The size of tensor a (256) must match the size of tensor b (64) at non-singleton dimension 1这个错误是怎么回事呢
时间: 2023-11-06 21:40:35 浏览: 11
这个错误通常出现在 PyTorch 中,它的意思是在进行某个操作时,两个 tensor 的维度不匹配。具体地说,这个错误提示表示两个 tensor 在第 1 维的大小不同,而这里的大小指的是元素的个数。
解决这个问题的方法是使两个 tensor 在第 1 维的大小相同。可以使用 PyTorch 中的 reshape 或者 view 函数来改变 tensor 的形状,或者使用其他的方式来对 tensor 进行操作,以让它们的大小匹配。
相关问题
The size of tensor a (10) must match the size of tensor b (64) at non-singleton dimension 1错误
这个错误是由于两个张量的维度不匹配导致的。在这个错误中,张量a的大小是10,而张量b的大小是64,但在非单例维度1上它们的大小不匹配。
要解决这个错误,你需要确保两个张量在所有维度上的大小都匹配。你可以通过调整张量的形状或重新计算数据来实现匹配。
可能的解决方法包括:
1. 调整张量a的形状,使其在维度1上的大小与张量b相匹配。
2. 调整张量b的形状,使其在维度1上的大小与张量a相匹配。
3. 检查你的数据是否正确,确保它们具有相同的大小和形状。
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.
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