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* 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>
57 lines
1.3 KiB
C++
57 lines
1.3 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_SRC_APIS_C_HANDLE_H_
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#define MMDEPLOY_SRC_APIS_C_HANDLE_H_
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#include <memory>
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#include "core/device.h"
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#include "core/graph.h"
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namespace mmdeploy {
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namespace {
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class Handle {
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public:
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Handle(const char* device_name, int device_id, Value config) {
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device_ = Device(device_name, device_id);
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stream_ = Stream(device_);
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config["context"].update({{"device", device_}, {"stream", stream_}});
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auto creator = Registry<graph::Node>::Get().GetCreator("Pipeline");
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if (!creator) {
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MMDEPLOY_ERROR("failed to find Pipeline creator");
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throw_exception(eEntryNotFound);
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}
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pipeline_ = creator->Create(config);
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if (!pipeline_) {
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MMDEPLOY_ERROR("create pipeline failed");
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throw_exception(eFail);
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}
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pipeline_->Build(graph_);
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}
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template <typename T>
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Result<Value> Run(T&& input) {
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OUTCOME_TRY(auto output, graph_.Run(std::forward<T>(input)));
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OUTCOME_TRY(stream_.Wait());
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return output;
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}
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Device& device() { return device_; }
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Stream& stream() { return stream_; }
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private:
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Device device_;
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Stream stream_;
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graph::TaskGraph graph_;
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std::unique_ptr<graph::Node> pipeline_;
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};
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} // namespace
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} // namespace mmdeploy
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#endif // MMDEPLOY_SRC_APIS_C_HANDLE_H_
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