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mirror of https://github.com/open-mmlab/mmdeploy.git synced 2025-01-14 08:09:43 +08:00
lzhangzz 46bfe0ac87
[Feature] New pipeline & executor for SDK ()
* 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
2022-06-01 14:10:43 +08:00

101 lines
2.5 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#include "model.h"
#include "core/logger.h"
#include "core/model_impl.h"
#include "core/utils/filesystem.h"
using namespace std;
namespace mmdeploy {
Model::Model(const std::string& model_path) {
if (auto r = Model::Init(model_path); !r) {
MMDEPLOY_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)) {
MMDEPLOY_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());
MMDEPLOY_INFO("{} successfully load sdk model {}", entry.name, model_path);
impl_ = std::move(impl);
meta_ = std::move(meta);
return success();
}
MMDEPLOY_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());
MMDEPLOY_INFO("successfully load sdk model {}", entry.name);
impl_ = std::move(impl);
meta_ = std::move(meta);
return success();
}
MMDEPLOY_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;
}
}
MMDEPLOY_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);
}
ModelRegistry& ModelRegistry::Get() {
static ModelRegistry inst;
return inst;
}
Result<void> ModelRegistry::Register(const std::string& name, Creator creator) {
for (auto& entry : entries_) {
if (entry.name == name) {
MMDEPLOY_ERROR("{} is already registered", name);
return Status(eFail);
}
}
MMDEPLOY_INFO("Register '{}'", name);
entries_.push_back({name, std::move(creator)});
return success();
}
} // namespace mmdeploy