module 'tensorflow' has no attribute 'log'

[alexberd]

I am using:
python '3.8.16'
tensorflow '2.10.1'
imageio '2.34.0'
scipy '1.10.1'

Below is the eror, I am receiving:
Epoch 1/100
Reconstruction loss is binary cross entropy
Traceback (most recent call last):
File "diffusion_vae.py", line 142, in
main(sys.argv[1:])
File "diffusion_vae.py", line 132, in main
exp.run_vae()
File "C:\Users\alexberd\Desktop\github\Variational Autoencoders\diffusion_vae\modules\experiment_control\experiment_class.py", line 595, in run_vae
self.diffusionVAE.vae.fit(self.train_data, self.target_data,
File "C:\Users\alexberd.conda\envs\tensorflow\lib\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "C:\Users\alexberd\AppData\Local\Temp_autograph_generated_fileq9gx1evd.py", line 15, in tf__train_function
retval = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope)
File "C:\Users\alexberd\AppData\Local\Temp_autograph_generated_filev8iyt31v.py", line 12, in tf__vae_loss
loss = ag_.converted_call(ag__.ld(K).mean, ((ag__.converted_call(ag__.ld(r_loss), (ag__.ld(inputs), ag__.ld(outputs)), None, fscope) + ag__.converted_call(ag__.ld(kl_loss), (ag__.ld(inputs), ag__.ld(outputs)), None, fscope)),), None, fscope)
File "C:\Users\alexberd\AppData\Local\Temp_autograph_generated_filedorldv1q.py", line 82, in tf__r_loss
ag_.if_stmt((ag__.ld(self).r_loss == 'mse'), if_body_1, else_body_1, get_state_3, set_state_3, ('loss',), 1)
File "C:\Users\alexberd\AppData\Local\Temp_autograph_generated_filedorldv1q.py", line 77, in else_body_1
ag_.if_stmt((ag__.ld(self).r_loss == 'binary'), if_body, else_body, get_state_2, set_state_2, ('loss',), 1)
File "C:\Users\alexberd\AppData\Local\Temp_autograph_generated_filedorldv1q.py", line 54, in if_body
loss = (((- ag_.ld(inputs)) * ag__.converted_call(ag__.ld(tf).log, ((ag__.ld(epsilon) + ag__.ld(outputs)),), None, fscope)) - ((1 - ag__.ld(inputs)) * ag__.converted_call(ag__.ld(tf).log, (((ag__.ld(epsilon) + 1) - ag__.ld(outputs)),), None, fscope)))
AttributeError: in user code:

File "C:\Users\alexberd\.conda\envs\tensorflow\lib\site-packages\keras\engine\training.py", line 1160, in train_function  *
    return step_function(self, iterator)
File "C:\Users\alexberd\Desktop\github\Variational Autoencoders\diffusion_vae\modules\deltavae\deltavae_latent_spaces\deltavae_parent.py", line 246, in vae_loss  *
    loss = K.mean(r_loss(inputs, outputs) + kl_loss(inputs, outputs))
File "C:\Users\alexberd\Desktop\github\Variational Autoencoders\diffusion_vae\modules\deltavae\deltavae_latent_spaces\deltavae_parent.py", line 221, in r_loss  *
    loss = -inputs * tf.log(epsilon + outputs)                        - (1 - inputs) * tf.log(epsilon + 1 - outputs)

AttributeError: module 'tensorflow' has no attribute 'log'

[luis-armando-perez-rey]

I see, thank you for pointing this out. Probably the appropriate call for the logarithm now is tf.math.log https://www.tensorflow.org/api_docs/python/tf/math/log. If you would like to test it and if it works make a pull request and I would gladly merge it. Otherwise I will implement this a bit later.