122 lines
4.1 KiB
Plaintext
122 lines
4.1 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*! \file
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\brief Tests for basic uint128 functionality
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*/
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#include "../common/cutlass_unit_test.h"
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#include "cutlass/array.h"
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#include "cutlass/layout/matrix.h"
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#include "cutlass/numeric_types.h"
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#include "cutlass/numeric_conversion.h"
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#include "cutlass/util/device_memory.h"
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#include "cutlass/util/host_tensor.h"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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//
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// Host
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//
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/////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(uint128_t, host_arithmetic) {
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using T = cutlass::uint128_t;
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// only low 64bit
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for (uint64_t i = 0; i < 1024; ++i) {
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for (uint64_t j = 0; j < 1024; ++j) {
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T x = i;
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T y = j;
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EXPECT_TRUE(static_cast<uint64_t>(x + y) == (i + j));
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}
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}
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// carry overflow for low uint64_t
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{
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for (uint64_t i = 0; i < 1024; ++i) {
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T x = static_cast<uint64_t>(0xFFFFFFFFFFFFFFFF);
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T y = i + 1;
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T z = x + y;
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EXPECT_EQ(z.hilo_.hi, static_cast<uint64_t>(0x1));
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EXPECT_EQ(z.hilo_.lo, i);
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}
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}
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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//
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// Device
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//
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/////////////////////////////////////////////////////////////////////////////////////////////////
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__global__ void uint128_add_operator(cutlass::uint128_t *output, cutlass::uint128_t const *input, cutlass::uint128_t base, int N) {
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int tid = threadIdx.x + blockIdx.x * blockDim.x;
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if (tid < N) {
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output[tid] = input[tid] + base;
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}
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}
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TEST(uint128_t, device_arithmetic) {
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using T = cutlass::uint128_t;
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int const N = 1024;
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cutlass::HostTensor<T, cutlass::layout::RowMajor> input({N, 1});
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cutlass::HostTensor<T, cutlass::layout::RowMajor> sum({N, 1});
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for (int i = 0; i < N; ++i) {
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input.at({i, 0}) = static_cast<uint64_t>(i + 1);
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}
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T b = static_cast<uint64_t>(0xFFFFFFFFFFFFFFFF);
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input.sync_device();
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uint128_add_operator<<< dim3(1,1), dim3(N, 1) >>>(sum.device_data(), input.device_data(), b, N);
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ASSERT_EQ(cudaGetLastError(), cudaSuccess) << "Kernel launch error.";
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sum.sync_host();
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for (int i = 0; i < N; ++i) {
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T got = sum.at({i, 0});
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uint64_t expected_hi = static_cast<uint64_t>(0x1);
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uint64_t expected_lo = static_cast<uint64_t>(i);
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EXPECT_EQ(got.hilo_.hi, expected_hi);
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EXPECT_EQ(got.hilo_.lo, expected_lo);
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}
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}
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