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* 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>
76 lines
2.0 KiB
C++
76 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 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 Transform : public Module {
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public:
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Transform() = default;
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explicit Transform(const Value& args);
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~Transform() override = default;
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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]]
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/*
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* We cannot LOG the error message, because WARN/INFO/ERROR causes
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* redefinition when building UTs "catch2.hpp" used in UTs has the same LOG
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* declaration
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*/
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std::unique_ptr<T>
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Instantiate(const char* transform_type, const Value& args, 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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// WARN("cannot find {} implementation on specific platform {} ",
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// transform_type, 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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// INFO("fallback {} implementation to platform {}", transform_type,
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// 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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// ERROR("cannot find {} implementation on any registered platform ",
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// 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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} // namespace mmdeploy
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#endif // MMDEPLOY_TRANSFORM_H
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