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moe_wna16_kernel_alignment
performance-moe-wna16-kernel-ali-runtimeerror-size-k-must-divisible-by-block-size-k-c832c88f
IFRuntimeError: size_k must divisible by BLOCK_SIZE_K during model warm-up when using tensor parallelism with AWQ-quantized MoE models.
THENPad the K dimension of the input activation tensor and the weight tensors (B, B_scale, B_zp) to the next multiple of BLOCK_SIZE_K before calling moe_wna16_gemm. For activation padding, use torch.nn.functional.pad in fused_moe.py. For weight tensors, pad them once at load time to avoid runtime overhead.
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