28 lines
733 B
Python
28 lines
733 B
Python
import torch
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import torch.nn as nn
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class GlobalClassifier(nn.Module):
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"""Add a global average pooling before the classifier"""
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def __init__(
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self,
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classifier: nn.Module
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):
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super(GlobalClassifier, self).__init__()
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self.classifier = classifier
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def forward(self, x: torch.Tensor):
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x = torch.mean(x, dim=1)
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return self.classifier(x)
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class LastClassifier(nn.Module):
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"""Select last frame to do the classification"""
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def __init__(
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self,
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classifier: nn.Module
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):
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super(LastClassifier, self).__init__()
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self.classifier = classifier
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def forward(self, x: torch.Tensor):
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x = x[:, -1, :]
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return self.classifier(x) |