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26 lines
647 B
Python
26 lines
647 B
Python
import os, sys
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import torch
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import torch.nn as nn
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import torch.nn.functional as F
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class ClsHead(nn.Module):
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"""
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Class orientation
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Args:
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params(dict): super parameters for build Class network
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"""
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def __init__(self, in_channels, class_dim, **kwargs):
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super(ClsHead, self).__init__()
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self.pool = nn.AdaptiveAvgPool2d(1)
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self.fc = nn.Linear(
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in_channels,
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class_dim,
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bias=True)
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def forward(self, x):
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x = self.pool(x)
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x = torch.reshape(x, shape=[x.shape[0], x.shape[1]])
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x = self.fc(x)
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x = F.softmax(x, dim=1)
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return x |