # We enable this in the nightly and release builds because before uploading the
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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); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
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ci/official/requirements_updater/README.md
### How to run the updater ``` bash updater.sh ``` ## How to add a new Python version Note: Updating the [rules-python](https://github.com/bazelbuild/rules_python/releases) version may be required before going through the steps below. This is due to the new Python versions becoming available through `rules-python`. \ See [here](https://github.com/tensorflow/tensorflow/commit/f91457f258fdd78f693044a57efa63a38335d1de), and
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tensorflow/c/eager/c_api_unified_experimental_graph.cc
return errors::FailedPrecondition( "SetOpName called on already built op."); } if (op_type_.empty()) { return errors::FailedPrecondition( "GraphOperation::Reset must be called before calling SetOpName."); } // TODO(b/145674566): We use Graph::NewName to get a unique name here but // this may not be consistent with python's naming policy. mutex_lock l(g_->mu);
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tensorflow/api_template_v1.__init__.py
if not hasattr(_current_module, "__path__"): __path__ = [_tf_api_dir] elif _tf_api_dir not in __path__: __path__.append(_tf_api_dir) # Hook external TensorFlow modules. # Import compat before trying to import summary from tensorboard, so that # reexport_tf_summary can get compat from sys.modules. Only needed if using # lazy loading. _current_module.compat.v2 # pylint: disable=pointless-statement
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
echo "# Size of $TF_WHEEL is $WHEEL_MEGABYTES / $LARGEST_OK_SIZE megabytes." >&3 test "$WHEEL_MEGABYTES" -le "$LARGEST_OK_SIZE" } # Note: this runs before the tests further down the file, so TF is installed in # the venv and the venv is active when those tests run. The venv gets cleaned # up in teardown_file() above. @test "Wheel is installable" { python3 -m venv /tf/venv
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tensorflow/c/c_api.cc
// directly, instead of requiring us to serialize to a GraphDef and // call Session::Extend(). 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;
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tensorflow/c/eager/c_api_experimental.h
bool is_async, bool enable_streaming_enqueue, int in_flight_nodes_limit); // Deletes the eager Executor without waiting for enqueued nodes. Please call // TFE_ExecutorWaitForAllPendingNodes before calling this API if you want to // make sure all nodes are finished. TF_CAPI_EXPORT extern void TFE_DeleteExecutor(TFE_Executor*); // Returns true if the executor is in async mode.
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