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Fix FP8 linear layer dimension check to prevent runtime error #6393

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Fix FP8 linear layer dimension check to prevent runtime error #6393

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4 changes: 3 additions & 1 deletion colossalai/quantization/fp8.py
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Original file line number Diff line number Diff line change
Expand Up @@ -840,7 +840,9 @@ def _linear_fp8(input: torch.Tensor, weight: torch.Tensor, bias: Optional[torch.


def linear_fp8(input: torch.Tensor, weight: torch.Tensor, bias: Optional[torch.Tensor] = None) -> torch.Tensor:
if input.shape[-1] % 16 != 0 or np.prod(input.shape[:-1]) % 16 != 0:
# torch._scaled_mm requires both dimensions of matrices to be divisible by 16
# Check input dimensions and weight output dimension
if input.shape[-1] % 16 != 0 or np.prod(input.shape[:-1]) % 16 != 0 or weight.shape[0] % 16 != 0:
return F.linear(input, weight, bias)
out = _linear_fp8(input, weight, bias)
return out