Revive make quality (huggingface#203)

* Revive Make utils

* Add datasets for training too

Author: anton-l

dependency_versions_table.py

@@ -3,17 +3,19 @@
 # 2. run `make deps_table_update``
 deps = {
     "Pillow": "Pillow",
+    "accelerate": "accelerate>=0.11.0",
     "black": "black~=22.0,>=22.3",
     "filelock": "filelock",
     "flake8": "flake8>=3.8.3",
+    "hf-doc-builder": "hf-doc-builder>=0.3.0",
     "huggingface-hub": "huggingface-hub",
     "importlib_metadata": "importlib_metadata",
     "isort": "isort>=5.5.4",
+    "modelcards": "modelcards==0.1.4",
     "numpy": "numpy",
     "pytest": "pytest",
     "regex": "regex!=2019.12.17",
     "requests": "requests",
     "torch": "torch>=1.4",
     "tensorboard": "tensorboard",
-    "modelcards": "modelcards==0.1.4",
 }

optimization.py

@@ -18,7 +18,6 @@
 from enum import Enum
 from typing import Optional, Union
 
-import torch
 from torch.optim import Optimizer
 from torch.optim.lr_scheduler import LambdaLR
 

pipelines/__init__.py

@@ -1,4 +1,8 @@
-from ..utils import is_inflect_available, is_transformers_available, is_unidecode_available
+# flake8: noqa
+# There's no way to ignore "F401 '...' imported but unused" warnings in this
+# module, but to preserve other warnings. So, don't check this module at all.
+
+from ..utils import is_transformers_available
 from .ddim import DDIMPipeline
 from .ddpm import DDPMPipeline
 from .latent_diffusion_uncond import LDMPipeline

pipelines/ddim/__init__.py

@@ -1 +1,2 @@
+# flake8: noqa
 from .pipeline_ddim import DDIMPipeline

pipelines/ddpm/__init__.py

@@ -1 +1,2 @@
+# flake8: noqa
 from .pipeline_ddpm import DDPMPipeline

pipelines/latent_diffusion/__init__.py

@@ -1,3 +1,4 @@
+# flake8: noqa
 from ...utils import is_transformers_available
 
 

pipelines/latent_diffusion_uncond/__init__.py

@@ -1 +1,2 @@
+# flake8: noqa
 from .pipeline_latent_diffusion_uncond import LDMPipeline

pipelines/pndm/__init__.py

@@ -1 +1,2 @@
+# flake8: noqa
 from .pipeline_pndm import PNDMPipeline

pipelines/score_sde_ve/__init__.py

@@ -1 +1,2 @@
+# flake8: noqa
 from .pipeline_score_sde_ve import ScoreSdeVePipeline

pipelines/stable_diffusion/__init__.py

@@ -1,3 +1,4 @@
+# flake8: noqa
 from ...utils import is_transformers_available
 
 

pipelines/stochatic_karras_ve/__init__.py

@@ -1 +1,2 @@
+# flake8: noqa
 from .pipeline_stochastic_karras_ve import KarrasVePipeline

schedulers/scheduling_lms_discrete.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import List, Union
+from typing import Union
 
 import numpy as np
 import torch

utils/dummy_scipy_objects.py

@@ -8,17 +8,3 @@ class LMSDiscreteScheduler(metaclass=DummyObject):
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["scipy"])
-
-
-class LDMTextToImagePipeline(metaclass=DummyObject):
-    _backends = ["scipy"]
-
-    def __init__(self, *args, **kwargs):
-        requires_backends(self, ["scipy"])
-
-
-class StableDiffusionPipeline(metaclass=DummyObject):
-    _backends = ["scipy"]
-
-    def __init__(self, *args, **kwargs):
-        requires_backends(self, ["scipy"])