NoneType+残差网络抛出异常: TypeError：‘Pytorch’对象不可调用

import torch
print(torch.__version__)

pip install torch

import torch
import torch.nn as nn

class ResidualBlock(nn.Module):
    def __init__(self, in_channels, out_channels):
        super(ResidualBlock, self).__init__()
        self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1)
        self.relu = nn.ReLU(inplace=True)
        self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1)

    def forward(self, x):
        residual = x
        out = self.conv1(x)
        out = self.relu(out)
        out = self.conv2(out)
        out += residual
        out = self.relu(out)
        return out

# 创建残差网络实例
resnet = ResidualBlock(3, 64)

# 使用残差网络进行前向传播
input_data = torch.randn(1, 3, 224, 224)
output = resnet(input_data)