| import torch | |
| import torch.nn as nn | |
| import torch.nn.functional as F | |
| class VisionExpert(nn.Module): | |
| def __init__(self): | |
| super(VisionExpert, self).__init__() | |
| self.conv1 = nn.Conv2d(3, 32, 3, 1) | |
| self.conv2 = nn.Conv2d(32, 64, 3, 1) | |
| self.fc1 = nn.Linear(64 * 6 * 6, 128) | |
| def forward(self, x): | |
| x = F.relu(self.conv1(x)) | |
| x = F.relu(self.conv2(x)) | |
| x = x.view(-1, 64 * 6 * 6) | |
| x = F.relu(self.fc1(x)) | |
| return x | |