5466a
commented
3 years ago - AttributeError Traceback (most recent call last)
-
in - 7 block_planar = [PlanarFlow]
- 8 # Create normalizing flow
- ----> 9 flow = NormalizingFlow(dim=n_latent, blocks=block_planar, flow_length=16, density=distrib.MultivariateNormal(torch.zeros(n_latent), torch.eye(n_latent)))
- 10 # Construct encoder and decoder
- 11 encoder, decoder = construct_encoder_decoder(nin, n_hidden = n_hidden, n_latent = n_latent, n_classes = num_classes)
-
in __init__(self, dim, blocks, flow_length, density) - 11 self.bijectors = nn.ModuleList(biject)
- 12 self.base_density = density
- ---> 13 self.final_density = distrib.TransformedDistribution(density, self.transforms)
- 14 self.log_det = []
- 15
- D:\LenovoSoftstore\AI_software\Anaconda3\envs\mainpy\lib\site-packages\torch\distributions\transformed_distribution.py in init(self, base_distribution, transforms, validate_args)
- 57 base_event_dim = len(base_distribution.event_shape)
- 58 transform = ComposeTransform(self.transforms)
- ---> 59 domain_event_dim = transform.domain.event_dim
- 60 if len(base_shape) < domain_event_dim:
- 61 raise ValueError("base_distribution needs to have shape with size at least {}, but got {}."
- D:\LenovoSoftstore\AI_software\Anaconda3\envs\mainpy\lib\site-packages\torch\distributions\transforms.py in domain(self)
- 285 if not self.parts:
- 286 return constraints.real
- --> 287 domain = self.parts[0].domain
- 288 # Adjust event_dim to be maximum among all parts.
- 289 event_dim = self.parts[-1].codomain.event_dim
- D:\LenovoSoftstore\AI_software\Anaconda3\envs\mainpy\lib\site-packages\torch\distributions\transforms.py in domain(self)
- 285 if not self.parts:
- 286 return constraints.real
- --> 287 domain = self.parts[0].domain
- 288 # Adjust event_dim to be maximum among all parts.
- 289 event_dim = self.parts[-1].codomain.event_dim
- D:\LenovoSoftstore\AI_software\Anaconda3\envs\mainpy\lib\site-packages\torch\nn\modules\module.py in getattr(self, name)
- 1128 if name in modules:
- 1129 return modules[name]
- -> 1130 raise AttributeError("'{}' object has no attribute '{}'".format(
- 1131 type(self).name, name))
- 1132
- AttributeError: 'PlanarFlow' object has no attribute 'domain'
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