ci: add github actions (#16)

* chore: update pre-commit versions

* ci: remove old configurations

* ci: copy workflow from prototorch

* ci: run precommit for all files

* ci: add examples CPU test

* ci(test): failing example test

* ci: fix workflow definition

* ci(test): repeat failing example test

* ci: fix workflow definition

* ci(test): repeat failing example test II

* ci: fix test command

* ci: cleanup example test

* ci: remove travis badge

prototorch/models/abstract.py

@@ -14,6 +14,7 @@ from ..nn.wrappers import LambdaLayer
 
 class ProtoTorchBolt(pl.LightningModule):
     """All ProtoTorch models are ProtoTorch Bolts."""
+
     def __init__(self, hparams, **kwargs):
         super().__init__()
 
@@ -52,6 +53,7 @@ class ProtoTorchBolt(pl.LightningModule):
 
 
 class PrototypeModel(ProtoTorchBolt):
+
     def __init__(self, hparams, **kwargs):
         super().__init__(hparams, **kwargs)
 
@@ -81,6 +83,7 @@ class PrototypeModel(ProtoTorchBolt):
 
 
 class UnsupervisedPrototypeModel(PrototypeModel):
+
     def __init__(self, hparams, **kwargs):
         super().__init__(hparams, **kwargs)
 
@@ -103,6 +106,7 @@ class UnsupervisedPrototypeModel(PrototypeModel):
 
 
 class SupervisedPrototypeModel(PrototypeModel):
+
     def __init__(self, hparams, **kwargs):
         super().__init__(hparams, **kwargs)
 
@@ -178,6 +182,7 @@ class ProtoTorchMixin(object):
 
 class NonGradientMixin(ProtoTorchMixin):
     """Mixin for custom non-gradient optimization."""
+
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self.automatic_optimization = False
@@ -188,6 +193,7 @@ class NonGradientMixin(ProtoTorchMixin):
 
 class ImagePrototypesMixin(ProtoTorchMixin):
     """Mixin for models with image prototypes."""
+
     def on_train_batch_end(self, outputs, batch, batch_idx, dataloader_idx):
         """Constrain the components to the range [0, 1] by clamping after updates."""
         self.proto_layer.components.data.clamp_(0.0, 1.0)