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# Examples

- Basic GEMM
  - Declaring and running a GEMM
  - Changing operation modes
  - Running cached kernels
  - Running non-default GEMMs
  - Handling errors
- Epilogue
  - Run a GEMM with an identity activation function
  - Run a GEMM with a ReLU element-wise activation function
  - Other element-wise activation functions
- PyTorch Extension
  - Background on grouped GEMM
  - Declaring a grouped GEMM via the CUTLASS Python interface
  - Exporting the CUTLASS kernel to a PyTorch CUDA extension