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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
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.
```c++