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void Class — pytorch Architecture

Architecture documentation for the void class in mma_accum_lambda_iterator.h from the pytorch codebase.

Entity Profile

Source Code

aten/src/ATen/native/transformers/cuda/mem_eff_attention/gemm/mma_accum_lambda_iterator.h lines 49–80

  template <typename FA, typename FB, typename FC>
  CUTLASS_DEVICE static void iterateRows(
      cutlass::MatrixCoord& lane_offset,
      FA beginRow,
      FB op,
      FC endRow) {
    // See cutlass/gemm/warp/mma_tensor_op_tile_iterator.h
    CUTLASS_PRAGMA_UNROLL
    for (int mma_m = 0; mma_m < Policy::MmaIterations::kRow; ++mma_m) {
      CUTLASS_PRAGMA_UNROLL
      for (int row = 0; row < kAccumulatorRows; ++row) {
        int accum_m = mma_m * InstructionShape::kM * OpDelta::kRow +
            row * kRowsPerTile + lane_offset.row();
        beginRow(accum_m);

        CUTLASS_PRAGMA_UNROLL
        for (int mma_n = 0; mma_n < Policy::MmaIterations::kColumn; ++mma_n) {
          int mma_accum_start = kAccumulatorRows * kElementsPerAccess *
              (mma_n * Policy::MmaIterations::kRow + mma_m);
          CUTLASS_PRAGMA_UNROLL
          for (int col = 0; col < kElementsPerAccess; ++col) {
            int accum_n = mma_n * InstructionShape::kN * OpDelta::kColumn +
                col + lane_offset.column();
            int idx = mma_accum_start + row * kElementsPerAccess + col;
            op(accum_m, accum_n, idx);
          }
        }

        endRow(accum_m);
      }
    }
  }

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