CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
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regular_tile_iterator_tensor_op_sm70.h File Reference

Templates implementing loading of tiles from pitch-linear rank=2 tensors. More...

#include "cutlass/cutlass.h"
#include "cutlass/array.h"
#include "cutlass/matrix_coord.h"
#include "cutlass/tensor_ref.h"
#include "cutlass/layout/pitch_linear.h"
#include "cutlass/layout/tensor_op_multiplicand_sm70.h"
#include "cutlass/transform/threadblock/regular_tile_iterator.h"
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Classes

class  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous< sizeof_bits< Element_ >::value >, AdvanceRank, ThreadMap_, Alignment >
 
struct  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous< sizeof_bits< Element_ >::value >, AdvanceRank, ThreadMap_, Alignment >::Detail
 Internal details made public to facilitate introspection. More...
 
class  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous< sizeof_bits< Element_ >::value >, AdvanceRank, ThreadMap_, Alignment >
 
class  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous< sizeof_bits< Element_ >::value >, AdvanceRank, ThreadMap_, Alignment >
 
class  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous< sizeof_bits< Element_ >::value >, AdvanceRank, ThreadMap_, Alignment >
 
struct  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous< sizeof_bits< Element_ >::value >, AdvanceRank, ThreadMap_, Alignment >::Detail
 Internal details made public to facilitate introspection. More...
 
class  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous< sizeof_bits< Element_ >::value >, AdvanceRank, ThreadMap_, Alignment >
 
class  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous< sizeof_bits< Element_ >::value >, AdvanceRank, ThreadMap_, Alignment >
 
class  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise< sizeof_bits< Element_ >::value, Shape_::kContiguous >, AdvanceRank, ThreadMap_, Alignment >
 
struct  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise< sizeof_bits< Element_ >::value, Shape_::kContiguous >, AdvanceRank, ThreadMap_, Alignment >::Detail
 Internal details made public to facilitate introspection. More...
 
class  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise< sizeof_bits< Element_ >::value, Shape_::kRow >, AdvanceRank, ThreadMap_, Alignment >
 
class  cutlass::transform::threadblock::RegularTileIterator< Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise< sizeof_bits< Element_ >::value, Shape_::kColumn >, AdvanceRank, ThreadMap_, Alignment >
 

Namespaces

 cutlass
 
 cutlass::transform
 
 cutlass::transform::threadblock
 

Detailed Description

This iterator uses masks to guard out-of-bounds accesses and visits the last "residue" tile first, with the objective of minimizing predicate mask updates during steady-state operation.

A precomputed "Params" object minimizes the amount of state that must be stored in registers, and integer addition is used to advance the pointer through memory.