mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
36124f6205
* 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>
65 lines
1.8 KiB
C++
65 lines
1.8 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
|
|
|
|
#include <deque>
|
|
#include <iostream>
|
|
#include <list>
|
|
#include <map>
|
|
#include <set>
|
|
#include <unordered_map>
|
|
#include <unordered_set>
|
|
#include <vector>
|
|
|
|
#include "archive/json_archive.h"
|
|
#include "catch.hpp"
|
|
|
|
using ArrayLikeTypes = std::tuple<std::vector<int>, std::deque<int>, std::array<int, 15>,
|
|
std::list<int>, std::set<int>, std::unordered_set<int>,
|
|
std::multiset<int>, std::unordered_multiset<int> >;
|
|
|
|
TEMPLATE_LIST_TEST_CASE("test array-like", "[archive]", ArrayLikeTypes) {
|
|
TestType v{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4};
|
|
nlohmann::json json;
|
|
mmdeploy::JsonOutputArchive oa(json);
|
|
oa(v);
|
|
mmdeploy::JsonInputArchive ia(json);
|
|
TestType u{};
|
|
ia(u);
|
|
std::cout << json << std::endl;
|
|
REQUIRE(u == v);
|
|
}
|
|
|
|
using MapLikeTypes = std::tuple<
|
|
// std::map<int, float>
|
|
std::map<int, float>, std::unordered_map<int, float>, std::multimap<int, float>,
|
|
std::unordered_multimap<int, float> >;
|
|
|
|
TEMPLATE_LIST_TEST_CASE("test map-like", "[archive]", MapLikeTypes) {
|
|
TestType v{{1, 123.456f}, {1, 222.222f}, {2, 111.222f}, {3, 223.332f}, {3, 1.22e10f}};
|
|
nlohmann::json json;
|
|
mmdeploy::JsonOutputArchive oa(json);
|
|
oa(v);
|
|
mmdeploy::JsonInputArchive ia(json);
|
|
TestType u;
|
|
ia(u);
|
|
std::cout << json << std::endl;
|
|
REQUIRE(u == v);
|
|
}
|
|
|
|
struct A {
|
|
std::vector<int> vec;
|
|
std::string str;
|
|
friend bool operator==(const A& a, const A& b) { return a.vec == b.vec && a.str == b.str; }
|
|
MMDEPLOY_ARCHIVE_MEMBERS(vec, str);
|
|
};
|
|
|
|
TEST_CASE("test struct", "[archive]") {
|
|
A a{{1, 2, 3, 4, 5}, "hello"};
|
|
nlohmann::json json;
|
|
mmdeploy::JsonOutputArchive oa(json);
|
|
oa(a);
|
|
mmdeploy::JsonInputArchive ia(json);
|
|
A b;
|
|
ia(b);
|
|
REQUIRE(a == b);
|
|
}
|