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CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
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#include <matrix.h>
Public Types | |
| using | Index = int32_t |
| Index type used for coordinates. More... | |
| using | LongIndex = int64_t |
| Long index type used for offsets. More... | |
| using | TensorCoord = MatrixCoord |
| Logical coordinate. More... | |
| using | Stride = Coord< kStrideRank, Index > |
| Stride vector. More... | |
Public Member Functions | |
| CUTLASS_HOST_DEVICE | ContiguousMatrix (Index ldm=0, Matrix layout=Matrix::kColumnMajor) |
| Ctor. More... | |
| CUTLASS_HOST_DEVICE LongIndex | operator() (MatrixCoord const &coord) const |
| CUTLASS_HOST_DEVICE MatrixCoord | inverse (LongIndex offset) const |
| Inverse of layout function, mapping linear offset to logical coordinate. More... | |
| CUTLASS_HOST_DEVICE Stride | stride () const |
| Returns the stride of the layout. More... | |
| CUTLASS_HOST_DEVICE Stride & | stride () |
| Returns the stride of the layout. More... | |
| CUTLASS_HOST_DEVICE Index | stride (int idx) const |
| Returns the stride of the layout. More... | |
| CUTLASS_HOST_DEVICE Index & | stride (int idx) |
| Returns the stride of the layout. More... | |
| CUTLASS_HOST_DEVICE LongIndex | capacity (MatrixCoord const &extent) const |
| Compute the number of contiguous elements needed to store a tensor with the given size. More... | |
Static Public Member Functions | |
| static CUTLASS_HOST_DEVICE ContiguousMatrix | packed (MatrixCoord const &extent, Matrix layout=Matrix::kColumnMajor) |
| Helper returns a layout to a tightly packed tensor. More... | |
Static Public Attributes | |
| static int const | kRank = 2 |
| Logical rank of tensor. More... | |
| static int const | kStrideRank = 1 |
| Rank of stride vector. More... | |
Mapping function for scenario in which layout is row-major or column-major but this information is only available at runtime.
| using cutlass::layout::ContiguousMatrix::Index = int32_t |
| using cutlass::layout::ContiguousMatrix::LongIndex = int64_t |
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Returns the offset of a coordinate in linear memory. Assumes coordinate has convention (row, column)
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1.8.11