MegEngine/dnn/test/cuda/checksum.cpp

#include "megdnn/oprs.h"
#include "test/common/checker.h"
#include "test/cuda/fixture.h"

using namespace megdnn;
using namespace test;

TEST_F(CUDA, CHECKSUM_FORWARD) {
    auto cuda_opr = handle_cuda()->create_operator<megdnn::Checksum>(),
         naive_opr = handle_naive()->create_operator<megdnn::Checksum>();
    std::mt19937 rng(std::random_device{}());
    for (size_t size : {3, 8, 12345, 1024 * 1024, 1024 * 1024 * 10}) {
        auto aligned_size = size + ((512 - size % 512) % 512);
        auto run = [&](megdnn::Checksum* opr, void* ptr, bool log_size) {
            TensorND tensor;
            tensor.reset_ptr(ptr);
            tensor.layout.init_contiguous_stride({size});
            tensor.layout.dtype = dtype::Byte();
            WorkspaceWrapper workspace(
                    handle_cuda(), opr->get_workspace_in_bytes(tensor.layout));
            if (log_size) {
                printf("checksum(%zu): workspace=%zu\n", size,
                       workspace.workspace().size);
            }
            return opr->exec(tensor, workspace.workspace());
        };
        std::vector<uint8_t> buf(aligned_size);
        for (size_t i = 0; i < size; ++i)
            buf[i] = rng();
        auto run_offsset = [&](size_t offset) {
            void* dev_ptr = megdnn_malloc(handle_cuda(), buf.size() + offset);
            void* dev_buf = static_cast<char*>(dev_ptr) + offset;

            Checksum::Result res_cuda[2], res_naive[2];

            for (int change_last = 0; change_last < 2; ++change_last) {
                if (change_last)
                    ++buf[size - 1];

                megdnn_memcpy_H2D(handle_cuda(), dev_buf, buf.data(), size);
                res_cuda[change_last] = run(cuda_opr.get(), dev_buf, !change_last);
                res_naive[change_last] = run(naive_opr.get(), buf.data(), false);
            }

            megdnn_free(handle_cuda(), dev_ptr);

            ASSERT_EQ(res_naive[0], res_cuda[0]) << "failed for size " << size;
            ASSERT_EQ(res_naive[1], res_cuda[1]);
            ASSERT_NE(res_cuda[0], res_cuda[1]);
        };

        for (size_t i = 0; i < 8; ++i) {
            run_offsset(i);
        }
    }
}

// vim: syntax=cpp.doxygen