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tensorflow/c/eager/c_api.h
// Execute the operation defined by 'op' and return handles to computed // tensors in `retvals`. // // 'retvals' must point to a pre-allocated array of TFE_TensorHandle* and // '*num_retvals' should be set to the size of this array. It is an error if // the size of 'retvals' is less than the number of outputs. This call sets // *num_retvals to the number of outputs. //
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Column 1 is left only, Column 2 is right only, Column 3 is shared lines # Select lines unique to actual_licenses, i.e. extra licenses. comm -1 -3 $BATS_TEST_TMPDIR/expected_licenses $BATS_TEST_TMPDIR/actual_licenses | grep -v -f $BATS_TEST_TMPDIR/allowed_to_be_extra > $BATS_TEST_TMPDIR/actual_extra_licenses || true # Select lines unique to expected_licenses, i.e. missing licenses
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README.md
[TensorFlow tutorials](https://www.tensorflow.org/tutorials/). ## Contribution guidelines **If you want to contribute to TensorFlow, be sure to review the [contribution guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.** **We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for
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tensorflow/c/eager/parallel_device/parallel_device.cc
return result; } // Used as an argument to TFE_NewCustomDeviceTensorHandle, indicating how // ParallelTensors wrapped in TFE_TensorHandles should be cleaned up once their // reference counts drop to zero. void ParallelTensorDeallocator(void* data) { delete reinterpret_cast<ParallelTensor*>(data); } // Used as an argument to TFE_NewCustomDeviceTensorHandle, for computing the
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// live until `Join` finishes. If `is_async=true` it must live until `Join` is // followed by `TFE_ContextAsyncWait` to clear pending operations. It will be // used to cancel all other operations if any fails. // // Set step_id to configure the step id used for rendezvous creation. step id // of value -1 is reserved for global rendezvous and should not be set here.
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
public: void operator()(TFE_Op* to_delete) const { TFE_DeleteOp(to_delete); } }; using OpPtr = std::unique_ptr<TFE_Op, OpDeleter>; class StatusDeleter { public: void operator()(TF_Status* to_delete) const { TF_DeleteStatus(to_delete); } }; using StatusPtr = std::unique_ptr<TF_Status, StatusDeleter>; class ExecutorDeleter { public: void operator()(TFE_Executor* to_delete) const {
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ci/official/utilities/extract_resultstore_links.py
help='Path to a build log.') parser.add_argument('--xml-out-path', required=False, help='Path to which to output ' 'the JUnit-based XML with ResultStore links.') parser.add_argument('--print', action='store_true', dest='print', default=False, help='Whether to print out a short summary with the '
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tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
// Create a variable handle (uninitialized to start) placed on the parallel // device. std::function<void(Variable*)> variable_deleter = [&](Variable* to_delete) { to_delete->Destroy(context, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); delete to_delete; }; std::unique_ptr<Variable, decltype(variable_deleter)> variable(
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tensorflow/c/c_api_function.cc
control_output_nodes.push_back(&control_outputs[i]->node); } // Do the actual function creation. DCHECK(append_hash_to_fn_name <= 1); tensorflow::FunctionDef fdef; status->status = tensorflow::GraphToFunctionDef( fn_body->graph, fn_name, append_hash_to_fn_name != 0, /*set_stateful_from_nodes=*/true, /*copy_placeholder_attrs_from_nodes=*/true, body_nodes, input_tensors,
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tensorflow/c/eager/c_api_distributed_test.cc
private: bool first_call_ = true; }; // After the graph pass is registered, it takes effect globally and can affect // other test cases. Define a static variable to switch it on and off. bool GraphErrorInjectionPass::enabled_ = false; // Test to ensure that a registered graph optimization pass is only executed // once (i.e., on the main function side) in running distributed functions.
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