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[fp8] linear perf enhancement #6005

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Aug 15, 2024
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[fp8] linear perf enhancement #6005

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5 changes: 1 addition & 4 deletions colossalai/quantization/fp8.py
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Original file line number Diff line number Diff line change
Expand Up @@ -728,14 +728,11 @@ def backward(ctx: Any, out_grad) -> Any:
return x_grad.reshape(ctx.x_shape), w_grad, bias_grad


@torch.compile(mode="reduce-overhead", disable=not SUPPORT_TORCH_COMPILE)
@torch.compile(mode="max-autotune-no-cudagraphs", disable=not SUPPORT_TORCH_COMPILE, dynamic=False)
def _linear_fp8(input: torch.Tensor, weight: torch.Tensor, bias: Optional[torch.Tensor] = None) -> torch.Tensor:
return _LinearFp8.apply(input, weight, bias)


def linear_fp8(input: torch.Tensor, weight: torch.Tensor, bias: Optional[torch.Tensor] = None) -> torch.Tensor:
out = _linear_fp8(input, weight, bias)
if SUPPORT_TORCH_COMPILE:
# avoid modifying the tensor created from cuda graph
out = out.clone()
return out