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param_dict = dict()
if params is not None:
param_dict = extract_top_level_dict(current_dict=params)
cur_output_rectified = self.rectifyNet(rectify_input, params=param_dict['rectifyNet']) + cur_output
else:
cur_output_rectified = self.rectifyNet(rectify_input) + cur_output
As the code above, the only difference in the forward function between class 'MetaDAIN' and 'DAIN' is the 'rectifyNet'. Does it mean that only params in 'rectifyNet' will be updated in the inner loop optimization? Hope for your reply, thanks a lot.
The text was updated successfully, but these errors were encountered:
As the code above, the only difference in the forward function between class 'MetaDAIN' and 'DAIN' is the 'rectifyNet'. Does it mean that only params in 'rectifyNet' will be updated in the inner loop optimization? Hope for your reply, thanks a lot.
The text was updated successfully, but these errors were encountered: