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718698a32a
* add yolov5cls * fixed bugs * fixed bugs * fixed preprocess bug * add yolov5cls readme * deal with comments * Add YOLOv5Cls Note * add yolov5cls test * add rvm support * support rvm model * add rvm demo * fixed bugs * add rvm readme * add TRT support * add trt support * add rvm test * add EXPORT.md * rename export.md * rm poros doxyen * deal with comments * deal with comments * add rvm video_mode note Co-authored-by: Jason <jiangjiajun@baidu.com> Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
80 lines
2.3 KiB
C++
Executable File
80 lines
2.3 KiB
C++
Executable File
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <string>
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//from pytorch
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#include "torch/script.h"
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#include "torch/csrc/jit/ir/ir.h"
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#include "ATen/core/interned_strings.h"
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#include "plugin_create.h"
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namespace baidu {
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namespace mirana {
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namespace poros {
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struct PorosGraph {
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torch::jit::Graph* graph = NULL;
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torch::jit::Node* node = NULL;
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};
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typedef uint64_t EngineID;
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class IEngine : public IPlugin, public torch::CustomClassHolder{
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public:
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virtual ~IEngine() {}
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/**
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* @brief init, initialization must be successful if the init is successful
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* @return int
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* @retval 0 => success, <0 => fail
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**/
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virtual int init() = 0;
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/**
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* @brief During compilation, the subgraph is converted into the graph structure of the corresponding engine and stored inside the engine, so that the execute_engine at runtime can be called
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* @param [in] sub_graph : subgraph
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* @return [res]int
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* @retval 0 => success, <0 => fail
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**/
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virtual int transform(const PorosGraph& sub_graph) = 0;
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/**
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* @brief Subgraph execution period logic
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* @param [in] inputs : input tensor
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* @return [res] output tensor
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**/
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virtual std::vector<at::Tensor> excute_engine(const std::vector<at::Tensor>& inputs) = 0;
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virtual void register_module_attribute(const std::string& name, torch::jit::Module& module) = 0;
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// Logo
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virtual const std::string who_am_i() = 0;
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// Whether the node is supported by the current engine
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bool is_node_supported(const torch::jit::Node* node);
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public:
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std::pair<uint64_t, uint64_t> _num_io; // Number of input/output parameters
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EngineID _id;
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};
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} // namespace poros
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} // namespace mirana
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} // namespace baidu
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