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https://github.com/open-mmlab/mmdeploy.git
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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>
62 lines
1.7 KiB
C++
62 lines
1.7 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "compose.h"
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#include "archive/json_archive.h"
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#include "archive/value_archive.h"
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#include "core/utils/formatter.h"
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namespace mmdeploy {
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Compose::Compose(const Value& args, int version) : Transform(args) {
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assert(args.contains("context"));
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Value context;
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context = args["context"];
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context["stream"].get_to(stream_);
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for (auto cfg : args["transforms"]) {
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cfg["context"] = context;
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auto type = cfg.value("type", std::string{});
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MMDEPLOY_DEBUG("creating transform: {} with cfg: {}", type, mmdeploy::to_json(cfg).dump(2));
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auto creator = Registry<Transform>::Get().GetCreator(type, version);
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if (!creator) {
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MMDEPLOY_ERROR("unable to find creator: {}", type);
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throw std::invalid_argument("unable to find creator");
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}
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auto transform = creator->Create(cfg);
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if (!transform) {
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MMDEPLOY_ERROR("failed to create transform: {}", type);
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throw std::invalid_argument("failed to create transform");
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}
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transforms_.push_back(std::move(transform));
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}
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}
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Result<Value> Compose::Process(const Value& input) {
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Value output = input;
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for (auto& transform : transforms_) {
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auto t = transform->Process(output);
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OUTCOME_TRY(stream_.Wait());
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if (!t) {
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return t;
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}
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output = std::move(t).value();
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}
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return std::move(output);
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}
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class ComposeCreator : public Creator<Transform> {
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public:
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const char* GetName() const override { return "Compose"; }
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int GetVersion() const override { return version_; }
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ReturnType Create(const Value& args) override {
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return std::make_unique<Compose>(args, version_);
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}
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private:
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int version_{1};
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};
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REGISTER_MODULE(Transform, ComposeCreator);
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} // namespace mmdeploy
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