Closed stared closed 5 years ago
Thanks for briging this to my attention. Fixed with 2820262f885b61da0de2f7884b15670bf106c926 in version 0.1.8.
On Wed, Dec 26, 2018 at 12:30 PM Piotr Migdał notifications@github.com wrote:
Typically I use modules within nn.Sequential or custom-defined modules.
class TwoLayerNet(torch.nn.Module): def init(self, D_in, H, D_out): super(TwoLayerNet, self).init() self.fc = torch.nn.Sequential( torch.nn.Linear(D_in, H), torch.nn.Linear(H, D_out) )
def forward(self, x): return self.fc(x)
and then layers = model.parameters(). However, I get an error:
Traceback (most recent call last): File "example_submodule.py", line 43, in
stats = CheckLayerSat('regression/h{}'.format(h), layers) File "/Users/pmigdal/not_my_repos/delve/delve/main.py", line 50, in init self.layers = self._get_layers(modules) File "/Users/pmigdal/not_my_repos/delve/delve/main.py", line 167, in _get_layers for name in modules.state_dict().keys(): AttributeError: 'generator' object has no attribute 'state_dict' (for full code example, see: https://gist.github.com/stared/b598c03ade397baf3fa03c52bd79e90d)
Does it work with submodules?
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@justinshenk Awesome! And I am impressed by your pace. :)
Typically I use modules within
nn.Sequential
or custom-defined modules.and then
layers = model.parameters()
. However, I get an error:(for full code example, see: https://gist.github.com/stared/b598c03ade397baf3fa03c52bd79e90d)
Does it work with submodules?