Updates for 3.4 release. (#1305)
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@@ -10,7 +10,7 @@
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"This notebook walks through a basic example of using the CUTLASS Python interface to declare\n",
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"a grouped GEMM kernel and export it as a PyTorch CUDA extension. Note that GEMM and Conv2d can also be exported as PyTorch CUDA extensions. \n",
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"\n",
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"[](https://colab.research.google.com/github/NVIDIA/cutlass/tree/master/examples/python/02_pytorch_extension_grouped_gemm.ipynb)\n"
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"[](https://colab.research.google.com/github/NVIDIA/cutlass/blob/main/examples/python/02_pytorch_extension_grouped_gemm.ipynb)\n"
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]
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},
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{
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