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Mayank Mishra committed Feb 11, 2025
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Expand Up @@ -62,7 +62,6 @@ def forward(ctx, x: torch.Tensor, weight: torch.Tensor | None, eps: float | None
return x, weight

@staticmethod
@ensure_contiguous
def backward(ctx, x_grad: torch.Tensor, weight_grad: torch.Tensor) -> tuple[torch.Tensor | None]:
x, weight, rmsnorm_denominator, is_x_1d, eps, sequence_parallel, device_mesh = _MLP_F.pop()
output_grad = _MLP_B.pop()
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