transformers/examples/pplm/pplm_classification_head.py
Aymeric Augustin fa84ae26d6 Reformat source code with black.
This is the result of:

    $ black --line-length 119 examples templates transformers utils hubconf.py setup.py

There's a lot of fairly long lines in the project. As a consequence, I'm
picking the longest widely accepted line length, 119 characters.

This is also Thomas' preference, because it allows for explicit variable
names, to make the code easier to understand.
2019-12-21 17:52:29 +01:00

20 lines
679 B
Python

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