AttributeError: 'Tensor' object has no attribute '_keras_history'

Question

I looked for all the \"\'Tensor\' object has no attribute ***\" but none seems related to Keras (except for TensorFlow: AttributeError: 'Tensor' object has no attrib

Answer 1

Try this:

def make_gan(GAN_in, model1, model2, model3):
    model1_out = model1(GAN_in)
    model1_out = Lambda(lambda x: K.round(x), output_shape=...)(model1_out)
    model2_out = model2([GAN_in, model1_out])
    GAN_out = model3(model2_out)
    GAN = Model(GAN_in, GAN_out)
    GAN.compile(loss=loss, optimizer=model1.optimizer, metrics=['binary_accuracy'])
    return GAN

Answer 2

My problem was using '+' instead of 'Add' on keras

Answer 3

@'Maëva LC': I can't post a comment, this answers your None issue.

but the code is working fine without the line

model1_out = (lambda x: K.round(x), output_shape=...)(model1_out)

and not anything else. Anyway, thank you for trying.

Function round() is not differentiable, hence the gradient is None. I suggest you just remove the line.

Answer 4

Since the error comes directly from here:

Traceback (most recent call last):
  File "C:\Users\Asmaa\Documents\BillyValuation\GFD.py", line 88, in <module>
GAN = make_gan(inputSentence, G, F, D)
  File "C:\Users\Asmaa\Documents\BillyValuation\GFD.py", line 61, in make_gan
GAN = Model(GAN_in, GAN_out)

, and the inputs of your models depend on the outputs from previous models, I believe the bug lies in the codes in your model.

In you model code, please check line by line whether or not you apply a non-Keras operation, especially in the last few lines. For example ,for element-wise addition, you might intuitively use + or even numpy.add, but keras.layers.Add() should be used instead.