“RuntimeError: Expected 4-dimensional input for 4-dimensional weight 32 3 3, but got 3-dimensional input of size [3, 224, 224]"? [英] "RuntimeError: Expected 4-dimensional input for 4-dimensional weight 32 3 3, but got 3-dimensional input of size [3, 224, 224] instead"?

问题描述

我正在尝试使用预训练模型.这就是问题发生的地方

I am trying to use a pre-trained model. Here's where the problem occurs

模型不应该采用简单的彩色图像吗?为什么它需要 4 维输入?

Isn't the model supposed to take in a simple colored image? Why is it expecting a 4-dimensional input?

RuntimeError                              Traceback (most recent call last)
<ipython-input-51-d7abe3ef1355> in <module>()
     33 
     34 # Forward pass the data through the model
---> 35 output = model(data)
     36 init_pred = output.max(1, keepdim=True)[1] # get the index of the max log-probability
     37 

5 frames
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/conv.py in forward(self, input)
    336                             _pair(0), self.dilation, self.groups)
    337         return F.conv2d(input, self.weight, self.bias, self.stride,
--> 338                         self.padding, self.dilation, self.groups)
    339 
    340 

RuntimeError: Expected 4-dimensional input for 4-dimensional weight 32 3 3, but got 3-dimensional input of size [3, 224, 224] instead

在哪里

inception = models.inception_v3()
model = inception.to(device)

推荐答案

As Usman Ali 在他的评论中写道，pytorch(和大多数其他 DL 工具箱)需要 batch 图像作为输入.因此你需要调用

As Usman Ali wrote in his comment, pytorch (and most other DL toolboxes) expects a batch of images as an input. Thus you need to call

output = model(data[None, ...])  

在您的输入 data 中插入一个单一的批量"维度.

Inserting a singleton "batch" dimension to your input data.

另请注意，您使用的模型可能需要不同的输入大小 (3x229x229)，而不是 3x224x224.

Please also note that the model you are using might expect a different input size (3x229x229) and not 3x224x224.

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