the package does not count "torch.nn.parameter"

[londumas]

Here is a simple code giving a different number of parameters between pytorch and torchsummay. It seems that torchsummay does not count torch.nn.parameter layers.

import torch
import torchsummary

class Net(torch.nn.Module):
    def __init__(self):
        super(Net,self).__init__()

        self.p = torch.nn.Parameter(torch.zeros(1))
        self.conv1 = torch.nn.Conv1d(1,2,kernel_size=3)

    def forward(self, x):

        x *= self.p
        x = self.conv1(x)

        return x
def get_n_params(model):
    pp=0
    for p in list(model.parameters()):
        nn=1
        for s in list(p.size()):
            nn = nn*s
        pp += nn
    return pp

net = Net()
x = torch.rand([64,1,10])

print("number of parameters = ", get_n_params(net))
torchsummary.summary(net, input_size=[[1,10]])

Returns 9 vs. 8:

number of parameters =  9
----------------------------------------------------------------
        Layer (type)               Output Shape         Param #
================================================================
            Conv1d-1                 [-1, 2, 8]               8
================================================================
Total params: 8
Trainable params: 8
Non-trainable params: 0
----------------------------------------------------------------
Input size (MB): 0.00
Forward/backward pass size (MB): 0.00
Params size (MB): 0.00
Estimated Total Size (MB): 0.00
----------------------------------------------------------------

[cainmagi]

Fix this problem in #165. There are also some other solutions, like #142. If you want to use #165, please change your last line as

torchsummary.summary(net, input_size=[[1,10]], device='cpu')