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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. * **************************************************************************************************/ /*! \file \brief Unit tests for thread-level GEMM */ #include "../../common/cutlass_unit_test.h" #include "cutlass/aligned_buffer.h" #include "cutlass/half.h" #include "cutlass/gemm/warp/default_mma_tensor_op.h" #include "cutlass/core_io.h" #include "cutlass/util/host_tensor.h" #include "cutlass/util/tensor_view_io.h" #include "cutlass/util/reference/host/tensor_fill.h" #include "cutlass/util/reference/host/tensor_compare.h" #include "cutlass/util/reference/host/gemm.h" #include "testbed.h" #if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED) //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x32_64x64x32_16x8x16) { using Shape = cutlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x32_64x32x32_16x8x16) { using Shape = cutlass::gemm::GemmShape<64, 32, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x32_32x32x32_16x8x16) { using Shape = cutlass::gemm::GemmShape<32, 32, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x32_32x16x32_16x8x16) { using Shape = cutlass::gemm::GemmShape<32, 16, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x32_16x16x32_16x8x16) { using Shape = cutlass::gemm::GemmShape<16, 16, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x64_64x64x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<64, 64, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x64_64x32x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<64, 32, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x64_32x32x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<32, 32, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x64_32x16x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<32, 16, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f16, 128x128x64_16x16x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<16, 16, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_64x64x16_16x8x8) { using Shape = cutlass::gemm::GemmShape<64, 64, 16>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_64x32x16_16x8x8) { using Shape = cutlass::gemm::GemmShape<64, 32, 16>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_32x32x16_16x8x8) { using Shape = cutlass::gemm::GemmShape<32, 32, 16>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_32x16x16_16x8x8) { using Shape = cutlass::gemm::GemmShape<32, 16, 16>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_16x16x16_16x8x8) { using Shape = cutlass::gemm::GemmShape<16, 16, 16>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 16>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_64x64x32_16x8x8) { using Shape = cutlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_64x32x32_16x8x8) { using Shape = cutlass::gemm::GemmShape<64, 32, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_32x32x32_16x8x8) { using Shape = cutlass::gemm::GemmShape<32, 32, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_32x16x32_16x8x8) { using Shape = cutlass::gemm::GemmShape<32, 16, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_16x16x32_16x8x8) { using Shape = cutlass::gemm::GemmShape<16, 16, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_f16, 128x128x32_64x64x32_16x8x16) { using Shape = cutlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_f16, 128x128x32_32x32x32_16x8x16) { using Shape = cutlass::gemm::GemmShape<32, 32, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_f16, 128x128x64_64x64x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<64, 64, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_f16, 128x128x64_32x32x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<32, 32, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = cutlass::half_t; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_tf32, 128x128x16_64x64x16_16x8x8) { using Shape = cutlass::gemm::GemmShape<64, 64, 16>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_tf32, 128x128x16_32x32x16_16x8x8) { using Shape = cutlass::gemm::GemmShape<32, 32, 16>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_tf32, 128x128x32_64x64x32_16x8x8) { using Shape = cutlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_tf32, 128x128x32_32x32x32_16x8x8) { using Shape = cutlass::gemm::GemmShape<32, 32, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_tn, tf32_round_128x128x32_64x64x32_16x8x8) { using Shape = cutlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = float; using ElementC = float; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::TransformTestbed >() .run(); } TEST(SM80_warp_gemm_tensor_op_nt, tf32_round_128x128x32_64x64x32_16x8x8) { using Shape = cutlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = float; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::TransformTestbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_16x16x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<16, 16, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_32x16x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<32, 16, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_32x32x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<32, 32, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_64x32x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<64, 32, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_64x64x64_16x8x16) { using Shape = cutlass::gemm::GemmShape<64, 64, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_16x16x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<16, 16, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_32x16x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<32, 16, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_32x32x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<32, 32, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_64x32x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<64, 32, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x64_64x64x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<64, 64, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 32>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x64_64x64x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<64, 64, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x64_64x32x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<64, 32, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x64_32x32x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<32, 32, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x64_32x16x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<32, 16, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x64_16x16x64_16x8x32) { using Shape = cutlass::gemm::GemmShape<16, 16, 64>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x128_64x64x128_16x8x32) { using Shape = cutlass::gemm::GemmShape<64, 64, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x128_64x32x128_16x8x32) { using Shape = cutlass::gemm::GemmShape<64, 32, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x128_32x32x128_16x8x32) { using Shape = cutlass::gemm::GemmShape<32, 32, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x128_32x16x128_16x8x32) { using Shape = cutlass::gemm::GemmShape<32, 16, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i8, 128x128x128_16x16x128_16x8x32) { using Shape = cutlass::gemm::GemmShape<16, 16, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>; using Element = int8_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x128_64x64x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<64, 64, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x128_64x32x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<64, 32, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x128_32x32x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<32, 32, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x128_32x16x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<32, 16, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x128_16x16x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<16, 16, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 128>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x256_64x64x256_16x8x64) { using Shape = cutlass::gemm::GemmShape<64, 64, 256>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x256_64x32x256_16x8x64) { using Shape = cutlass::gemm::GemmShape<64, 32, 256>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x256_32x32x256_16x8x64) { using Shape = cutlass::gemm::GemmShape<32, 32, 256>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x256_32x16x256_16x8x64) { using Shape = cutlass::gemm::GemmShape<32, 16, 256>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_i4, 128x128x256_16x16x256_16x8x64) { using Shape = cutlass::gemm::GemmShape<16, 16, 256>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 256>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x512_64x64x512_16x8x256) { using Shape = cutlass::gemm::GemmShape<64, 64, 512>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x512_64x32x512_16x8x256) { using Shape = cutlass::gemm::GemmShape<64, 32, 512>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x512_32x32x512_16x8x256) { using Shape = cutlass::gemm::GemmShape<32, 32, 512>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x512_32x16x512_16x8x256) { using Shape = cutlass::gemm::GemmShape<32, 16, 512>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x512_16x16x512_16x8x256) { using Shape = cutlass::gemm::GemmShape<16, 16, 512>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 512>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x1024_64x64x1024_16x8x256) { using Shape = cutlass::gemm::GemmShape<64, 64, 1024>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x1024_64x32x1024_16x8x256) { using Shape = cutlass::gemm::GemmShape<64, 32, 1024>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x1024_32x32x1024_16x8x256) { using Shape = cutlass::gemm::GemmShape<32, 32, 1024>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x1024_32x16x1024_16x8x256) { using Shape = cutlass::gemm::GemmShape<32, 16, 1024>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_b1, 128x128x1024_16x16x1024_16x8x256) { using Shape = cutlass::gemm::GemmShape<16, 16, 1024>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 256>; using Element = cutlass::uint1b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 1024>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_f64, 16x16x4_16x16x4_8x8x4) { using Shape = cutlass::gemm::GemmShape<16, 16, 4>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_f64, 32x16x4_32x16x4_8x8x4) { using Shape = cutlass::gemm::GemmShape<32, 16, 4>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_f64, 32x32x4_32x32x4_8x8x4) { using Shape = cutlass::gemm::GemmShape<32, 32, 4>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_congruous_f64, 32x64x4_32x64x4_8x8x4) { using Shape = cutlass::gemm::GemmShape<32, 64, 4>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous64b; using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous64b; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f64, 16x16x16_16x16x16_8x8x4) { using Shape = cutlass::gemm::GemmShape<16, 16, 16>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f64, 32x32x16_32x32x16_8x8x4) { using Shape = cutlass::gemm::GemmShape<32, 32, 16>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f64, 64x32x16_64x32x16_8x8x4) { using Shape = cutlass::gemm::GemmShape<64, 32, 16>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_crosswise_f64, 32x64x16_32x64x16_8x8x4) { using Shape = cutlass::gemm::GemmShape<32, 64, 16>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicand64bCrosswise; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicand64bCrosswise; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x128_16x16x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<16, 16, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x128_32x16x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<32, 16, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x128_32x32x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<32, 32, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x128_64x32x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<64, 32, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_interleaved, 128x128x128_64x64x128_16x8x64) { using Shape = cutlass::gemm::GemmShape<64, 64, 128>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>; using Element = cutlass::int4b_t; using ElementC = int; using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise< cutlass::sizeof_bits::value, 64>; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddSaturate>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_canonical_f64_row_col, 32x32x8_64x32x8_8x8x4) { using Shape = cutlass::gemm::GemmShape<32, 32, 4>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::RowMajor; using LayoutB = cutlass::layout::ColumnMajor; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_canonical_f64_col_row, 32x32x8_64x32x8_8x8x4) { using Shape = cutlass::gemm::GemmShape<32, 32, 4>; using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>; using Element = double; using ElementC = double; using LayoutA = cutlass::layout::ColumnMajor; using LayoutB = cutlass::layout::RowMajor; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_canonical_tf32_row_col, 32x32x8_64x32x8_8x8x4) { using Shape = cutlass::gemm::GemmShape<32, 32, 8>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::RowMajor; using LayoutB = cutlass::layout::ColumnMajor; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(SM80_warp_gemm_tensor_op_canonical_tf32_col_row, 32x32x8_64x32x8_8x8x4) { using Shape = cutlass::gemm::GemmShape<32, 32, 8>; using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>; using Element = cutlass::tfloat32_t; using ElementC = float; using LayoutA = cutlass::layout::ColumnMajor; using LayoutB = cutlass::layout::RowMajor; using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, cutlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// #endif // if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)