mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
* 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>
101 lines
2.5 KiB
C++
101 lines
2.5 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "model.h"
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#include "core/logger.h"
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#include "core/model_impl.h"
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#include "core/utils/filesystem.h"
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using namespace std;
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namespace mmdeploy {
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Model::Model(const std::string& model_path) {
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if (auto r = Model::Init(model_path); !r) {
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MMDEPLOY_ERROR("load model failed. Its file path is '{}'", model_path);
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r.error().throw_exception();
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}
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}
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Model::Model(const void* buffer, size_t size) { Init(buffer, size).value(); }
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Result<void> Model::Init(const std::string& model_path) {
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if (!fs::exists(model_path)) {
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MMDEPLOY_ERROR("'{}' doesn't exist", model_path);
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return Status(eFileNotExist);
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}
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auto registry = ModelRegistry::Get();
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auto entries = registry.ListEntries();
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for (auto& entry : entries) {
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auto impl = entry.creator();
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if (!impl->Init(model_path)) {
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continue;
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}
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OUTCOME_TRY(auto meta, impl->ReadMeta());
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MMDEPLOY_INFO("{} successfully load sdk model {}", entry.name, model_path);
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impl_ = std::move(impl);
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meta_ = std::move(meta);
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return success();
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}
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MMDEPLOY_ERROR("no ModelImpl can read sdk_model {}", model_path);
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return Status(eNotSupported);
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}
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Result<void> Model::Init(const void* buffer, size_t size) {
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auto registry = ModelRegistry::Get();
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auto entries = registry.ListEntries();
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for (auto& entry : entries) {
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auto impl = entry.creator();
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if (!impl->Init(buffer, size)) {
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continue;
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}
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OUTCOME_TRY(auto meta, impl->ReadMeta());
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MMDEPLOY_INFO("{} successfully load sdk model {}", entry.name);
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impl_ = std::move(impl);
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meta_ = std::move(meta);
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return success();
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}
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MMDEPLOY_ERROR("no ModelImpl can parse buffer");
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return Status(eNotSupported);
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}
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Result<model_meta_info_t> Model::GetModelConfig(const std::string& name) const {
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for (auto& info : meta_.models) {
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if (name == info.name) {
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return info;
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}
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}
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MMDEPLOY_ERROR("cannot find model '{}' in meta file", name);
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return Status(eEntryNotFound);
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}
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Result<std::string> Model::ReadFile(const std::string& file_path) noexcept {
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return impl_->ReadFile(file_path);
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}
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ModelRegistry& ModelRegistry::Get() {
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static ModelRegistry inst;
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return inst;
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}
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Result<void> ModelRegistry::Register(const std::string& name, Creator creator) {
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for (auto& entry : entries_) {
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if (entry.name == name) {
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MMDEPLOY_ERROR("{} is already registered", name);
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return Status(eFail);
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}
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}
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MMDEPLOY_INFO("Register '{}'", name);
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entries_.push_back({name, std::move(creator)});
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return success();
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}
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} // namespace mmdeploy
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