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check proposal has params before setting grad to false #4

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check proposal has params before setting grad to false #4

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17137b2
check proposal has params before setting grad to false
pablo2909 May 9, 2023
cc8bf43
value error if wanting to train empty proposal
pablo2909 May 9, 2023
347f070
reverting the changes and add forgotten super in module
pablo2909 May 9, 2023
bbdb7f1
remove resume_from_checkpoint
pablo2909 May 9, 2023
479ab53
tiny fix for the previous commit
pablo2909 May 9, 2023
45c717c
changed default accelerator and devices to auto, None is not supported
pablo2909 May 9, 2023
7d8c437
default strategy argument to auto
pablo2909 May 9, 2023
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1 change: 1 addition & 0 deletions Model/Proposals/ProposalForDistributionEstimation/categorical.py
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Expand Up @@ -11,6 +11,7 @@ class Categorical(nn.Module):
"""Module that implements a uniform categorical distribution"""

def __init__(self, input_size: Tuple[int], dataset: Dataset) -> None:
super(Categorical, self).__init__()
self.input_size = input_size
self.num_classes = dataset.num_classes
self.distribution = categorical.Categorical(
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1 change: 1 addition & 0 deletions Model/Proposals/ProposalForDistributionEstimation/poisson.py
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Expand Up @@ -13,6 +13,7 @@ class Poisson(nn.Module):
def __init__(
self, input_size: Tuple[int], dataset: Dataset, lambda_: float = 10.0
) -> None:
super(Poisson, self).__init__()
self.input_size = input_size
self.distribution = poisson.Poisson(lambda_)

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