Residual Model
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@ -109,11 +109,16 @@ class DeConvModule(ShapeMixin, nn.Module):
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class ResidualModule(ShapeMixin, nn.Module):
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def __init__(self, in_shape, module_class, n, **module_parameters):
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def __init__(self, in_shape, module_class, n, norm=False, **module_parameters):
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assert n >= 1
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super(ResidualModule, self).__init__()
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self.in_shape = in_shape
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module_parameters.update(in_shape=in_shape)
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if norm:
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self.norm = nn.BatchNorm1d if len(self.in_shape) <= 2 else nn.BatchNorm2d
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self.norm = self.norm(self.in_shape if isinstance(self.in_shape, int) else self.in_shape[0])
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else:
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self.norm = F_x(self.in_shape)
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self.activation = module_parameters.get('activation', None)
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if self.activation is not None:
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self.activation = self.activation()
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@ -105,6 +105,7 @@ class Config(ConfigParser, ABC):
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params.update(self.train.__dict__)
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assert all(key not in list(params.keys()) for key in self.data.__dict__)
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params.update(self.data.__dict__)
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params.update(version=self.version)
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params.update(exp_path=str(self.exp_path), exp_fingerprint=str(self.fingerprint))
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return params
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@ -64,7 +64,7 @@ class Logger(LightningLoggerBase, ABC):
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api_key=self.config.project.neptune_key,
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experiment_name=self.name,
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project_name=self.project_name,
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upload_source_files=list())
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params=self.config.model_paramters)
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self.neptunelogger = NeptuneLogger(**self._neptune_kwargs)
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self.testtubelogger = TestTubeLogger(**self._testtube_kwargs)
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self.log_config_as_ini()
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