21 lines
731 B
Python
21 lines
731 B
Python
import torch
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from torch import nn
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from models.base import AEEncoder, Decoder
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class AutoEncoder(nn.Module):
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def __init__(self, config):
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super(AutoEncoder, self).__init__()
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self.encoder : AEEncoder = AEEncoder(config['encoder_block_settings'], config['kernel_size'], config['activation'], is_label=config['is_label'], device=config['device'], nr_of_labels=7, input_features=config['input_features'])
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self.decoder : Decoder = Decoder(config['decoder_block_settings'], kernel_size=config['kernel_size'], is_label=config['is_label'], device=config['device'], nr_of_classes=6)
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def forward(self, input):
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x = input
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x = self.encoder(x)
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x = self.decoder(x)
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return x |