@@ -179,6 +179,111 @@ TEST(SM80_sparse_gemm_threadblock_congruous,
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_sparse_gemm_threadblock_congruous,
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tensor_op_128x32x64_32x32x64_16x8x32_4stage) {
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using ElementA = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using ElementB = cutlass::half_t;
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using LayoutB = cutlass::layout::RowMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(128, 32, 512);
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using ThreadblockShape = cutlass::gemm::GemmShape<128, 32, 64>;
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using WarpShape = cutlass::gemm::GemmShape<32, 32, 64>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
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float alpha = 1.f;
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float beta = 0.0f;
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int const Stages = 4;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultSparseMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp,
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Stages>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::SparseTestbed<MmaCore>(
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problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_sparse_gemm_threadblock_congruous,
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tensor_op_32x256x128_32x64x128_16x8x32_4stage) {
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using ElementA = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using ElementB = cutlass::half_t;
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using LayoutB = cutlass::layout::RowMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(32, 256, 512);
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using ThreadblockShape = cutlass::gemm::GemmShape<32, 256, 128>;
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using WarpShape = cutlass::gemm::GemmShape<32, 64, 128>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
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float alpha = 1.f;
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float beta = 0.0f;
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int const Stages = 4;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultSparseMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp,
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Stages>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::SparseTestbed<MmaCore>(
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problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_sparse_gemm_threadblock_congruous,
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tensor_op_128x16x64_32x16x64_16x8x32_4stage) {
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using ElementA = cutlass::half_t;
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using LayoutA = cutlass::layout::ColumnMajor;
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using ElementB = cutlass::half_t;
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using LayoutB = cutlass::layout::RowMajor;
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using ElementC = float;
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using LayoutC = cutlass::layout::ColumnMajor;
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cutlass::gemm::GemmCoord problem_size(128, 16, 512);
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using ThreadblockShape = cutlass::gemm::GemmShape<128, 16, 64>;
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using WarpShape = cutlass::gemm::GemmShape<32, 16, 64>;
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using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
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float alpha = 1.f;
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float beta = 0.0f;
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int const Stages = 4;
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// Define the MmaCore components
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using MmaCore = typename cutlass::gemm::threadblock::DefaultSparseMmaCore<
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ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp,
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Stages>;
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dim3 grid(1, 1);
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dim3 block(32, 4, 1);
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test::gemm::threadblock::SparseTestbed<MmaCore>(
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problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
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.run(grid, block);
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}
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////////////////////////////////////////////////////////////////////////////////
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TEST(SM80_sparse_gemm_threadblock_congruous,
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tensor_op_128x128x64_64x64x64_16x8x32_4stage) {
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using ElementA = cutlass::half_t;
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