conv2d() received an invalid combination of arguments问题解决

在实现深度学习风格迁移时,遇到了`conv2d()`错误。问题源于`get_inits`函数返回值的格式错误,应更正为`gen_img()`。理解PyTorch模型实例化及`forward()`方法的调用,通过三个例子展示了模型对象与执行`forward()`的区别,修正后解决了问题。

在学习动手学深度学习风格迁移这一部分的时候,程序运行的时候抱错:conv2d() received an invalid combination of arguments

具体来说,先使用函数SynthesizedImage定义一个图像,它的权重是更新的目标,经get_inits实例化,通过训练更新图像的权重,获得风格迁移后的图像。

class SynthesizedImage(nn.Module):
    def __init__(self, img_shape, **kwargs):
        super(SynthesizedImage, self).__init__(**kwargs)
        self.weight = nn.Parameter(torch.rand(*img_shape))
        
    def forward(self):
        return self.weight
    
def get_inits(content_img, lr, lr_decay_epoch, init_random):
    gen_img = SynthesizedImage(content_img.shape).to(device)
    if not init_random:  
        gen_img.weight.data.copy_(content_img.data)

    optimizer = torch.optim.Adam(gen_img.parameters(), lr=lr)
    scheduler = torch.optim.lr_scheduler.StepLR(optimizer, lr_decay_epoch, 0.8)
    return gen_img(), optimizer, scheduler

参考:在python中遇到

The `conv2d()` function is a convolutional layer in deep learning frameworks like TensorFlow and PyTorch. It takes a few arguments, including the input tensor, the filter (kernel) tensor, the stride, padding, and activation function. If you received an error message saying that `conv2d()` received an invalid combination of arguments, it means that you passed in one or more arguments that are not compatible with each other. Here are a few common reasons why this might happen: - Incorrect input shape: The input tensor must have a certain shape that depends on the framework and the specific convolutional layer you're using. For example, in TensorFlow, the input tensor should have shape `(batch_size, height, width, channels)`. If you pass in an input tensor with a different shape, you may get an error. - Incompatible filter shape: The filter tensor must have a certain shape that depends on the number of filters, filter size, and number of input channels. If you pass in a filter tensor with an incompatible shape, you may get an error. - Incorrect stride or padding: The stride and padding parameters must be chosen carefully to ensure that the output tensor has the desired shape. If you choose stride or padding values that are incompatible with the input or filter shape, you may get an error. - Incorrect activation function: Some convolutional layers require an activation function to be specified, while others do not. If you specify an activation function that is not compatible with the layer, you may get an error. To fix the error, you should carefully check the input, filter, stride, padding, and activation function parameters to ensure that they are compatible with each other and with the specific convolutional layer you're using.
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值