The size of tensor a (50) must match the size of tensor b (20) at non-singleton dimension 1
时间: 2023-11-06 22:36:15 浏览: 33
这个错误提示意味着你在进行某个操作的时候,涉及到两个不同shape的tensor进行了维度上不匹配的操作,导致出现了错误。具体来说,这个错误通常是由以下几种情况引起的:
1. 使用了不匹配的tensor进行运算:
例如,你想要对两个大小分别为(50, 10)和(20, 10)的tensor进行相加操作,这时就会出现上述错误提示。因为在进行相加操作的时候,这两个tensor的第一维大小不同。
2. 在进行拼接操作时,维度不匹配:
例如,你想要将两个大小分别为(50, 10)和(20, 10)的tensor按照第一维进行拼接,这时就会出现上述错误提示。因为在进行拼接操作的时候,这两个tensor的第一维大小不同。
3. 在进行其他操作时,维度不匹配:
例如,你想要对一个大小为(50, 10)的tensor进行平均池化操作,但是你却使用了(20, 10)的tensor进行操作,这时就会出现上述错误提示。因为在进行池化操作的时候,这两个tensor的第一维大小不同。
为了解决这个问题,你需要检查你的代码,找出在哪一步操作中出现了维度不匹配的情况,然后对输入的tensor做出相应的调整,使得它们在进行操作时,维度能够匹配。
相关问题
The size of tensor a (10) must match the size of tensor b (3) at non-singleton dimension 1
The error message "The size of tensor a (10) must match the size of tensor b (3) at non-singleton dimension 1" indicates that the dimensions of tensor a and tensor b do not match at dimension 1, which prevents the operation from being completed. It seems that the number of elements in tensor a at dimension 1 is 10, while the number of elements in tensor b at dimension 1 is 3.
To fix this issue, you can either resize one of the tensors to match the other tensor's dimension at dimension 1, or reshape one of the tensors to have a different number of dimensions.
Here are some possible solutions:
1. Reshape tensor a: You can reshape tensor a to match the number of elements in tensor b at dimension 1. For example, if tensor a has a shape of (10, 5) and tensor b has a shape of (3, 5), you can reshape tensor a to have a shape of (3, 2, 5) using the reshape() function.
2. Resize tensor b: Alternatively, you can resize tensor b to match the number of elements in tensor a at dimension 1. For example, if tensor a has a shape of (10, 5) and tensor b has a shape of (3, 5), you can resize tensor b to have a shape of (10, 5) using the resize() function.
3. Verify the input data: Double-check the input data for tensor a and tensor b to ensure that they have the correct dimensions and sizes.
The size of tensor a (32) must match the size of tensor b (512) at non-singleton dimension 1
The error message "The size of tensor a (32) must match the size of tensor b (512) at non-singleton dimension 1" indicates that there is a size mismatch between two tensors in dimension 1. In order to perform operations between tensors, their sizes must match along all dimensions except for the singleton dimensions.
To resolve this error, you can check the shape of tensor a and tensor b along dimension 1 and ensure they have the same size. If they don't have the same size, you may need to reshape or resize one or both tensors to match their sizes.
Related questions:
1. How can I check the shape of a tensor in PyTorch?
2. How do I resize or reshape a tensor in PyTorch?
3. What are singleton dimensions in tensors?