Keras error ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float32: & #39; Tensor (& quot; embedding_1/random_uniform: 0 & quot;, shape = (5001,128 ), dtype = float32) & #39 ;,

Keras error ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float32: 'tensor ("embedding_1/random_uniform: 0", shape = (5001,128), dtype = float32 )',

 

Train and save the model on the server. After the model is copied to the local machine, the load_model () error is returned:

ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float32: 'tensor ("embedding_1/random_uniform: 0", shape = (5001,128), dtype = float32 )'

 

Cause: the configuration of the server and local running environment is different.

 

View the local keras version:

In [1]: import kerasUsing TensorFlow backend. In [2]: keras. _ version _ Out [2]: '2. 0.6'

(Alternatively, use pip freeze to list the version information of all packages)

The keras version on the server is 2.0.3.

 

Install the local pip install in the specified version:

$ Pip install Keras = 2.0.3