fix broken link (#620)

Co-authored-by: yuzhai <yuzhai@nvidia.com>
This commit is contained in:
Yujia Zhai 2022-09-06 13:32:44 -07:00 committed by GitHub
parent f29d8f7ca9
commit beae168f90
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 2 additions and 2 deletions

View File

@ -4,7 +4,7 @@
* [Grouped convolution targeting implicit GEMM](test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm80.cu) * [Grouped convolution targeting implicit GEMM](test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm80.cu)
* [Depthwise separable convolution](test/unit/conv/device/depthwise_fprop_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_simt_f16_sm60.cu) * [Depthwise separable convolution](test/unit/conv/device/depthwise_fprop_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_simt_f16_sm60.cu)
* Optimizations for CUTLASS's [Grouped GEMM](examples/24_gemm_grouped/gemm_grouped.cu) kernel * Optimizations for CUTLASS's [Grouped GEMM](examples/24_gemm_grouped/gemm_grouped.cu) kernel
* [Grouped GEMM for Multihead Attention](examples/50_multi_head_attention) * [Grouped GEMM for Multihead Attention](examples/41_multi_head_attention)
* [GEMM + Layer norm fusion for Ampere](examples/37_gemm_layernorm_gemm_fusion/) * [GEMM + Layer norm fusion for Ampere](examples/37_gemm_layernorm_gemm_fusion/)
* Updates and bugfixes from the community (thanks!) * Updates and bugfixes from the community (thanks!)

View File

@ -42,7 +42,7 @@ CUTLASS 2.10 is an update to CUTLASS adding:
- [Grouped convolution targeting implicit GEMM](test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm80.cu) - [Grouped convolution targeting implicit GEMM](test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm80.cu)
- [Depthwise separable convolution](test/unit/conv/device/depthwise_fprop_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_simt_f16_sm60.cu) - [Depthwise separable convolution](test/unit/conv/device/depthwise_fprop_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_simt_f16_sm60.cu)
- Optimizations for CUTLASS's [Grouped GEMM](examples/24_gemm_grouped/gemm_grouped.cu) kernel - Optimizations for CUTLASS's [Grouped GEMM](examples/24_gemm_grouped/gemm_grouped.cu) kernel
- [Grouped GEMM for Multihead Attention](examples/50_multi_head_attention) - [Grouped GEMM for Multihead Attention](examples/41_multi_head_attention)
- [GEMM + Layer norm fusion for Ampere](examples/37_gemm_layernorm_gemm_fusion/) - [GEMM + Layer norm fusion for Ampere](examples/37_gemm_layernorm_gemm_fusion/)
- Updates and bugfixes from the community (thanks!) - Updates and bugfixes from the community (thanks!)
- **Deprecation announcement:** CUTLASS plans to deprecate the following: - **Deprecation announcement:** CUTLASS plans to deprecate the following: