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tensorflow/c/eager/c_api_experimental.h
// Eager Executor APIs. typedef struct TFE_Executor TFE_Executor; // Creates a new eager Executor. Nodes in one executor are guaranteed to be // executed in sequence. Assigning nodes to different executors allows executing // nodes in parallel. // in_flight_nodes_limit: when is_async is true, this value controls the // maximum number of in flight async nodes. Enqueuing of additional async ops
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/c_api.h
// use them in new code. // - Every node in the function's body must have all of its inputs (including // control inputs). In other words, for every node in the body, each input // must be either listed in `inputs` or must come from another node in // the body. In particular, it is an error to have a control edge going from // a node outside of the body into a node in the body. This applies to control
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/c_api_test_util.h
// Return an allreduce op adding up input tensor `in` from `group_size` workers. TFE_Op* AllReduceOp(TFE_Context* ctx, TFE_TensorHandle* in, int group_size); // Return a SendOp op `op_name` with send input tensor `in` and attributes // `send_device`, `recv_device`, and `send_device_incarnation` set. TFE_Op* SendOp(TFE_Context* ctx, TFE_TensorHandle* in, const std::string& op_name, const std::string& send_device,
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tensorflow/c/eager/tape.h
} Gradient* in_grad = in_grads[grad_index]; if (in_grad != nullptr) { // ComputeGradient steals a reference vspace_.MarkAsResult(in_grad); } used_in_grads.push_back(in_grad); } } return tape->ComputeGradient(vspace_, targets, sources, sources_that_are_targets, used_in_grads,
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tensorflow/c/eager/abstract_function.h
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/eager/immediate_execution_distributed_manager.h
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/c_test.c
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/eager/graph_function.h
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/eager/immediate_execution_context.h
// in current TF runtime. For tfrt, it is used by fallback op handler. virtual void StartStep() = 0; // Destroy the step resource container for a training step. virtual void EndStep() = 0; // Return the Eager Executor for current thread. Please note that Eager // Executor is only used in current TF but not in TFRT. virtual EagerExecutor& Executor() = 0;
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tensorflow/c/experimental/filesystem/modular_filesystem.h
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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