CUTLASS 2.5
This commit is contained in:
@@ -1,5 +1,5 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
||||
* provided that the following conditions are met:
|
||||
@@ -133,7 +133,9 @@ namespace device {
|
||||
/// Operator class tag
|
||||
typename OperatorClass,
|
||||
|
||||
/// Tag indicating architecture to tune for
|
||||
/// Tag indicating architecture to tune for. This is the minimum SM that
|
||||
/// supports the intended feature. The device kernel can be built
|
||||
/// targeting any SM larger than this number.
|
||||
typename ArchTag,
|
||||
|
||||
/// Threadblock-level tile size (concept: GemmShape)
|
||||
@@ -257,8 +259,7 @@ class GemmArray {
|
||||
ThreadblockSwizzle,
|
||||
kStages,
|
||||
false,
|
||||
Operator,
|
||||
false
|
||||
Operator
|
||||
>::GemmKernel;
|
||||
|
||||
using GemmKernel = kernel::GemmArray<typename DefaultGemmKernel::Mma, typename DefaultGemmKernel::Epilogue, ThreadblockSwizzle>;
|
||||
|
||||
Reference in New Issue
Block a user