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tensor_parallelism_alignment
performance-tensor-parallelism-a-when-using-tensor-parallelism-e-g-tp-4-8-with-awq--34df8bd4
IFWhen using tensor parallelism (e.g., TP=4,8) with AWQ-quantized MoE models, vLLM fails with RuntimeError: 'size_k must divisible by BLOCK_SIZE_K' during model warm-up due to misaligned K dimensions in MoE layers.
THENPad the K dimension of input activation tensor A and weight tensors (B, B_scale, B_zp) to be a multiple of BLOCK_SIZE_K (typically 128) before calling the moe_wna16_gemm kernel. For weights, perform padding once at load time to avoid dynamic overhead. For activations, use torch.nn.functional.pad dynamically in the fused MoE kernel call.
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