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[Black] Update black (#433)
* Update black * update table
1 parent 44968e4 commit b2b3b1a

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9 files changed

+3
-16
lines changed

9 files changed

+3
-16
lines changed

examples/textual_inversion/textual_inversion.py

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@@ -238,7 +238,6 @@ def __init__(
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placeholder_token="*",
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center_crop=False,
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):
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self.data_root = data_root
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self.tokenizer = tokenizer
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self.learnable_property = learnable_property

setup.py

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@@ -78,7 +78,7 @@
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_deps = [
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"Pillow",
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"accelerate>=0.11.0",
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"black==22.3",
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"black==22.8",
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"datasets",
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"filelock",
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"flake8>=3.8.3",
@@ -167,7 +167,7 @@ def run(self):
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extras = {}
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extras["quality"] = ["black==22.3", "isort>=5.5.4", "flake8>=3.8.3", "hf-doc-builder"]
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extras["quality"] = ["black==22.8", "isort>=5.5.4", "flake8>=3.8.3", "hf-doc-builder"]
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extras["docs"] = ["hf-doc-builder"]
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extras["training"] = ["accelerate", "datasets", "tensorboard", "modelcards"]
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extras["test"] = ["datasets", "onnxruntime", "pytest", "pytest-timeout", "pytest-xdist", "scipy", "transformers"]

src/diffusers/dependency_versions_table.py

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@@ -4,7 +4,7 @@
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deps = {
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"Pillow": "Pillow",
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"accelerate": "accelerate>=0.11.0",
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"black": "black==22.3",
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"black": "black==22.8",
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"datasets": "datasets",
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"filelock": "filelock",
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"flake8": "flake8>=3.8.3",

src/diffusers/models/unet_blocks.py

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@@ -979,7 +979,6 @@ def __init__(
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def forward(self, hidden_states, res_hidden_states_tuple, temb=None):
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for resnet, attn in zip(self.resnets, self.attentions):
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# pop res hidden states
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res_hidden_states = res_hidden_states_tuple[-1]
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res_hidden_states_tuple = res_hidden_states_tuple[:-1]
@@ -1075,7 +1074,6 @@ def set_attention_slice(self, slice_size):
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def forward(self, hidden_states, res_hidden_states_tuple, temb=None, encoder_hidden_states=None):
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for resnet, attn in zip(self.resnets, self.attentions):
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# pop res hidden states
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res_hidden_states = res_hidden_states_tuple[-1]
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res_hidden_states_tuple = res_hidden_states_tuple[:-1]
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def forward(self, hidden_states, res_hidden_states_tuple, temb=None):
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for resnet in self.resnets:
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# pop res hidden states
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res_hidden_states = res_hidden_states_tuple[-1]
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res_hidden_states_tuple = res_hidden_states_tuple[:-1]

src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py

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@@ -691,7 +691,6 @@ def forward(
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output_hidden_states=None,
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return_dict=None,
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):
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outputs = self.model(
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input_ids,
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attention_mask=attention_mask,

src/diffusers/pipelines/latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py

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@@ -38,7 +38,6 @@ def __call__(
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return_dict: bool = True,
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**kwargs,
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) -> Union[Tuple, ImagePipelineOutput]:
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r"""
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Args:
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batch_size (`int`, *optional*, defaults to 1):

src/diffusers/schedulers/scheduling_ddpm.py

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@@ -94,7 +94,6 @@ def __init__(
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clip_sample: bool = True,
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tensor_format: str = "pt",
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):
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if trained_betas is not None:
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self.betas = np.asarray(trained_betas)
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elif beta_schedule == "linear":
@@ -251,7 +250,6 @@ def add_noise(
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noise: Union[torch.FloatTensor, np.ndarray],
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timesteps: Union[torch.IntTensor, np.ndarray],
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) -> Union[torch.FloatTensor, np.ndarray]:
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sqrt_alpha_prod = self.alphas_cumprod[timesteps] ** 0.5
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sqrt_alpha_prod = self.match_shape(sqrt_alpha_prod, original_samples)
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sqrt_one_minus_alpha_prod = (1 - self.alphas_cumprod[timesteps]) ** 0.5

src/diffusers/schedulers/scheduling_sde_vp.py

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@@ -40,7 +40,6 @@ class ScoreSdeVpScheduler(SchedulerMixin, ConfigMixin):
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@register_to_config
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def __init__(self, num_train_timesteps=2000, beta_min=0.1, beta_max=20, sampling_eps=1e-3, tensor_format="np"):
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self.sigmas = None
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self.discrete_sigmas = None
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self.timesteps = None

src/diffusers/utils/logging.py

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@@ -65,17 +65,14 @@ def _get_default_logging_level():
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def _get_library_name() -> str:
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return __name__.split(".")[0]
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def _get_library_root_logger() -> logging.Logger:
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return logging.getLogger(_get_library_name())
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def _configure_library_root_logger() -> None:
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global _default_handler
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with _lock:
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def _reset_library_root_logger() -> None:
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global _default_handler
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with _lock:

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