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e98dd95446
Summary: `SerialGraphExecutor` inherits from `GraphExecutorBase` and executes all nodes in the graph in a serial manner Test Plan: CI Rollback Plan: Differential Revision: D76917966 Pull Request resolved: https://github.com/pytorch/pytorch/pull/156459 Approved by: https://github.com/zhxchen17, https://github.com/jingsh
24 lines
634 B
C++
24 lines
634 B
C++
#pragma once
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#include <torch/nativert/executor/GraphExecutorBase.h>
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namespace torch::nativert {
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class SerialGraphExecutor : public GraphExecutorBase {
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public:
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SerialGraphExecutor(
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const Graph& graph,
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std::vector<std::unique_ptr<OpKernel>> nodeKernels,
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const ExecutorConfig& executorConfig)
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: GraphExecutorBase(graph, std::move(nodeKernels), executorConfig) {}
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std::vector<c10::IValue> execute(
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ExecutionFrame& frame,
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std::vector<c10::IValue> inputs) override;
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std::vector<c10::IValue> executeWithPrefilledFrame(
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ExecutionFrame& frame) override;
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};
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} // namespace torch::nativert
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