/*************************************************************************************************** * Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: BSD-3-Clause * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, this * list of conditions and the following disclaimer. * * 2. 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. * * 3. Neither the name of the copyright holder 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 THE COPYRIGHT HOLDER OR CONTRIBUTORS 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 TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * **************************************************************************************************/ #include "cutlass_unit_test.h" #include #include #include #include #include #include #include #include #include using namespace cute; template __global__ void kernel(GmemTensor gC, RmemTiler tiler, CopyPolicy policy) { Tensor tCgC = local_tile(gC, tiler, 0); Tensor rC = make_tensor_like(tCgC); using T = typename GmemTensor::value_type; for (int i = 0; i < size(rC); ++i) { rC(i) = T(i % 13); } #if 0 print(" gC : "); print( gC); print("\n"); print("tCgC : "); print(tCgC); print("\n"); print(" rC : "); print( rC); print("\n"); #endif // NOTE: only 1 thread, this thread produce a block of 8x8 output. The fringe will not be touched. //copy(rC, tCgC); // Enable auto-vectorization if static //copy_vec(rC, tCgC); // Disable auto-vectorization always copy(policy, rC, tCgC); // Use a policy to establish vectorization assumptions } template void test_copy_vectorization(CopyPolicy policy, GmemLayout gmem_layout, RmemTiler rmem_tiler) { thrust::host_vector h_in(cosize(gmem_layout), T(0)); thrust::device_vector d_in = h_in; Tensor m_in = make_tensor(make_gmem_ptr(raw_pointer_cast(d_in.data())), gmem_layout); kernel<<<1,1>>>(m_in, rmem_tiler, policy); thrust::host_vector h_out = d_in; Tensor result = make_tensor(h_out.data(), gmem_layout); thrust::host_vector h_true = h_in; Tensor ref = make_tensor(h_true.data(), gmem_layout); // Set the values directly in the reference tensor, no copy Tensor ref_tile = local_tile(ref, rmem_tiler, 0); for (int i = 0; i < size(ref_tile); ++i) { ref_tile(i) = T(i % 13); } // Compare the reference and the result. Print only the first 3 errors. // print_tensor(result); int count = 3; for (int i = 0; i < size(ref) && count > 0; ++i) { EXPECT_EQ(result(i), ref(i)); if (result(i) != ref(i)) { --count; } } } template void test_copy_vectorization(GmemLayout gmem_layout, RmemTiler rmem_tiler) { test_copy_vectorization(DefaultCopy{}, gmem_layout, rmem_tiler); } TEST(SM70_CuTe_Volta, SimpleVec) { // Fully static layouts are assumed to be aligned -- these will be vectorized test_copy_vectorization(make_layout(make_shape(Int<8>{}, Int<8>{})), Shape<_8,_8>{}); test_copy_vectorization(make_layout(make_shape(Int<12>{}, Int<12>{})), Shape<_8,_8>{}); // Fails in vectorization recast due to misalignment and static assertions //test_copy_vectorization(make_layout(make_shape(Int<9>{}, Int<9>{})), Shape<_8,_8>{}); // Dynamic layouts are not assumed to be aligned -- these will not be vectorized test_copy_vectorization(make_layout(make_shape(12,12)), Shape<_8,_8>{}); test_copy_vectorization(make_layout(make_shape( 9, 9)), Shape<_8,_8>{}); // Dynamic layouts that are assumed to be aligned -- these will be vectorized test_copy_vectorization(AutoVectorizingCopyWithAssumedAlignment<128>{}, make_layout(make_shape( 8, 8)), Shape<_8,_8>{}); test_copy_vectorization(AutoVectorizingCopyWithAssumedAlignment<128>{}, make_layout(make_shape(12,12)), Shape<_8,_8>{}); // Fails -- bad alignment assumption //test_copy_vectorization(AutoVectorizingCopyWithAssumedAlignment<128>{}, make_layout(make_shape( 9, 9)), Shape<_8,_8>{}); }