mmdeploy/csrc/core/model.cpp
lvhan028 36124f6205
Merge sdk (#251)
* 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>
2021-12-07 10:57:55 +08:00

103 lines
2.5 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#include "model.h"
#include "core/logger.h"
#include "core/model_impl.h"
#if __GNUC__ >= 8
#include <filesystem>
namespace fs = std::filesystem;
#else
#include <experimental/filesystem>
namespace fs = std::experimental::filesystem;
#endif
using namespace std;
namespace mmdeploy {
Model::Model(const std::string& model_path) {
if (auto r = Model::Init(model_path); !r) {
ERROR("load model failed. Its file path is '{}'", model_path);
r.error().throw_exception();
}
}
Model::Model(const void* buffer, size_t size) { Init(buffer, size).value(); }
Result<void> Model::Init(const std::string& model_path) {
if (!fs::exists(model_path)) {
ERROR("'{}' doesn't exist", model_path);
return Status(eFileNotExist);
}
auto registry = ModelRegistry::Get();
auto entries = registry.ListEntries();
for (auto& entry : entries) {
auto impl = entry.creator();
if (!impl->Init(model_path)) {
continue;
}
OUTCOME_TRY(auto meta, impl->ReadMeta());
INFO("{} successfully load sdk model {}", entry.name, model_path);
impl_ = std::move(impl);
meta_ = std::move(meta);
return success();
}
ERROR("no ModelImpl can read sdk_model {}", model_path);
return Status(eNotSupported);
}
Result<void> Model::Init(const void* buffer, size_t size) {
auto registry = ModelRegistry::Get();
auto entries = registry.ListEntries();
for (auto& entry : entries) {
auto impl = entry.creator();
if (!impl->Init(buffer, size)) {
continue;
}
OUTCOME_TRY(auto meta, impl->ReadMeta());
INFO("{} successfully load sdk model {}", entry.name);
impl_ = std::move(impl);
meta_ = std::move(meta);
return success();
}
ERROR("no ModelImpl can parse buffer");
return Status(eNotSupported);
}
Result<model_meta_info_t> Model::GetModelConfig(const std::string& name) const {
for (auto& info : meta_.models) {
if (name == info.name) {
return info;
}
}
ERROR("cannot find model '{}' in meta file", name);
return Status(eEntryNotFound);
}
Result<std::string> Model::ReadFile(const std::string& file_path) noexcept {
return impl_->ReadFile(file_path);
}
Result<void> ModelRegistry::Register(const std::string& name, Creator creator) {
for (auto& entry : entries_) {
if (entry.name == name) {
ERROR("{} is already registered", name);
return Status(eFail);
}
}
INFO("Register '{}'", name);
entries_.push_back({name, std::move(creator)});
return success();
}
} // namespace mmdeploy