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fix broken links (#148)

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Yang Wang 2020-11-20 13:46:54 +08:00 committed by GitHub
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media/docs/implicit_gemm_convolution.md
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@ -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++