I am a new pytorch user. when I run the mnist example of pytorch, I find the conv weight has not changed! how can I get the changed weight?
class Net(nn.Module): def __init__(self): super(Net, self).__init__() self.conv1 = nn.Conv2d(1, 10, kernel_size=5) self.conv2 = nn.Conv2d(10, 20, kernel_size=5) self.conv2_drop = nn.Dropout2d() self.fc1 = nn.Linear(320, 50) self.fc2 = nn.Linear(50, 10) self.keep=self.conv1.weight.data # which I added def forward(self, x,index): x = F.relu(F.max_pool2d(self.conv1(x), 2)) x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2)) x = x.view(-1, 320) x = F.relu(self.fc1(x)) x = F.dropout(x, training=self.training) x = self.fc2(x) # which I added to test whether the weight has changed if (self.conv1.weight.data==self.keep).all(): print('same!') return F.log_softmax(x)
I find the print are all “same!”, how can I get the changed weight?