sym_net.py

from utils import *

class SymbolNet(nn.Module):
    def __init__(self):
        super(SymbolNet, self).__init__()
        self.conv1 = nn.Conv2d(1, 32, 3, stride = 1, padding = 1)
        self.conv2 = nn.Conv2d(32, 64, 3, stride = 1, padding = 1)
        self.dropout1 = nn.Dropout2d(0.25)
        self.dropout2 = nn.Dropout2d(0.5)
        self.fc1 = nn.Linear(30976, 128)
        self.fc2 = nn.Linear(128, len(sym_list))

    def forward(self, x):
        x = self.conv1(x)
        x = F.relu(x)
        x = self.conv2(x)
        x = F.max_pool2d(x, 2)
        x = self.dropout1(x)
        x = torch.flatten(x, 1)
        x = self.fc1(x)
        x = F.relu(x)
        x = self.dropout2(x)
        x = self.fc2(x)
        return x