Hi All,
I was wondering if someone knows if this same bug exists in pytorch?

  
      github.com/tensorflow/tensorflow
  
  
    



Issue: tf.keras batch normalization is batch dependent at test time


	
	opened by isaacgerg
	on 2019-09-15
	
	
	


System information
Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Both
OS Platform and Distribution...


 	TF 1.13
 	comp:keras
 	stat:awaiting response
 	type:bug


  
  
    
    
  
  


Essentially, function outputs are dependent on batch size/data.  For example, on a given input x, you get y=f(x). now add x to a batch of data z and send over the batch.  You would exist for x’s index in z that y_z would equal y, but this is not the case.