valueError cannot reshape array of size 4356 into shape (64,64) 如何解决？ - 代码天地

valueError cannot reshape array of size 4356 into shape (64,64) 如何解决？

编程语言 2019-03-04 20:19:19 阅读次数: 0

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转载自blog.csdn.net/zhuiyunzhugang/article/details/88110630

valueError cannot reshape array of size 4356 into shape (64,64) 如何解决？

【已解决】ValueError: cannot reshape array of size 509760 into shape (500,353,3)

《Python机器学习基础教程》第二章笔记:ValueError: cannot reshape array of size 4000000 into shape (1000,1000)

ValueError:could not broadcast input array from shape (450,600,3) into shape (64,64,3)

ValueError: cannot copy sequence with size 11520 to array axis with dimension 290400

ValueError: Cannot feed value of shape (64, 2) for Tensor 'input_y:0', which has shape '(?, 3)'

ValueError: Shape must be rank 1 but is rank 0 for 'bn_conv1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64,1,1], [].

已解决ValueError: Cannot feed value of shape (1, 10, 4) for Tensor ‘Placeholder:0‘, which has shape ‘(?

ValueError: could not broadcast input array from shape

numpy array 如何reshape

shape reshape

frcnn ValueError: Shape must be rank 1 but is rank 0 for 'bn_conv1_4/Reshape_4' (op: 'Reshape') with

ValueError: Expected target size (64, 31), got torch.Size([64, 63])

解决ValueError: bad input shape (xxxx, x)

RuntimeError: shape '[64, 1, 1, 1]' is invalid for input of size 6400

[Bug集合]ValueError: total size of new array must be unchanged

ValueError: Internal work array size computation failed: -10

ValueError: could not broadcast input array from shape (22500,3) into shape (1)

ValueError: Cannot feed value of shape (1,) for Tensor u'Placeholder:0', which has shape '(1, 1)'

ValueError: Cannot feed value of shape (784,) for Tensor 'Placeholder:0', which has shape '(?, 784)'

Shape must be rank 1 but is rank 0 for 'bn1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64

shape&reshape

原 reshape 与 shape

numpy shape()和reshape()

shape和reshape

shape和reshape的应用

tensorflow shape,reshape

Faster-RCNN报错：ValueError: Shape must be rank 1 but is rank 0 for 'bn_conv1/Reshape_4' (op: 'Reshap

YOLOv5训练过程中遇到该问题的解决方法ValueError: The requested array has an inhomogeneous shape after 1 dimensions

SNIPER-MXNet中出现ValueError: could not broadcast input array from shape (XXX,5) into shape (100,5)

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