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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/hytlass_unit_test.h" #include "hytlass/aligned_buffer.h" #include "hytlass/half.h" #include "hytlass/gemm/warp/default_mma_tensor_op.h" #include "hytlass/core_io.h" #include "hytlass/util/host_tensor.h" #include "hytlass/util/tensor_view_io.h" #include "hytlass/util/reference/host/tensor_fill.h" #include "hytlass/util/reference/host/tensor_compare.h" #include "hytlass/util/reference/host/gemm.h" #include "testbed.h" //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_congruous_f16, 128x128x16_32x128x16_16x16x16) { using Shape = hytlass::gemm::GemmShape<32, 128, 16>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 16>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::ColumnMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using LayoutB = hytlass::layout::RowMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_congruous_f16, 128x128x32_64x64x32_16x16x16) { using Shape = hytlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 16>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::ColumnMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using LayoutB = hytlass::layout::RowMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_congruous_f16, 128x128x32_32x32x32_16x16x16) { using Shape = hytlass::gemm::GemmShape<32, 32, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 16>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::ColumnMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using LayoutB = hytlass::layout::RowMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_congruous_f16, 32x32x32_32x32x32_16x16x16) { using Shape = hytlass::gemm::GemmShape<32, 32, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 16>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::ColumnMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using LayoutB = hytlass::layout::RowMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x32_64x64x32_16x16x16) { using Shape = hytlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 16>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x32_64x32x32_16x16x16) { using Shape = hytlass::gemm::GemmShape<64, 32, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 16>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x32_32x32x32_16x16x16) { using Shape = hytlass::gemm::GemmShape<32, 32, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 16>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x32_32x16x32_16x16x16) { using Shape = hytlass::gemm::GemmShape<32, 16, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 16>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x32_16x16x32_16x16x16) { using Shape = hytlass::gemm::GemmShape<16, 16, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 16>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x64_64x64x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<64, 64, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x64_64x32x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<64, 32, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x64_32x32x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<32, 32, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x64_32x16x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<32, 16, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_f16, 128x128x64_16x16x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<16, 16, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = hytlass::half_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise128b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_i8, 128x128x64_64x64x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<64, 64, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_i8, 128x128x64_64x32x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<64, 32, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_i8, 128x128x64_32x32x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<32, 32, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_i8, 128x128x64_32x16x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<32, 16, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_i8, 128x128x64_16x16x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<16, 16, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 64>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_i8, 128x128x64_64x64x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<64, 64, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_i8, 128x128x64_64x32x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<64, 32, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_i8, 128x128x64_32x32x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<32, 32, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_i8, 128x128x64_32x16x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<32, 16, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_i8, 128x128x64_16x16x64_16x16x32) { using Shape = hytlass::gemm::GemmShape<16, 16, 64>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 32>; using Element = int8_t; using ElementC = int; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor, hytlass::arch::OpMultiplyAdd>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_64x64x16_16x16x8) { using Shape = hytlass::gemm::GemmShape<64, 64, 16>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_64x32x16_16x16x8) { using Shape = hytlass::gemm::GemmShape<64, 32, 16>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_32x32x16_16x16x8) { using Shape = hytlass::gemm::GemmShape<32, 32, 16>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_32x16x16_16x16x8) { using Shape = hytlass::gemm::GemmShape<32, 16, 16>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x16_16x16x16_16x16x8) { using Shape = hytlass::gemm::GemmShape<16, 16, 16>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 16>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_64x64x32_16x16x8) { using Shape = hytlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_64x32x32_16x16x8) { using Shape = hytlass::gemm::GemmShape<64, 32, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_32x32x32_16x16x8) { using Shape = hytlass::gemm::GemmShape<32, 32, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_32x16x32_16x16x8) { using Shape = hytlass::gemm::GemmShape<32, 16, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_crosswise_tf32, 128x128x32_16x16x32_16x16x8) { using Shape = hytlass::gemm::GemmShape<16, 16, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::RowMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using LayoutB = hytlass::layout::ColumnMajorTensorOpMultiplicandCrosswise64b< hytlass::sizeof_bits::value, 32>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_congruous_tf32, 128x128x16_64x64x16_16x16x8) { using Shape = hytlass::gemm::GemmShape<64, 64, 16>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::ColumnMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using LayoutB = hytlass::layout::RowMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_congruous_tf32, 128x128x16_32x32x16_16x16x8) { using Shape = hytlass::gemm::GemmShape<32, 32, 16>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::ColumnMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using LayoutB = hytlass::layout::RowMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_congruous_tf32, 128x128x32_64x64x32_16x16x8) { using Shape = hytlass::gemm::GemmShape<64, 64, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::ColumnMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using LayoutB = hytlass::layout::RowMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } //////////////////////////////////////////////////////////////////////////////// TEST(GFX928_warp_gemm_tensor_op_congruous_tf32, 128x128x32_32x32x32_16x16x8) { using Shape = hytlass::gemm::GemmShape<32, 32, 32>; using InstructionShape = hytlass::gemm::GemmShape<16, 16, 8>; using Element = hytlass::tfloat32_t; using ElementC = float; using LayoutA = hytlass::layout::ColumnMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using LayoutB = hytlass::layout::RowMajorNaiveTensorOpMultiplicandCongruous< hytlass::sizeof_bits::value>; using MmaTensorOp = typename hytlass::gemm::warp::DefaultMmaTensorOp< Shape, InstructionShape, Element, LayoutA, Element, LayoutB, ElementC, hytlass::layout::RowMajor>::Type; test::gemm::warp::Testbed >() .run(); } ////////////////////////////////////////////////////////////////////////////////