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import torch.nn as nn | |
class H14_NSFW_Detector(nn.Module): | |
def __init__(self, input_size=1024): | |
super().__init__() | |
self.input_size = input_size | |
self.layers = nn.Sequential( | |
nn.Linear(self.input_size, 1024), | |
nn.ReLU(), | |
nn.Dropout(0.2), | |
nn.Linear(1024, 2048), | |
nn.ReLU(), | |
nn.Dropout(0.2), | |
nn.Linear(2048, 1024), | |
nn.ReLU(), | |
nn.Dropout(0.2), | |
nn.Linear(1024, 256), | |
nn.ReLU(), | |
nn.Dropout(0.2), | |
nn.Linear(256, 128), | |
nn.ReLU(), | |
nn.Dropout(0.2), | |
nn.Linear(128, 16), | |
nn.Linear(16, 1) | |
) | |
def forward(self, x): | |
return self.layers(x) | |