prototorch_models/examples/cli/gmlvq.yaml

model:
  hparams:
    input_dim: 784
    latent_dim: 784
    distribution:
      num_classes: 10
      prototypes_per_class: 2
    proto_lr: 0.01
    bb_lr: 0.01
data:
  batch_size: 32
LightningCLI Example. 2021-05-21 15:10:36 +00:00			`model:`
[BUG] CLI example crashes Running examples/cli/gmlvq.py crashes with: ``` --------------------------------------------------------------------------- KeyError Traceback (most recent call last) ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/parsing.py in __getattr__(self, key) 249 try: --> 250 return self[key] 251 except KeyError as exp: KeyError: 'distribution' The above exception was the direct cause of the following exception: AttributeError Traceback (most recent call last) ~/work/repos/prototorch_models/examples/cli/gmlvq.py in <module> 10 11 ---> 12 cli = LightningCLI(GMLVQMNIST) ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/cli.py in __init__(self, model_class, datamodule_class, save_config_callback, trainer_class, trainer_defaults, seed_everything_default, description, env_prefix, env_parse, parser_kwargs, subclass_mode_model, subclass_mode_data) 168 seed_everything(self.config['seed_everything']) 169 self.before_instantiate_classes() --> 170 self.instantiate_classes() 171 self.prepare_fit_kwargs() 172 self.before_fit() ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/cli.py in instantiate_classes(self) 211 self.config_init = self.parser.instantiate_subclasses(self.config) 212 self.instantiate_datamodule() --> 213 self.instantiate_model() 214 self.instantiate_trainer() 215 ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/cli.py in instantiate_model(self) 228 self.model = self.config_init['model'] 229 else: --> 230 self.model = self.model_class(self.config_init.get('model', {})) 231 232 def instantiate_trainer(self) -> None: ~/work/repos/prototorch_models/prototorch/models/glvq.py in __init__(self, hparams, kwargs) 307 def __init__(self, hparams, kwargs): 308 distance_fn = kwargs.pop("distance_fn", omega_distance) --> 309 super().__init__(hparams, distance_fn=distance_fn, kwargs) 310 omega = torch.randn(self.hparams.input_dim, 311 self.hparams.latent_dim, ~/work/repos/prototorch_models/prototorch/models/glvq.py in __init__(self, hparams, kwargs) 39 # Layers 40 self.proto_layer = LabeledComponents( ---> 41 distribution=self.hparams.distribution, 42 initializer=self.prototype_initializer(kwargs)) 43 ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/parsing.py in __getattr__(self, key) 250 return self[key] 251 except KeyError as exp: --> 252 raise AttributeError(f'Missing attribute "{key}"') from exp 253 254 def __setattr__(self, key, val): AttributeError: Missing attribute "distribution" ``` 2021-06-02 11:02:40 +00:00			`hparams:`
test(githooks): Add githooks for automatic commit checks 2021-06-16 14:16:34 +00:00			`input_dim: 784`
			`latent_dim: 784`
[BUG] CLI example crashes Running examples/cli/gmlvq.py crashes with: ``` --------------------------------------------------------------------------- KeyError Traceback (most recent call last) ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/parsing.py in __getattr__(self, key) 249 try: --> 250 return self[key] 251 except KeyError as exp: KeyError: 'distribution' The above exception was the direct cause of the following exception: AttributeError Traceback (most recent call last) ~/work/repos/prototorch_models/examples/cli/gmlvq.py in <module> 10 11 ---> 12 cli = LightningCLI(GMLVQMNIST) ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/cli.py in __init__(self, model_class, datamodule_class, save_config_callback, trainer_class, trainer_defaults, seed_everything_default, description, env_prefix, env_parse, parser_kwargs, subclass_mode_model, subclass_mode_data) 168 seed_everything(self.config['seed_everything']) 169 self.before_instantiate_classes() --> 170 self.instantiate_classes() 171 self.prepare_fit_kwargs() 172 self.before_fit() ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/cli.py in instantiate_classes(self) 211 self.config_init = self.parser.instantiate_subclasses(self.config) 212 self.instantiate_datamodule() --> 213 self.instantiate_model() 214 self.instantiate_trainer() 215 ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/cli.py in instantiate_model(self) 228 self.model = self.config_init['model'] 229 else: --> 230 self.model = self.model_class(self.config_init.get('model', {})) 231 232 def instantiate_trainer(self) -> None: ~/work/repos/prototorch_models/prototorch/models/glvq.py in __init__(self, hparams, kwargs) 307 def __init__(self, hparams, kwargs): 308 distance_fn = kwargs.pop("distance_fn", omega_distance) --> 309 super().__init__(hparams, distance_fn=distance_fn, kwargs) 310 omega = torch.randn(self.hparams.input_dim, 311 self.hparams.latent_dim, ~/work/repos/prototorch_models/prototorch/models/glvq.py in __init__(self, hparams, kwargs) 39 # Layers 40 self.proto_layer = LabeledComponents( ---> 41 distribution=self.hparams.distribution, 42 initializer=self.prototype_initializer(kwargs)) 43 ~/miniconda3/envs/py38/lib/python3.8/site-packages/pytorch_lightning/utilities/parsing.py in __getattr__(self, key) 250 return self[key] 251 except KeyError as exp: --> 252 raise AttributeError(f'Missing attribute "{key}"') from exp 253 254 def __setattr__(self, key, val): AttributeError: Missing attribute "distribution" ``` 2021-06-02 11:02:40 +00:00			`distribution:`
LightningCLI Example. 2021-05-21 15:10:36 +00:00			`num_classes: 10`
			`prototypes_per_class: 2`
			`proto_lr: 0.01`
			`bb_lr: 0.01`
test(githooks): Add githooks for automatic commit checks 2021-06-16 14:16:34 +00:00			`data:`
			`batch_size: 32`