Model summary in pytorch

How do I print the summary of a model in PyTorch like the model.summary() method does in Keras: Model Summary: ____________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ==================================================================================================== input_1 (InputLayer) (None, 1, 15, 27) 0 ____________________________________________________________________________________________________ convolution2d_1 (Convolution2D) (None, 8, 15, 27) 872 input_1[0][0] ____________________________________________________________________________________________________ maxpooling2d_1 (MaxPooling2D) (None, 8, 7, 27) 0 convolution2d_1[0][0] … Read more

How does the “view” method work in PyTorch?

I am confused about the method view() in the following code snippet. class Net(nn.Module): def __init__(self): super(Net, self).__init__() self.conv1 = nn.Conv2d(3, 6, 5) self.pool = nn.MaxPool2d(2,2) self.conv2 = nn.Conv2d(6, 16, 5) self.fc1 = nn.Linear(16*5*5, 120) self.fc2 = nn.Linear(120, 84) self.fc3 = nn.Linear(84, 10) def forward(self, x): x = self.pool(F.relu(self.conv1(x))) x = self.pool(F.relu(self.conv2(x))) x = x.view(-1, … Read more

Best way to save a trained model in PyTorch? [closed]

Closed. This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 4 months ago. The community reviewed whether to reopen this question 4 months ago and left it closed: Original close reason(s) were … Read more