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fix(quant_ops): implement __torch_function__ to support torch.empty_like for mock QuantizedTensor

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Signed-off-by: Macpaul Lin <macpaul@gmail.com>
This commit is contained in:
Macpaul Lin 2026-01-08 22:58:36 +08:00
parent 96803b16c0
commit ea3ec049bd
1 changed files with 12 additions and 0 deletions
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12
comfy/quant_ops.py
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@ -118,6 +118,18 @@ except ImportError as e:
return self._layout_params return self._layout_params
raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'") raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
@classmethod
def __torch_function__(cls, func, types, args=(), kwargs=None):
if kwargs is None:
kwargs = {}
if func is torch.empty_like:
input_t = args[0]
if isinstance(input_t, cls):
dtype = kwargs.get("dtype", input_t.dtype)
device = kwargs.get("device", input_t.device)
return torch.empty(input_t.shape, dtype=dtype, device=device)
return NotImplemented
def __torch_dispatch__(self, func, types, args=(), kwargs=None): def __torch_dispatch__(self, func, types, args=(), kwargs=None):
return NotImplemented return NotImplemented