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* 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>
73 lines
2.0 KiB
C++
73 lines
2.0 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_TRANSFORM_H
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#define MMDEPLOY_TRANSFORM_H
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#include "core/device.h"
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#include "core/module.h"
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#include "core/registry.h"
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namespace mmdeploy {
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class MMDEPLOY_API TransformImpl : public Module {
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public:
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TransformImpl() = default;
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explicit TransformImpl(const Value& args);
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~TransformImpl() override = default;
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protected:
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std::vector<std::string> GetImageFields(const Value& input);
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protected:
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Device device_;
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Stream stream_;
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};
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class MMDEPLOY_API Transform : public Module {
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public:
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~Transform() override = default;
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Transform() = default;
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explicit Transform(const Value& args);
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Transform(const Transform&) = delete;
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Transform& operator=(const Transform&) = delete;
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const std::string& RuntimePlatform() const { return runtime_platform_; }
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protected:
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template <typename T>
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[[deprecated]] std::unique_ptr<T> Instantiate(const char* transform_type, const Value& args,
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int version = 0) {
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std::unique_ptr<T> impl(nullptr);
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auto impl_creator = Registry<T>::Get().GetCreator(specified_platform_, version);
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if (nullptr == impl_creator) {
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MMDEPLOY_WARN("cannot find {} implementation on specific platform {} ", transform_type,
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specified_platform_);
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for (auto& name : candidate_platforms_) {
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impl_creator = Registry<T>::Get().GetCreator(name);
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if (impl_creator) {
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MMDEPLOY_INFO("fallback {} implementation to platform {}", transform_type, name);
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break;
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}
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}
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}
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if (nullptr == impl_creator) {
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MMDEPLOY_ERROR("cannot find {} implementation on any registered platform ", transform_type);
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return nullptr;
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} else {
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return impl_creator->Create(args);
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}
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}
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protected:
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std::string specified_platform_;
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std::string runtime_platform_;
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std::vector<std::string> candidate_platforms_;
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};
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MMDEPLOY_DECLARE_REGISTRY(Transform);
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} // namespace mmdeploy
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#endif // MMDEPLOY_TRANSFORM_H
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