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https://github.com/open-mmlab/mmdeploy.git
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* executor prototype * add split/when_all * fix GCC build * WIP let_value * fix let_value * WIP ensure_started * ensure_started & start_detached * fix let_value + when_all combo on MSVC 142 * fix static thread pool * generic just, then, let_value, sync_wait * minor * generic split and when_all * fully generic sender adapters * when_all: workaround for GCC7 * support legacy spdlog * fix memleak * bulk * static detector * fix bulk & first pipeline * bulk for static thread pools * fix on MSVC * WIP async batch submission * WIP collation * async batch * fix detector * fix async detector * fix * fix * debug * fix cuda allocator * WIP type erased executor * better type erasure * simplify C API impl * Expand & type erase TC * deduction guide for type erased senders * fix GCC build * when_all for arrays of Value senders * WIP pipeline v2 * WIP pipeline parser * WIP timed batch operation * add registry * experiment * fix pipeline * naming * fix mem-leak * fix deferred batch operation * WIP * WIP configurable scheduler * WIP configurable scheduler * add comment * parse scheduler config * force link schedulers * WIP pipeable sender * WIP CPO * ADL isolation and dismantle headers * type erase single thread context * fix MSVC build * CPO * replace decay_t with remove_cvref_t * structure adjustment * structure adjustment * apply CPOs & C API rework * refine C API * detector async C API * adjust detector async C API * # Conflicts: # csrc/apis/c/detector.cpp * fix when_all for type erased senders * support void return for Then * async detector * fix some CPOs * minor * WIP rework capture mechanism for type erased types * minor fix * fix MSVC build * move expand.h to execution * make `Expand` pipeable * fix type erased * un-templatize `_TypeErasedOperation` * re-work C API * remove async_detector C API * fix pipeline * add flatten & unflatten * fix flatten & unflatten * add aync OCR demo * config executor for nodes & better executor API * working async OCR example * minor * dynamic batch via scheduler * dynamic batch on `Value` * fix MSVC build * type erase dynamic batch scheduler * sender as Python Awaitable * naming * naming * add docs * minor * merge tmp branch * unify C APIs * fix ocr * unify APIs * fix typo * update async OCR demo * add v3 API text recognizer * fix v3 API * fix lint * add license info & reformat * add demo async_ocr_v2 * revert files * revert files * resolve link issues * fix scheduler linkage for shared libs * fix license header * add docs for `mmdeploy_executor_split` * add missing `mmdeploy_executor_transfer_just` and `mmdeploy_executor_execute` * make `TimedSingleThreadContext` header only * fix lint * simplify type-erased sender
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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