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film_layer.py
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film_layer.py
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# Copyright (c) 2021 Cognizant Digital Business, Cognizant AI Labs
# Issued under this Academic Public License: github.com/cognizant-ai-labs/tom-release/LICENSE.
"""
Class for FiLM layer to support modulation by variable embeddings (VEs),
implemented using Conv1D for efficient parallel processing.
"""
import torch.nn as nn
class VEFilmLayer(nn.Module):
def __init__(self,
input_size,
output_size,
context_size):
super(VEFilmLayer, self).__init__()
self.scale_layer = nn.Conv1d(context_size,
output_size,
1)
self.shift_layer = nn.Conv1d(context_size,
output_size,
1)
self.value_layer = nn.Conv1d(input_size,
output_size,
1)
def forward(self, x, z):
return self.scale_layer(z) * \
self.value_layer(x) + \
self.shift_layer(z)