| CUTLASS CUDA Templates for Linear Algebra Subroutines and Solvers

- Main Page
- Modules
- Namespaces
- Classes
- Files

- Class List
- Class Index
- Class Hierarchy
- Class Members

Classes | Public Types | Public Member Functions | List of all members
cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ > Class Template Reference

Epilogue operator.

`#include <direct_epilogue_tensor_op.h>`

## Classes
struct | Params
| Parameters structure for host-constructible state. More...
struct | SharedStorage
| Shared storage allocation needed by the epilogue. More...

## Public Types
using | Shape = Shape_
using | Operator = Operator_
using | WarpCount = gemm::GemmShape< Shape::kM/Operator::Shape::kM, Shape::kN/Operator::Shape::kN, PartitionsK, >
| Number of warps spanning threadblock-scoped tile. More...
using | FragmentC = typename Operator::FragmentC
| Accumulator tile is really the warp-scoped tile. More...
using | Element = Element_
| Data type of output tensor. More...
using | Layout = layout::RowMajor
| Output layout is always row-major. More...
using | OutputOp = OutputOp_
| Function operator computing final output. More...
using | ConvertOp = ConvertOp_
| Conversion operator to shared memory. More...
using | TensorRef = TensorRef< Element, Layout::kRank, Layout >
| Reference to source and destination tensors. More...

## Public Member Functions
CUTLASS_DEVICE | DirectEpilogueTensorOp (Params const &params, SharedStorage &shared_storage, int thread_idx, int warp_idx, int lane_idx)
| Constructor. More...
CUTLASS_DEVICE void | operator() (gemm::GemmCoord problem_size, gemm::GemmCoord tb_tile_coord, FragmentC const &accumulators)
| Streams the result to global memory. More...

## Member Typedef Documentation

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

using cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::ConvertOp = ConvertOp_

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

using cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::Element = Element_

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

using cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::FragmentC = typename Operator::FragmentC

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

using cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::Layout = layout::RowMajor

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

using cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::Operator = Operator_

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

using cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::OutputOp = OutputOp_

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

using cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::Shape = Shape_

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

using cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::TensorRef = TensorRef<Element, Layout::kRank, Layout>

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

using cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::WarpCount = gemm::GemmShape< Shape::kM / Operator::Shape::kM, Shape::kN / Operator::Shape::kN, PartitionsK, >

## Constructor & Destructor Documentation

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

CUTLASS_DEVICE cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::DirectEpilogueTensorOp | ( | Params const & | params,
|  | SharedStorage & | shared_storage,
|  | int | thread_idx,
|  | int | warp_idx,
|  | int | lane_idx
| ) |  |
| inline

Parameters

  params | Host-constructable params object
  shared_storage | Shared storage object
  thread_idx | ID of a thread within the threadblock
  warp_idx | ID of warp within threadblock
  lane_idx | Id of thread within warp

## Member Function Documentation

template<typename Shape_ , typename Operator_ , int PartitionsK, typename Element_ , typename OutputOp_ , typename ConvertOp_ >

CUTLASS_DEVICE void cutlass::epilogue::threadblock::DirectEpilogueTensorOp< Shape_, Operator_, PartitionsK, Element_, OutputOp_, ConvertOp_ >::operator() | ( | gemm::GemmCoord | problem_size,
|  | gemm::GemmCoord | tb_tile_coord,
|  | FragmentC const & | accumulators
| ) |  |
| inline

< Accumulator tile

Number of mma operations performed

Parameters

  problem_size | Problem size of GEMM (units of ElementC)
  tb_tile_coord | Threadblock tile coordinate in GEMM (in units of threadblock tiles)

The documentation for this class was generated from the following file:

- direct_epilogue_tensor_op.h