MegEngine/dnn/test/common/roi_copy.h

#pragma once

#include "megdnn/basic_types.h"
#include "megdnn/opr_param_defs.h"

namespace megdnn {
namespace test {
namespace roi_copy {

struct TestArg {
    param::ROICopy param;
    TensorShape src;
    TestArg(param::ROICopy param_, TensorShape src_) : param(param_), src(src_) {}
};

static inline std::vector<TestArg> get_args() {
    std::vector<TestArg> args;
    param::ROICopy cur_param;

    cur_param.row_from = 2;
    cur_param.row_to = 5;
    cur_param.col_from = 3;
    cur_param.col_to = 5;
    //! Inner region
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});

    //! row start from begin
    cur_param.row_from = 0;
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});

    //! col start from begin
    cur_param.col_from = 0;
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});

    //! col end to the end
    cur_param.col_to = 8;
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});

    //! row end to the end
    cur_param.row_to = 7;
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
    args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});
    return args;
}

}  // namespace roi_copy
}  // namespace test
}  // namespace megdnn

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