Eager Execution in Tensorflow with Example

Here is how eager execution is done in Tensorflow.
Run the code here: https://repl.it/@VinitKhandelwal/tensorflow-eager-area-triangle

Example: Calculating area of triangles passed as matrix and getting output with eager execution.

import tensorflow as tf

from tensorflow.contrib.eager.python import tfe

tfe.enable_eager_execution()

#TODO: Using your non-placeholder solution, 

def compute_area(sides):

  #TODO: Write TensorFlow code to compute area of a

  a = sides[:, 0]

  b = sides[:, 1]

  c = sides[:, 2]

  #  SET of triangles given by their side lengths

  s = (a+b+c)*0.5

  areasq = s*(s-a)*(s-b)*(s-c)

  return tf.sqrt(areasq)

#  try it now using tf.eager by removing the session

area = compute_area(tf.constant([[5.0, 3.0, 7.1], [2.3, 4.1, 4.8]]))

print(area)

OUTPUT

tf.Tensor([6.278497 4.709139], shape=(2,), dtype=float32)

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