RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 7 but got size 6 for tensor number 1 in the list
时间: 2023-11-06 07:41:42 浏览: 51
This error occurs when there is a size mismatch between tensors in a list. In this case, the error message indicates that tensor number 1 in the list has an expected size of 7 but got a size of 6.
To fix this error, you need to ensure that all tensors in the list have the same size in all dimensions except dimension 1. Check the code that creates the list of tensors and make sure that all tensors have the same size. If the sizes are different, you can resize the tensors using PyTorch's `resize()` function or create new tensors with the correct size.
相关问题
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 7 but got size 6 for tensor number 1 in the list.
这个错误提示是由于张量的尺寸不匹配导致的。具体来说,在运行过程中,张量的尺寸在除了第一个维度之外的其他维度上必须匹配。在你提供的错误提示中,报错信息是"RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 7 but got size 6 for tensor number 1 in the list.",意味着在第1个张量中,期望的尺寸是7,但实际得到的尺寸是6。解决这个问题的方法是检查代码中涉及到的张量的尺寸是否正确,并确保它们在除了第一个维度之外的其他维度上匹配。如果有必要,可以使用reshape()函数来调整张量的尺寸。
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 48 but got size 47 for tensor number 1 in the list
引用\[1\]:在目标检测服务中,使用yolov7模型通过flask打包成预测服务API。训练时,输入的图像大小为1280。如果输入的预测图片大小大于1280,则预测成功;如果小于1280,则会报错RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 27 but got size。根据错误提示,推测问题出在图像处理过程中的resize操作上,具体是在以下代码行出错:pred = self.model(img, augment=self.augment)\[0\]。完整的错误提示如下:
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 48 but got size 47 for tensor number 1 in the list.
引用\[2\]中给出了改造base64_to_image函数的代码,该函数用于将base64格式的图片转换为图片对象。在这个函数中,使用了cv2库对图片进行解码和处理。引用\[3\]分析了问题的原因,发现是在pading过程中少给了一个参数stride,导致小图片在pading过程中像素错误,从而导致了dimension错误。
解决方案是在图像处理过程中正确设置stride参数,确保图片的像素处理正确。
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