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Solve the error "RuntimeError: BinaryCall MUDNN failed in: Run PowTensorOut" of the flux KSampler.

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hben35096 2025-05-09 23:27:23 +08:00 committed by GitHub
parent d22feacb05
commit b06b4f67cd
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1 changed files with 8 additions and 3 deletions
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comfy/ldm/flux/math.py
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@ -27,9 +27,14 @@ def rope(pos: Tensor, dim: int, theta: int) -> Tensor:
device = torch.device("cpu") device = torch.device("cpu")
else: else:
device = pos.device device = pos.device
if device.type == "musa":
scale = torch.linspace(0, (dim - 2) / dim, steps=dim//2, dtype=torch.float64, device=device) scale = torch.linspace(0, (dim - 2) / dim, steps=dim // 2, dtype=torch.float32, device=device)
omega = 1.0 / (theta**scale) if not isinstance(theta, torch.Tensor):
theta = torch.tensor(theta, dtype=torch.float32, device=device)
omega = torch.exp(-scale * torch.log(theta + 1e-6))
else:
scale = torch.linspace(0, (dim - 2) / dim, steps=dim//2, dtype=torch.float64, device=device)
omega = 1.0 / (theta**scale)
out = torch.einsum("...n,d->...nd", pos.to(dtype=torch.float32, device=device), omega) out = torch.einsum("...n,d->...nd", pos.to(dtype=torch.float32, device=device), omega)
out = torch.stack([torch.cos(out), -torch.sin(out), torch.sin(out), torch.cos(out)], dim=-1) out = torch.stack([torch.cos(out), -torch.sin(out), torch.sin(out), torch.cos(out)], dim=-1)
out = rearrange(out, "b n d (i j) -> b n d i j", i=2, j=2) out = rearrange(out, "b n d (i j) -> b n d i j", i=2, j=2)