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https://github.com/open-mmlab/mmdeploy.git
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36124f6205
* 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>
60 lines
1.6 KiB
C++
60 lines
1.6 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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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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INFO("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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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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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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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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