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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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