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20 lines
651 B
Python
20 lines
651 B
Python
from torch import nn
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class ClassificationHead(nn.Module):
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"""Classification Head for transformer encoders"""
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def __init__(self, class_size, embed_size):
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super().__init__()
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self.class_size = class_size
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self.embed_size = embed_size
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# self.mlp1 = nn.Linear(embed_size, embed_size)
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# self.mlp2 = (nn.Linear(embed_size, class_size))
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self.mlp = nn.Linear(embed_size, class_size)
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def forward(self, hidden_state):
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# hidden_state = nn.functional.relu(self.mlp1(hidden_state))
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# hidden_state = self.mlp2(hidden_state)
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logits = self.mlp(hidden_state)
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return logits
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