ValueError: Input 0 is incompatible with layer decoder_or_generator: expected shape=(None, 4, 4, 1) - 代码天地

ValueError: Input 0 is incompatible with layer decoder_or_generator: expected shape=(None, 4, 4, 1)

其他 2021-11-28 23:26:13 阅读次数: 0

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转载自blog.csdn.net/qq_44065334/article/details/120316054

ValueError: Input 0 is incompatible with layer decoder_or_generator: expected shape=(None, 4, 4, 1)

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解决 ValueError: Input 0 is incompatible with layer predict_vector_conv1: expected ndim=3, found ndim=2

“ ValueError: Shapes (None, 3) and (None, 4) are incompatible”

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 ‘(?

解决问题：ValueError: (InvalidArgument) The 2-th dimension of input[0] and input[1] is expected to be equ

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

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when checking input expected input_image_meta to have shape (None,14)but got array with shape (1,15)

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

使用BN时ValueError: expected 2D or 3D input (got 4D input)的可能原因

【TensorFlow】ValueError: Shape must be rank 1 but is rank 0 for ' ’ with input shapes: [].问题

成功解决ValueError: feature_names mismatch: [‘f0‘, ‘f1‘, ‘f2‘, ‘f3‘, ‘f4‘] expected f3, f1, f2, f0, f4

ValueError: not enough values to unpack (expected 4, got 1) Python（笨办法学Python3）

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

InvalidArgumentError: Matrix size-incompatible: In[0]: [32,4], In[1]: [32,4] [[{{node MatMul}} = M

ValueError: too many values to unpack (expected 4)解决办法

RuntimeError: Given groups=1, weight of size [64, 3, , ], expected input[1, 4, , ] to have 3

ValueError: Expected more than 1 value per channel when training, got input size ...

ValueError: Expected more than 1 value per channel when training, got input size torch.Size

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解决ValueError: Expected more than 1 value per channel when training, got input size [1, 256, 1, 1]

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error [email protected]:The engine “node“ is incompatible with this module.Expected version “＞=4 ＜=9“.

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ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 2, 1

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