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as in case there're no hidden layers, last_hidden_size = self.input_width * self.input_width, wherase input dimension is not always the same as the dimension of CNN-output, which should be the same as the input dimension of the last layer.
Thought, I don't know a quick fix to that problem,,,
The text was updated successfully, but these errors were encountered:
TanhCNNGaussianPolicy
class ingaussian_policy.py
, following line may be incorrect.as in case there're no hidden layers,
last_hidden_size = self.input_width * self.input_width
, wherase input dimension is not always the same as the dimension of CNN-output, which should be the same as the input dimension of the last layer.Thought, I don't know a quick fix to that problem,,,
The text was updated successfully, but these errors were encountered: