MegEngine/dnn/test/cuda/argmxx.cpp

#include "test/cuda/fixture.h"

#include "megdnn/oprs.h"
#include "test/common/checker.h"
#include "test/common/rng.h"

namespace {

using namespace megdnn;
using namespace test;

class ArgmxxRNG final : public RNG {
public:
    void gen(const TensorND& tensor) override {
        auto offset = tensor.layout.span().low_elem;
        auto nr_elems = tensor.layout.span().dist_elem();

#define cb(DType)                                             \
    if (tensor.layout.dtype == DType()) {                     \
        using ctype = typename DTypeTrait<DType>::ctype;      \
        auto ptr = tensor.ptr<ctype>();                       \
        for (size_t i = 0; i < nr_elems; ++i) {               \
            ptr[offset + i] = i;                              \
        }                                                     \
        COMPAT_RANDOM(ptr + offset, ptr + offset + nr_elems); \
    }
        MEGDNN_FOREACH_COMPUTING_DTYPE(cb);
#undef cb
    }
};

template <typename Argmxx>
void test_argmxx(Handle* handle) {
    Checker<Argmxx> checker(handle);
    checker.set_dtype(1, dtype::Int32());
    using Param = typename Argmxx::Param;
    ArgmxxRNG rng;
    checker.set_rng(0, &rng);
    for (size_t axis = 0; axis < 4; ++axis) {
        Param param;
        param.axis = axis;
        checker.set_param(param)
                .set_dtype(0, dtype::Float32())
                .execs({{2, 3, 4, 5}, {}});
        checker.set_param(param)
                .set_dtype(0, dtype::Float16())
                .execs({{2, 3, 4, 5}, {}});
        checker.set_param(param).set_dtype(0, dtype::Int32()).execs({{2, 3, 4, 5}, {}});
        checker.set_param(param).set_dtype(0, dtype::Int16()).execs({{2, 3, 4, 5}, {}});
        checker.set_param(param).set_dtype(0, dtype::Int8()).execs({{2, 3, 4, 5}, {}});
        checker.set_param(param).set_dtype(0, dtype::Uint8()).execs({{2, 3, 4, 5}, {}});
    }
    checker.set_dtype(0, dtype::Float32());
    Param param;
    param.axis = 1;
    checker.set_param(param);
    // 1-step
    checker.execs({{2, 64, 32}, {}});
    // 2-step
    checker.execs({{2, 192, 32}, {}});
    // 3-step
    checker.execs({{2, 4333, 32}, {}});
    // single reduce
    checker.execs({{2, 1, 1}, {}});
    checker.execs({{2, 1 + 1, 1}, {}});
    checker.execs({{2, 2048 + 1, 1}, {}});
    checker.execs({{2, 2048 * 2048 + 1, 1}, {}});
    checker.execs({{2, 1 + 1, 31}, {}});
    checker.execs({{2, 16 + 1, 31}, {}});
    checker.execs({{2, 16 * 16 + 1, 31}, {}});
    checker.execs({{2, 16 * 16 * 16 + 1, 31}, {}});
    checker.execs({{2, 16 * 16 * 16 * 16 + 1, 31}, {}});
    checker.execs({{3, 256 * 256 + 1, 2}, {}});
    checker.execs({{3, 128 * 128 + 1, 3}, {}});
    checker.execs({{3, 64 * 64 + 1, 7}, {}});
    checker.execs({{3, 32 * 32 + 1, 15}, {}});
    checker.execs({{3, 512, 500}, {}});
    // very large reduce
    checker.execs({{1, 4194304, 1}, {}});
}

}  // anonymous namespace

namespace megdnn {
namespace test {

TEST_F(CUDA, ARGMAX) {
    test_argmxx<Argmax>(handle_cuda());
}

TEST_F(CUDA, ARGMIN) {
    test_argmxx<Argmin>(handle_cuda());
}

}  // namespace test
}  // namespace megdnn

// vim: syntax=cpp.doxygen