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https://github.com/PaddlePaddle/FastDeploy.git
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* Add poros backend * Add torch lib * Add python3 lib * set c++ 14 for poros * fixed bugs * fixed grammer bugs * fixed grammer bugs * fixed code bugs * fixed code bugs * fixed CreatePorosValue bug * Add AtType2String for Log * fixed trt_option * fixed poros.cmake path * fixed grammer bug * fixed grammer bug * fixed ambiguous reference * fixed ambiguous reference * fixed reference error * fixed include files * rm ENABLE_TRT_BACKEND in poros * update CMakeLists.txt * fixed CMakeLists.txt * Add libtorch.so in CMakeLists.txt * Fixed CMakeLists.txt * Fixed CMakeLists.txt * Fixed copy bug * Fixed copy bug * Fixed copy bug * Fixed Cmake * Fixed Cmake * debug * debug * debug * debug * debug * debug * debug utils * debug utils * copy to cpu * rm log info * test share mem * test share mem * test share mem * test multi outputs * test multi outputs * test multi outputs * test multi outputs * test multi outputs * test multi outputs * test multi outputs * time cost * time cost * fixed bug * time collect * mem copy * mem copy * rm time log * rm share mem * fixed multi inputs bug * add set_input_dtypes func * add SetInputDtypes * fixed bug * fixed bug * fixed prewarm data order * debug * debug * debug * debug * debug * debug * debug * debug * debug * debug * debug * fixed bug * Add compile func * Add compile func * Add compile func * Add is_dynamic option * Add is_dynamic option * Add is_dynamic option * Add is_dynamic option * rm infer log * add cuda11.6 poros lib * fixed bug * fixed bug * fixed multi outputs * fixed multi outputs * fixed multi outputs * fixed multi outputs * fixed multi outputs * fixed multi outputs * fixed multi outputs * fixed multi outputs * fixed multi outputs * fixed multi outputs * fixed multi outputs * rm logs * test * test * test * add test log * add test log * add test log * add test log * support cpu * support cpu * support cpu * support cpu * support member variable definition * rm useless log * fixed name * resolve conflict * resolve conflict * resolve conflict * fixed cmake * add GetInputInfos&GetOutputInfos * add GetInputInfos&GetOutputInfos * fixed bug * fixed runtime.py * add compile func * add np * deal with comments * rm to_inter func * add property
68 lines
1.7 KiB
C++
Executable File
68 lines
1.7 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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#include "torch/script.h"
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#include "torch/csrc/jit/jit_log.h"
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// #include "ATen/Context.h"
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namespace baidu {
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namespace mirana {
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namespace poros {
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enum Device : int8_t {
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GPU = 0,
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CPU,
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XPU,
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UNKNOW
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};
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struct PorosOptions {
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Device device = GPU;
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bool debug = false;
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bool use_fp16 = false;
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bool is_dynamic = false;
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bool long_to_int = true;
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uint64_t max_workspace_size = 1ULL << 30;
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int32_t device_id = -1;
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int32_t unconst_ops_thres = -1;
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bool use_nvidia_tf32 = false;
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};
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class PorosModule : public torch::jit::Module {
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public:
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PorosModule(torch::jit::Module module) : torch::jit::Module(module) {
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}
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~PorosModule() = default;
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void to_device(Device device){
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_options.device = device;
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}
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//c10::IValue forward(std::vector<c10::IValue> inputs);
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//void save(const std::string& filename);
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public:
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PorosOptions _options;
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};
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//via porosmodule.save
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std::unique_ptr<PorosModule> Load(const std::string& filename, const PorosOptions& options);
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} // namespace poros
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} // namespace mirana
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} // namespace baidu
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