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* 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>
49 lines
1.4 KiB
C++
49 lines
1.4 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_SRC_UITLS_SCOPECOUNTER_H_
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#define MMDEPLOY_SRC_UITLS_SCOPECOUNTER_H_
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#include <chrono>
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namespace mmdeploy {
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class ScopeCounter {
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public:
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class State {
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std::map<std::string, std::pair<double, int> > v;
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};
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ScopeCounter() : state_() {}
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explicit ScopeCounter(State& state) : state_(&state) {}
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ScopeCounter(const ScopeCounter&) = delete;
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ScopeCounter(ScopeCounter&&) = delete;
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ScopeCounter& operator=(const ScopeCounter&) = delete;
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ScopeCounter& operator=(ScopeCounter&&) = delete;
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void operator()(const std::string& tag) { operator()(tag.c_str()); }
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void operator()(const char* tag) {
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time_points_.emplace_back(tag, std::chrono::high_resolution_clock::now());
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}
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~ScopeCounter() {
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std::vector<std::pair<std::string, double> > durations;
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for (int i = 1; i < time_points_.size(); ++i) {
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auto& [n0, t0] = time_points_[i - 1];
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auto& [n1, t1] = time_points_[i];
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auto diff = std::chrono::duration<double, std::milli>(t1 - t0).count();
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auto name = n0;
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name += " -> ";
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name += n1;
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durations.emplace_back(name, diff);
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}
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if (state_) {
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}
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}
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private:
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using time_point = std::chrono::high_resolution_clock::time_point;
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std::vector<std::pair<std::string, time_point> > time_points_;
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State* state_;
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};
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} // namespace mmdeploy
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#endif // MMDEPLOY_SRC_UITLS_SCOPECOUNTER_H_
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