Files
FastDeploy/fastdeploy/backends/poros/common/poros_module.h
WJJ1995 f5c94e5471 Support Poros Backend (#188)
* 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
2022-10-17 15:28:12 +08:00

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1.7 KiB
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Executable File

// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include <string>
#include "torch/script.h"
#include "torch/csrc/jit/jit_log.h"
// #include "ATen/Context.h"
namespace baidu {
namespace mirana {
namespace poros {
enum Device : int8_t {
GPU = 0,
CPU,
XPU,
UNKNOW
};
struct PorosOptions {
Device device = GPU;
bool debug = false;
bool use_fp16 = false;
bool is_dynamic = false;
bool long_to_int = true;
uint64_t max_workspace_size = 1ULL << 30;
int32_t device_id = -1;
int32_t unconst_ops_thres = -1;
bool use_nvidia_tf32 = false;
};
class PorosModule : public torch::jit::Module {
public:
PorosModule(torch::jit::Module module) : torch::jit::Module(module) {
}
~PorosModule() = default;
void to_device(Device device){
_options.device = device;
}
//c10::IValue forward(std::vector<c10::IValue> inputs);
//void save(const std::string& filename);
public:
PorosOptions _options;
};
//via porosmodule.save
std::unique_ptr<PorosModule> Load(const std::string& filename, const PorosOptions& options);
} // namespace poros
} // namespace mirana
} // namespace baidu