pytorch Network.parameters() missing 1 required positional argument: 'self'
computer-vision, machine-learning, python, pytorch
Solution
When doing `Network.parameters()` you are calling the static method `parameters`.
But, `parameters` is an instance method.
So you have to instansiate `Network` before calling `parameters`.
network = Network()
optimizer = optim.SGD(network.parameters(), lr=0.001, momentum=0.9)
Or, if you only needs Network first this particular line:
optimizer = optim.SGD(Network().parameters(), lr=0.001, momentum=0.9)
Problem
There's a problem when I call Network.parameters() in pytorch in this line in my main function: optimizer = optim.SGD(Network.parameters(), lr=0.001, momentum=0.9) I get the error code: `TypeError: parameters() missing 1 required positional argument: 'self'` My network is defined in this class ``` class Network(nn.Module): def __init__(self): super(Network, self).__init__() self.conv1 = nn.Conv2d(1, 32, 5) self.pool = nn.MaxPool2d(2, 2) self.conv2 = nn.Conv2d(32, 64, 5) self.pool2 = nn.MaxPool2d(2, 2) self.conv3 = nn.Conv2d(64, 64, 5) self.pool2 = nn.MaxPool2d(2, 2) self.fc1 = nn.Linear(64 * 5 * 5, 512) self.fc2 = nn.Linear(512, 640) self.fc3 = nn.Linear(640, 3756) def forward(self, x): x = self.pool(F.relu(self.conv(x))) x = self.pool(F.relu(self.conv2(x))) x = self.pool(F.relu(self.conv3(x))) x = x.view(-1, 64 * 5 * 5) x = F.relu(self.fc1(x)) x = F.relu(self.fc2(x)) x = self.fc3(x) return x ``` Pretty sure that I imported all torch modules correctly. Any ideas of what I'm doing wrong here? Thank you!