mmdeploy/csrc/graph/pipeline.cpp
lzhangzz 640aa03538
Support Windows (#106)
* 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>
2022-02-24 20:08:44 +08:00

96 lines
3.2 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#include "graph/pipeline.h"
#include "archive/value_archive.h"
#include "core/operator.h"
#include "graph/common.h"
namespace mmdeploy::graph {
Pipeline::Pipeline(const Value& cfg) : BaseNode(cfg["pipeline"]) {
input_idx_ = UpdateBindings(inputs(), kWrite);
for (auto task_config : cfg["pipeline"]["tasks"]) {
auto name = task_config.value("name", std::string{});
auto type = task_config.value("type", std::string{});
if (cfg.contains("context")) {
task_config["context"].update(cfg["context"]);
}
if (auto node = CreateFromRegistry<Node>(task_config); node) {
nodes_.push_back(std::move(node).value());
node_input_idx_.push_back(UpdateBindings(nodes_.back()->inputs(), kRead));
node_output_idx_.push_back(UpdateBindings(nodes_.back()->outputs(), kWrite));
} else {
MMDEPLOY_ERROR("could not create {}:{}", name, type);
throw_exception(eFail);
}
}
output_idx_ = UpdateBindings(outputs(), kRead);
}
void Pipeline::Build(TaskGraph& graph) {
graph
.Add([this](Context& ctx) -> Result<void> {
ctx.current().array().resize(binding_name_to_idx_.size());
return success();
})
->set_name(fmt::format("{}.call", name()));
;
for (int index = 0; index < nodes_.size(); ++index) {
graph.Add([this, index](Context& ctx) { return Call(ctx, index); })
->set_name(fmt::format("{}.call", nodes_[index]->name()));
nodes_[index]->Build(graph);
graph.Add([this, index](Context& ctx) { return Ret(ctx, index); })
->set_name(fmt::format("{}.ret", nodes_[index]->name()));
}
graph
.Add([this](Context& ctx) -> Result<void> {
auto vars = std::move(ctx.current()).array();
return Gather(std::move(vars), output_idx_, ctx.current().array());
})
->set_name(fmt::format("{}.ret", name()));
}
std::vector<int> Pipeline::UpdateBindings(const vector<std::string>& names, BindingType type) {
std::vector<int> idxs;
for (const auto& name : names) {
auto it = binding_name_to_idx_.lower_bound(name);
if (it == binding_name_to_idx_.end() || it->first != name) {
if (type == kRead) {
MMDEPLOY_ERROR("unknown binding name: {}", name);
throw_exception(eEntryNotFound);
} else {
auto index = static_cast<int>(binding_name_to_idx_.size());
it = binding_name_to_idx_.emplace_hint(it, name, index);
binding_idx_to_name_.emplace(index, name);
}
}
idxs.push_back(it->second);
}
return idxs;
}
Result<void> Pipeline::Call(Context& ctx, int idx) {
OUTCOME_TRY(auto&& args, Gather(ctx.current().array(), node_input_idx_[idx]));
ctx.push(std::move(args));
return success();
}
Result<void> Pipeline::Ret(Context& ctx, int idx) {
auto rets = ctx.pop().array();
return Scatter(std::move(rets), node_output_idx_[idx], ctx.current().array());
}
class PipelineCreator : public Creator<Node> {
public:
const char* GetName() const override { return "Pipeline"; }
int GetVersion() const override { return 0; }
std::unique_ptr<Node> Create(const Value& value) override {
return std::make_unique<Pipeline>(value);
}
};
REGISTER_MODULE(Node, PipelineCreator);
} // namespace mmdeploy::graph