Assign requires shapes of both tensors to match. lhs shape= [3,3,256,8] rhs shape= [3,3,256,84] - 代码天地

Assign requires shapes of both tensors to match. lhs shape= [3,3,256,8] rhs shape= [3,3,256,84]

企业开发 2023-07-11 19:23:01 阅读次数: 0

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转载自blog.csdn.net/huachuchengzhang/article/details/88640687

Assign requires shapes of both tensors to match. lhs shape= [3,3,256,8] rhs shape= [3,3,256,84]

Tensorflow报错Assign requires shapes of both tensors to match. lhs shape= [xxx] rhs shape= [xxx]的解决方法

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs

tensorflow error : Assign requires shapes of both tensors to match.

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lh

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match

TensorFlow restore lhs shape rhs shape 的错

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ValueError: Dimension 1 in both shapes must be equal, but are 8 and 324 for 'Assign_376' (op: 'Assig

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ValueError: Shape must be rank 2 but is rank 0 for 'MatMul_8' (op: 'MatMul') with input shapes: [],

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

八、将标签尺寸label_shape（8,256,256），调整成预测尺寸pred_shape(8,2,256,256)

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

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

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