lzhangzz 640aa03538
Support Windows (#106)
* minor changes

* support windows

* fix GCC build

* fix lint

* reformat

* fix Windows build

* fix GCC build

* search backend ops for onnxruntime

* fix lint

* fix lint

* code clean-up

* code clean-up

* fix clang build

* fix trt support

* fix cmake for ncnn

* fix cmake for openvino

* fix SDK Python API

* handle ops for other backends (ncnn, trt)

* handle SDK Python API library location

* robustify linkage

* fix cuda

* minor fix for openvino & ncnn

* use CMAKE_CUDA_ARCHITECTURES if set

* fix cuda preprocessor

* fix misc

* fix pplnn & pplcv, drop support for pplcv<0.6.0

* robustify cmake

* update build.md (#2)

* build dynamic modules as module library & fix demo (partially)

* fix candidate path for mmdeploy_python

* move "enable CUDA" to cmake config for demo

* refine demo cmake

* add comment

* fix ubuntu build

* revert docs/en/build.md

* fix C API

* fix lint

* Windows build doc (#3)

* check in docs related to mmdeploy build on windows

* update build guide on windows platform

* update build guide on windows platform

* make path of thirdparty libraries consistent

* make path consistency

* correct build command for custom ops

* correct build command for sdk

* update sdk build instructions

* update doc

* correct build command

* fix lint

* correct build command and fix lint

Co-authored-by: lvhan <lvhan@pjlab.org>

* trailing whitespace (#4)

* minor fix

* fix sr sdk model

* fix type deduction

* fix cudaFree after driver shutting down

* update ppl.cv installation warning (#5)

* fix device allocator threshold & fix lint

* update doc (#6)

* update ppl.cv installation warning

* missing 'git clone'

Co-authored-by: chenxin <chenxin2@sensetime.com>
Co-authored-by: zhangli <zhangli@sensetime.com>
Co-authored-by: lvhan028 <lvhan_028@163.com>
Co-authored-by: lvhan <lvhan@pjlab.org>
2022-02-24 20:08:44 +08:00

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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 MMDEPLOY_API 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 MMDEPLOY_API Transform : public Module {
public:
~Transform() override = default;
Transform() = default;
explicit Transform(const Value& args);
Transform(const Transform&) = delete;
Transform& operator=(const Transform&) = delete;
const std::string& RuntimePlatform() const { return runtime_platform_; }
protected:
template <typename T>
[[deprecated]] 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) {
MMDEPLOY_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) {
MMDEPLOY_INFO("fallback {} implementation to platform {}", transform_type, name);
break;
}
}
}
if (nullptr == impl_creator) {
MMDEPLOY_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_;
};
MMDEPLOY_DECLARE_REGISTRY(Transform);
} // namespace mmdeploy
#endif // MMDEPLOY_TRANSFORM_H