lvhan028 36124f6205
Merge sdk (#251)
* check in cmake

* move backend_ops to csrc/backend_ops

* check in preprocess, model, some codebase and their c-apis

* check in CMakeLists.txt

* check in parts of test_csrc

* commit everything else

* add readme

* update core's BUILD_INTERFACE directory

* skip codespell on third_party

* update trt_net and ort_net's CMakeLists

* ignore clion's build directory

* check in pybind11

* add onnx.proto. Remove MMDeploy's dependency on ncnn's source code

* export MMDeployTargets only when MMDEPLOY_BUILD_SDK is ON

* remove useless message

* target include directory is wrong

* change target name from mmdeploy_ppl_net to mmdeploy_pplnn_net

* skip install directory

* update project's cmake

* remove useless code

* set CMAKE_BUILD_TYPE to Release by force if it isn't set by user

* update custom ops CMakeLists

* pass object target's source lists

* fix lint end-of-file

* fix lint: trailing whitespace

* fix codespell hook

* remove bicubic_interpolate to csrc/backend_ops/

* set MMDEPLOY_BUILD_SDK OFF

* change custom ops build command

* add spdlog installation command

* update docs on how to checkout pybind11

* move bicubic_interpolate to backend_ops/tensorrt directory

* remove useless code

* correct cmake

* fix typo

* fix typo

* fix install directory

* correct sdk's readme

* set cub dir when cuda version < 11.0

* change directory where clang-format will apply to

* fix build command

* add .clang-format

* change clang-format style from google to file

* reformat csrc/backend_ops

* format sdk's code

* turn off clang-format for some files

* add -Xcompiler=-fno-gnu-unique

* fix trt topk initialize

* check in config for sdk demo

* update cmake script and csrc's readme

* correct config's path

* add cuda include directory, otherwise compile failed in case of tensorrt8.2

* clang-format onnx2ncnn.cpp

Co-authored-by: zhangli <lzhang329@gmail.com>
Co-authored-by: grimoire <yaoqian@sensetime.com>
2021-12-07 10:57:55 +08:00

76 lines
2.0 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#ifndef MMDEPLOY_TRANSFORM_H
#define MMDEPLOY_TRANSFORM_H
#include "core/device.h"
#include "core/module.h"
#include "core/registry.h"
namespace mmdeploy {
class TransformImpl : public Module {
public:
TransformImpl() = default;
explicit TransformImpl(const Value& args);
~TransformImpl() override = default;
protected:
std::vector<std::string> GetImageFields(const Value& input);
protected:
Device device_;
Stream stream_;
};
class Transform : public Module {
public:
Transform() = default;
explicit Transform(const Value& args);
~Transform() override = default;
const std::string& RuntimePlatform() const { return runtime_platform_; }
protected:
template <typename T>
[[deprecated]]
/*
* We cannot LOG the error message, because WARN/INFO/ERROR causes
* redefinition when building UTs "catch2.hpp" used in UTs has the same LOG
* declaration
*/
std::unique_ptr<T>
Instantiate(const char* transform_type, const Value& args, int version = 0) {
std::unique_ptr<T> impl(nullptr);
auto impl_creator = Registry<T>::Get().GetCreator(specified_platform_, version);
if (nullptr == impl_creator) {
// WARN("cannot find {} implementation on specific platform {} ",
// transform_type, specified_platform_);
for (auto& name : candidate_platforms_) {
impl_creator = Registry<T>::Get().GetCreator(name);
if (impl_creator) {
// INFO("fallback {} implementation to platform {}", transform_type,
// name);
break;
}
}
}
if (nullptr == impl_creator) {
// ERROR("cannot find {} implementation on any registered platform ",
// transform_type);
return nullptr;
} else {
return impl_creator->Create(args);
}
}
protected:
std::string specified_platform_;
std::string runtime_platform_;
std::vector<std::string> candidate_platforms_;
};
} // namespace mmdeploy
#endif // MMDEPLOY_TRANSFORM_H