CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
mma_simt_policy.h
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30 #pragma once
31 
32 #include "cutlass/cutlass.h"
33 
34 namespace cutlass {
35 namespace gemm {
36 namespace warp {
37 
39 
41 template <
42  typename WarpShape_,
43  typename LaneLayout_,
44  typename LaneMmaShape_
45 >
46 struct MmaSimtPolicy {
47  using WarpShape = WarpShape_;
48  using LaneLayout = LaneLayout_;
49  using LaneMmaShape = LaneMmaShape_;
51 
55  return LaneLayout::packed({WarpShape::kRow, WarpShape::kColumn});
56  }
57 };
58 
60 
61 } // namespace warp
62 } // namespace gemm
63 } // namespace cutlass
LaneMmaShape MmaShape
Definition: mma_simt_policy.h:50
Definition: aligned_buffer.h:35
Describes the arrangement and configuration of per-lane operations in warp-level matrix multiply...
Definition: mma_simt_policy.h:46
#define CUTLASS_HOST_DEVICE
Definition: cutlass.h:89
static CUTLASS_HOST_DEVICE LaneLayout get_lane_layout()
Returns a layout functor mapping lane position in the warp to thread ID.
Definition: mma_simt_policy.h:54
WarpShape_ WarpShape
Definition: mma_simt_policy.h:47
LaneLayout_ LaneLayout
Definition: mma_simt_policy.h:48
Basic include for CUTLASS.
LaneMmaShape_ LaneMmaShape
Definition: mma_simt_policy.h:49