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

[londumas]

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

import torch
import torchsummaryX

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))
torchsummaryX.summary(net, x)

Returns 9 vs. 8:

number of parameters =  9
====================================================
        Kernel Shape Output Shape  Params  Mult-Adds
Layer                                               
0_conv1    [1, 2, 3]   [64, 2, 8]       8         48
----------------------------------------------------
                      Totals
Total params               8
Trainable params           8
Non-trainable params       0
Mult-Adds                 48
====================================================