689 lines
25 KiB
Plaintext
689 lines
25 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 Unit tests for warp-level wmma gemm
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*/
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#include "cutlass/arch/wmma.h"
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#if defined(CUTLASS_ARCH_WMMA_SM70_ENABLED)
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#include "../../common/cutlass_unit_test.h"
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#include "cutlass/aligned_buffer.h"
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#include "cutlass/half.h"
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#include "cutlass/gemm/warp/default_mma_wmma_tensor_op.h"
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#include "cutlass/core_io.h"
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#include "cutlass/util/host_tensor.h"
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#include "cutlass/util/tensor_view_io.h"
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#include "cutlass/util/reference/host/tensor_fill.h"
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#include "cutlass/util/reference/host/tensor_compare.h"
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#include "cutlass/util/reference/host/gemm.h"
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#include "testbed.h"
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/// Test name format: SM[arch]_warp_wmma_[alayout]_[blayout]_[clayout]_[dtype].[threadblock_shape]_[warp_shape]
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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///////////////////////////////////////////// f16 accumulation point wmma.mma //////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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//////////////// [START] Verifying all layouts {N,T}x{N,T}=>{N,T} for WMMA 16x16x16 [START] //////////////////////
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////////////////////////////////////////////////////////////
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/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
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/// wmma.mma.sync.aligned.row.col.m16n16k16.f16.f16
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////////////////////////////////////////////////////////////
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// 4 tests for {N,T}x{N,T}=>{T}
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TEST(SM70_warp_wmma_row_col_row_f16, 16x16x16_16x16x16_16x16x16) {
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// Threadblock and warp with just one native WMMA operation (most basic unit test)
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using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >().run();
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}
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////////////////////////////////////////////////////////////
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/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
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/// wmma.mma.sync.aligned.col.row.m16n16k16.f16.f16
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////////////////////////////////////////////////////////////
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TEST(SM70_warp_wmma_col_row_row_f16, 16x16x16_16x16x16_16x16x16) {
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// Threadblock and warp with just one native WMMA operation (most basic unit test)
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using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >().run();
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}
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////////////////////////////////////////////////////////////
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/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
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/// wmma.mma.sync.aligned.row.row.m16n16k16.f16.f16
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////////////////////////////////////////////////////////////
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TEST(SM70_warp_wmma_row_row_row_f16, 16x16x16_16x16x16_16x16x16) {
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// Threadblock and warp with just one native WMMA operation (most basic unit test)
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using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >().run();
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}
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////////////////////////////////////////////////////////////
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/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
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/// wmma.mma.sync.aligned.col.row.m16n16k16.f16.f16
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////////////////////////////////////////////////////////////
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TEST(SM70_warp_wmma_col_col_row_f16, 16x16x16_16x16x16_16x16x16) {
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// Threadblock and warp with just one native WMMA operation (most basic unit test)
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using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >().run();
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}
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// 4 tests for {N,T}x{N,T}=>{N}
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TEST(SM70_warp_wmma_row_col_col_f16, 16x16x16_16x16x16_16x16x16) {
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// Threadblock and warp with just one native WMMA operation (most basic unit test)
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using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::ColumnMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >().run();
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}
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////////////////////////////////////////////////////////////
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/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
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/// wmma.mma.sync.aligned.col.row.m16n16k16.f16.f16
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////////////////////////////////////////////////////////////
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TEST(SM70_warp_wmma_col_row_col_f16, 16x16x16_16x16x16_16x16x16) {
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// Threadblock and warp with just one native WMMA operation (most basic unit test)
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using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::ColumnMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >().run();
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}
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////////////////////////////////////////////////////////////
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/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
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/// wmma.mma.sync.aligned.row.row.m16n16k16.f16.f16
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////////////////////////////////////////////////////////////
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TEST(SM70_warp_wmma_row_row_col_f16, 16x16x16_16x16x16_16x16x16) {
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// Threadblock and warp with just one native WMMA operation (most basic unit test)
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using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::RowMajor;
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using LayoutC = cutlass::layout::ColumnMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >().run();
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}
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////////////////////////////////////////////////////////////
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/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
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/// wmma.mma.sync.aligned.col.row.m16n16k16.f16.f16
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////////////////////////////////////////////////////////////
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TEST(SM70_warp_wmma_col_col_col_f16, 16x16x16_16x16x16_16x16x16) {
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// Threadblock and warp with just one native WMMA operation (most basic unit test)
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using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::ColumnMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >().run();
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}
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/////////// [END] Verifying all layouts {N,T}x{N,T}=>{N,T} for WMMA 16x16x16 [END] ///////////////////////////
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TEST(SM70_warp_wmma_row_col_row_f16, 64x64x16_64x64x16_16x16x16) {
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<64, 64, 16> >().run();
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}
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TEST(SM70_warp_wmma_row_col_row_f16, 64x64x32_64x64x32_16x16x16) {
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<64, 64, 32> >().run();
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}
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TEST(SM70_warp_wmma_row_col_row_f16, 64x64x32_64x32x32_16x16x16) {
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using WarpShape = cutlass::gemm::GemmShape<64, 32, 32>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<64, 64, 32> >().run();
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}
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TEST(SM70_warp_wmma_row_col_row_f16, 64x64x32_32x64x32_16x16x16) {
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<64, 64, 32> >().run();
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}
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TEST(SM70_warp_wmma_row_col_row_f16, 64x64x32_32x32x32_16x16x16) {
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using WarpShape = cutlass::gemm::GemmShape<32, 32, 32>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<64, 64, 32> >().run();
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}
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TEST(SM70_warp_wmma_row_col_row_f16, 128x128x16_64x64x16_16x16x16) {
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// Even though the test launches 128x128x16 CTA tile this test only verfies one warp
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// , i.e., warp_0 of size 64x64x16 out of the four warps required to cover the CTA
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using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
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using ElementA = cutlass::half_t;
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using ElementB = cutlass::half_t;
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using ElementC = cutlass::half_t;
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using LayoutA = cutlass::layout::RowMajor;
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using LayoutB = cutlass::layout::ColumnMajor;
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using LayoutC = cutlass::layout::RowMajor;
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using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
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WarpShape,
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InstructionShape,
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ElementA,
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LayoutA,
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ElementB, LayoutB,
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ElementC,
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LayoutC>::Type;
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test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<128, 128, 16> >().run();
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}
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////////////////////////////////////////////////////////////
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/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
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/// wmma.mma.sync.aligned.row.col.m32n8k16.f16.f16
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////////////////////////////////////////////////////////////
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TEST(SM70_warp_wmma_row_col_row_f16, 32x8x16_32x8x16_32x8x16) {
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// Threadblock and warp with just one native WMMA operation (most basic unit test)
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using WarpShape = cutlass::gemm::GemmShape<32, 8, 16>;
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using InstructionShape = cutlass::gemm::GemmShape<32, 8, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<32, 8, 16> >().run();
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////
|
|
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
|
|
/// wmma.mma.sync.aligned.row.col.m8n32k16.f16.f16
|
|
////////////////////////////////////////////////////////////
|
|
TEST(SM70_warp_wmma_row_col_row_f16, 8x32x16_8x32x16_32x8x16) {
|
|
// Threadblock and warp with just one native WMMA operation (most basic unit test)
|
|
using WarpShape = cutlass::gemm::GemmShape<8, 32, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 32, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<8, 32, 16> >().run();
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////
|
|
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
|
|
/// wmma.mma.sync.aligned.col.row.m8n32k16.f16.f16
|
|
////////////////////////////////////////////////////////////
|
|
TEST(SM70_warp_wmma_col_row_row_f16, 8x32x16_8x32x16_8x32x16) {
|
|
// Threadblock and warp with just one native WMMA operation (most basic unit test)
|
|
using WarpShape = cutlass::gemm::GemmShape<8, 32, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 32, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<8, 32, 16> >().run();
|
|
}
|
|
|
|
TEST(SM70_warp_wmma_col_row_row_f16, 32x8x16_32x8x16_32x8x16) {
|
|
// Threadblock and warp with just one native WMMA operation (most basic unit test)
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 8, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<32, 8, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<32, 8, 16> >().run();
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
///////////////////////////////////////////// f32 accumulation point wmma.mma //////////////////////////////////
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
/////////////////////////////////////////////////////////////
|
|
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
|
|
/// wmma.mma.sync.aligned.row.col.m16n16k16.f32.f32
|
|
////////////////////////////////////////////////////////////
|
|
TEST(SM70_warp_wmma_row_col_row_f32, 16x16x16_16x16x16_16x16x16) {
|
|
// Threadblock and warp with just one native WMMA operation (most basic unit test)
|
|
using WarpShape = cutlass::gemm::GemmShape<16, 16, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = float;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<16, 16, 16> >().run();
|
|
}
|
|
|
|
TEST(SM70_warp_wmma_row_col_row_f32, 64x64x16_64x64x16_16x16x16) {
|
|
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = float;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<64, 64, 16> >().run();
|
|
}
|
|
|
|
TEST(SM70_warp_wmma_row_col_row_f32, 64x64x32_64x64x32_16x16x16) {
|
|
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = float;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<64, 64, 32> >().run();
|
|
}
|
|
|
|
|
|
TEST(SM70_warp_wmma_row_col_row_f32, 128x128x16_64x64x16_16x16x16) {
|
|
// Even though the test launches 128x128x16 CTA tile this test only verfies one warp
|
|
// , i.e., warp_0 of size 64x64x16 out of the four warps required to cover the CTA
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = float;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<128, 128, 16> >().run();
|
|
}
|
|
|
|
|
|
/////////////////////////////////////////////////////////////
|
|
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
|
|
/// wmma.mma.sync.aligned.row.col.m32n8k16.f32.f32
|
|
////////////////////////////////////////////////////////////
|
|
TEST(SM70_warp_wmma_row_col_row_f32, 32x8x16_32x8x16_32x8x16) {
|
|
// Threadblock and warp with just one native WMMA operation (most basic unit test)
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 8, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<32, 8, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = float;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<32, 8, 16> >().run();
|
|
}
|
|
|
|
|
|
/////////////////////////////////////////////////////////////
|
|
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
|
|
/// wmma.mma.sync.aligned.row.col.m8n32k16.f32.f32
|
|
////////////////////////////////////////////////////////////
|
|
TEST(SM70_warp_wmma_row_col_row_f32, 8x32x16_8x32x16_8x32x16) {
|
|
// Threadblock and warp with just one native WMMA operation (most basic unit test)
|
|
using WarpShape = cutlass::gemm::GemmShape<8, 32, 16>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 32, 16>;
|
|
using ElementA = cutlass::half_t;
|
|
using ElementB = cutlass::half_t;
|
|
using ElementC = float;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using LayoutC = cutlass::layout::RowMajor;
|
|
|
|
using WmmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOpWmma<
|
|
WarpShape,
|
|
InstructionShape,
|
|
ElementA,
|
|
LayoutA,
|
|
ElementB, LayoutB,
|
|
ElementC,
|
|
LayoutC>::Type;
|
|
|
|
test::gemm::warp::Testbed<WmmaTensorOp, cutlass::gemm::GemmShape<8, 32, 16> >().run();
|
|
}
|
|
|
|
#endif //CUTLASS_ARCH_WMMA_SM70_ENABLED
|