leavelet/cutlass
1
0
Fork 0
Code Issues Pull Requests Actions 26 Packages Projects Releases Wiki Activity

fix broken links (#148)

Browse Source
This commit is contained in:
Yang Wang
2020-11-19 21:46:54 -08:00
committed by GitHub
parent 6615010cd0
commit e6bcdc60cf
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files
media/docs/implicit_gemm_convolution.md
+1 -1
View File
@@ -165,7 +165,7 @@ This enables 128-bit vector memory acceses which lead to efficient CUDA kernels.
CUTLASS defines CUDA C++ templates accepting numerous template arguments to specialize the resulting CUTLASS defines CUDA C++ templates accepting numerous template arguments to specialize the resulting
kernel by operation, data type, tile configuration, math instruction, and fused output operation. kernel by operation, data type, tile configuration, math instruction, and fused output operation.
In [09_turing_tensorop_conv2dfprop.cu](/examples/09_turing_tensorop_conv2dfprop/09_turing_tensorop_conv2dfprop.cu), a convolution In [turing_tensorop_conv2dfprop.cu](/examples/09_turing_tensorop_conv2dfprop/turing_tensorop_conv2dfprop.cu), a convolution
operation is defined as follows. operation is defined as follows.
```c++ ```c++