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[Docs] fix docstring for issue #709 (#710) 

fix docstring

fixes #709
This commit is contained in:
Kashif Rasul 2022-10-04 15:06:11 +02:00 committed by GitHub
parent 4ff4d4db12
commit f1b9ee7ed9
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2 changed files with 2 additions and 2 deletions
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2
src/diffusers/models/unet_2d.py
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@ -170,7 +170,7 @@ class UNet2DModel(ModelMixin, ConfigMixin):
timestep: Union[torch.Tensor, float, int], timestep: Union[torch.Tensor, float, int],
return_dict: bool = True, return_dict: bool = True,
) -> Union[UNet2DOutput, Tuple]: ) -> Union[UNet2DOutput, Tuple]:
"""r r"""
Args: Args:
sample (`torch.FloatTensor`): (batch, channel, height, width) noisy inputs tensor sample (`torch.FloatTensor`): (batch, channel, height, width) noisy inputs tensor
timestep (`torch.FloatTensor` or `float` or `int): (batch) timesteps timestep (`torch.FloatTensor` or `float` or `int): (batch) timesteps

2
src/diffusers/models/unet_2d_condition_flax.py
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@ -215,7 +215,7 @@ class FlaxUNet2DConditionModel(nn.Module, FlaxModelMixin, ConfigMixin):
return_dict: bool = True, return_dict: bool = True,
train: bool = False, train: bool = False,
) -> Union[FlaxUNet2DConditionOutput, Tuple]: ) -> Union[FlaxUNet2DConditionOutput, Tuple]:
"""r r"""
Args: Args:
sample (`jnp.ndarray`): (channel, height, width) noisy inputs tensor sample (`jnp.ndarray`): (channel, height, width) noisy inputs tensor
timestep (`jnp.ndarray` or `float` or `int`): timesteps timestep (`jnp.ndarray` or `float` or `int`): timesteps