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Rope in float32 for mps or npu compatibility #12665

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Nov 15, 2025
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Rope in float32 for mps or npu compatibility #12665

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7 changes: 6 additions & 1 deletion src/diffusers/models/transformers/transformer_prx.py
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Expand Up @@ -275,7 +275,12 @@ def __init__(self, dim: int, theta: int, axes_dim: List[int]):

def rope(self, pos: torch.Tensor, dim: int, theta: int) -> torch.Tensor:
assert dim % 2 == 0
scale = torch.arange(0, dim, 2, dtype=torch.float64, device=pos.device) / dim

is_mps = pos.device.type == "mps"
is_npu = pos.device.type == "npu"
dtype = torch.float32 if (is_mps or is_npu) else torch.float64

scale = torch.arange(0, dim, 2, dtype=dtype, device=pos.device) / dim
omega = 1.0 / (theta**scale)
out = pos.unsqueeze(-1) * omega.unsqueeze(0)
out = torch.stack([torch.cos(out), -torch.sin(out), torch.sin(out), torch.cos(out)], dim=-1)
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