首页 > 解决方案 > ValueError:新数组的总大小必须保持不变(从 keras 重塑)

问题描述

对于这个玩具模型:

from keras.layers import Input, Dense, Reshape
from keras.models import Model

# this is the size of our encoded representations
compression = 10  

input_img = Input(shape=(28,28, ), name= "28x28")
encoded = Dense(int(np.floor(28*28/compression)), activation='relu', 
                name= "encoder_" + str(compression))(input_img)
decoded = Dense(units = 28*28, activation='sigmoid',
                name = "28.28_decoder")(encoded)
reshape = Reshape(target_shape = (28,28), name = "28x28_reshape")(decoded)
autoencoder = Model(input_img, reshape)

我得到错误:

ValueError                                Traceback (most recent call last)
<ipython-input-27-04b835543369> in <module>
     12 decoded = Dense(units = 28*28, activation='sigmoid',
     13                 name = "28.28_decoder")(encoded)
---> 14 reshape = Reshape(target_shape = (28,28), name = "28x28_reshape")(decoded)
     15 autoencoder = Model(input_img, reshape)
     16 

~/.local/lib/python3.6/site-packages/keras/engine/base_layer.py in __call__(self, inputs, **kwargs)
    472             if all([s is not None
    473                     for s in to_list(input_shape)]):
--> 474                 output_shape = self.compute_output_shape(input_shape)
    475             else:
    476                 if isinstance(input_shape, list):

~/.local/lib/python3.6/site-packages/keras/layers/core.py in compute_output_shape(self, input_shape)
    396             # input shape known? then we can compute the output shape
    397             return (input_shape[0],) + self._fix_unknown_dimension(
--> 398                 input_shape[1:], self.target_shape)
    399 
    400     def call(self, inputs):

~/.local/lib/python3.6/site-packages/keras/layers/core.py in _fix_unknown_dimension(self, input_shape, output_shape)
    384             output_shape[unknown] = original // known
    385         elif original != known:
--> 386             raise ValueError(msg)
    387 
    388         return tuple(output_shape)

ValueError: total size of new array must be unchanged

我一直试图找出原因,但我不明白。查看帮助页面非常简单,因为前一层是执行重塑的足够形状。

标签: pythonnumpytensorflowkeraspython-3.6

解决方案


您解码的密集层有 28*28 单位,这将使其输出暗淡为 (,28,784),不会重塑为 28*28。


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