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- #pragma once
-
- #include <lite_build_config.h>
-
- #include "lite/global.h"
- #include "lite/network.h"
- #include "lite/tensor.h"
-
- #include "npy.h"
-
- #include <string.h>
- #include <memory>
- #include <unordered_map>
- #include <vector>
-
- namespace lite {
- namespace example {
-
- void set_cpu_affinity(const std::vector<int>& cpuset);
-
- struct Args {
- int args_parse_ret = 0;
- std::string example_name;
- std::string model_path;
- std::string input_path;
- std::string output_path;
- std::string loader_path;
- static Args from_argv(int argc, char** argv);
- };
-
- std::shared_ptr<Tensor> parse_npy(
- const std::string& path, LiteBackend backend = LiteBackend::LITE_DEFAULT);
-
- using ExampleFunc = std::function<bool(const Args&)>;
- using ExampleFuncMap = std::unordered_map<std::string, ExampleFunc>;
-
- ExampleFuncMap* get_example_function_map();
-
- bool register_example(std::string example_name, const ExampleFunc& fuction);
-
- } // namespace example
- } // namespace lite
-
- #define CONCAT_IMPL(a, b) a##b
- #define MACRO_CONCAT(a, b) CONCAT_IMPL(a, b)
-
- #define REGIST_EXAMPLE(name_, func_) REGIST_EXAMPLE_WITH_NUM(__COUNTER__, name_, func_)
-
- #define REGIST_EXAMPLE_WITH_NUM(number_, name_, func_) \
- struct Register_##func_ { \
- Register_##func_() { lite::example::register_example(name_, func_); } \
- }; \
- namespace { \
- Register_##func_ MACRO_CONCAT(func_, number_); \
- }
-
- // vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}
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