class_docstr: Uses (z_mean, z_log_var) to sample z, the vector encoding a digit.
class_docstr_tok: ["Uses","(","z_mean",",","z_log_var",")","to","sample","z",",","the","vector","encoding","a","digit","."]
code: def call(self, inputs):
      z_mean, z_log_var = inputs
      batch = ops.shape(z_mean)[0]
      dim = ops.shape(z_mean)[1]
      epsilon = keras.random.normal(shape=(batch, dim))
      return z_mean + ops.exp(0.5 * z_log_var) * epsilon
  
imports: import numpy
  import keras
  from keras import ops
  from keras import layers
label_desc: Use image node_id 1 for calling the Sampling obj's underlying member method code with example usage: obj.call(inputs) and returns: unknown