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Follows #133295 Pull Request resolved: https://github.com/pytorch/pytorch/pull/133389 Approved by: https://github.com/Skylion007
45 lines
1.2 KiB
C++
45 lines
1.2 KiB
C++
#pragma once
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#include <torch/csrc/python_headers.h>
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#include <torch/csrc/autograd/engine.h>
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#include <torch/csrc/autograd/function.h>
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bool THPEngine_initModule(PyObject* module);
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namespace torch::autograd::python {
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struct PythonEngine : public Engine {
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static Engine& get_python_engine();
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~PythonEngine() override;
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void thread_init(
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int device,
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const std::shared_ptr<ReadyQueue>& ready_queue,
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bool should_increment) override;
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void thread_on_exception(
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const std::shared_ptr<GraphTask>& graph_task,
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const std::shared_ptr<Node>& fn,
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std::exception& e) override;
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variable_list execute(
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const edge_list& roots,
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const variable_list& inputs,
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bool keep_graph,
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bool create_graph,
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bool accumulate_grad,
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const edge_list& outputs = {}) override;
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c10::intrusive_ptr<at::ivalue::Future> execute_with_graph_task(
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const std::shared_ptr<GraphTask>& graph_task,
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std::shared_ptr<Node> graph_root,
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InputBuffer&& input_buffer) override;
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std::unique_ptr<AnomalyMetadata> make_anomaly_metadata() override;
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std::unique_ptr<SavedVariableHooks> get_default_saved_variable_hooks()
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override;
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private:
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PythonEngine();
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};
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} // namespace torch::autograd::python
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