You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Batched gemm doesn't support different GEMM sizes.
For grouped gemm, we have two (potential) implementations:
cublasGemmGroupedBatchedEx(). The performance is not as good as the multi-stream implementation, and it doesn't support FP8 for now.
Cutlass. We evaluate the performance with GEMM sizes from popular MoE models, including Mixtral 8x7B, 8x22B, Qwen2-57B-A14B, and DeepSeek v2, multi-stream calls to cuBLASLt shows better performance in most cases.
We will keep exploring the performance of grouped gemm, and would add them to TE if there were better implementaions.
Hi,i noticed that in our multi-stream implementation of group linear, we didn't use batchgemm or groupgemm. Is there any particular reason for this?
The text was updated successfully, but these errors were encountered: