877bdcace6
CUTLASS 1.3 Release - Efficient GEMM kernel targeting Volta Tensor Cores via mma.sync instruction added in CUDA 10.1.
74 lines
3.2 KiB
C++
74 lines
3.2 KiB
C++
/***************************************************************************************************
|
|
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
|
* provided that the following conditions are met:
|
|
* * Redistributions of source code must retain the above copyright notice, this list of
|
|
* conditions and the following disclaimer.
|
|
* * Redistributions in binary form must reproduce the above copyright notice, this list of
|
|
* conditions and the following disclaimer in the documentation and/or other materials
|
|
* provided with the distribution.
|
|
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
|
|
* to endorse or promote products derived from this software without specific prior written
|
|
* permission.
|
|
*
|
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
|
|
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
|
* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
|
|
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
|
|
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
|
|
* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
|
|
* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
*
|
|
**************************************************************************************************/
|
|
/*! \file
|
|
\brief Test environment for batched reduction
|
|
*/
|
|
|
|
#pragma once
|
|
#include "cutlass/cutlass.h"
|
|
#include "tools/test/unit/reduction/batched_reduction_testbed.h"
|
|
|
|
template <typename BatchedRecutionTraits_>
|
|
static void test_batched_reduction(
|
|
int m,
|
|
int n,
|
|
int lda,
|
|
int ldc,
|
|
int ldd) {
|
|
typedef BatchedRecutionTraits_ Traits;
|
|
typedef cutlass::reduction::BatchedReduction<Traits> batched_reduction;
|
|
typename batched_reduction::Params params;
|
|
|
|
test::BatchedReductionTestbed<typename cutlass::TypeTraits<typename Traits::ScalarA>::host_type,
|
|
typename cutlass::TypeTraits<typename Traits::ScalarC>::host_type,
|
|
typename cutlass::TypeTraits<typename Traits::ScalarD>::host_type,
|
|
typename cutlass::TypeTraits<typename Traits::ScalarAlphaBeta>::host_type,
|
|
typename cutlass::TypeTraits<typename Traits::ScalarAlphaBeta>::host_type,
|
|
typename cutlass::TypeTraits<typename Traits::ScalarAccum>::host_type,
|
|
Traits::ReductionSize>
|
|
testbed(m, n, lda, ldc, ldd);
|
|
testbed.initialize();
|
|
|
|
params.initialize(testbed.M(),
|
|
testbed.N(),
|
|
testbed.get_alpha(),
|
|
testbed.get_beta(),
|
|
testbed.get_reduction_stride(),
|
|
testbed.ptr_A(),
|
|
testbed.get_lda(),
|
|
testbed.ptr_C(),
|
|
testbed.get_ldc(),
|
|
testbed.ptr_D(),
|
|
testbed.get_ldd());
|
|
|
|
|
|
batched_reduction::launch(params);
|
|
cudaError_t result = cudaDeviceSynchronize();
|
|
ASSERT_EQ(result, cudaSuccess) << "\nCUDA kernel launch error: " << cudaGetErrorString(result)
|
|
<< "\n";
|
|
|
|
ASSERT_TRUE(testbed.verify_with_host());
|
|
}
|