05_operations.py

# Operations
#----------------------------------
#
# This function introduces various operations
# in TensorFlow

# Declaring Operations
import tensorflow as tf
from tensorflow.python.framework import ops
ops.reset_default_graph()

# Open graph session
sess = tf.Session()

# div() vs truediv() vs floordiv()
print(sess.run(tf.div(3, 4)))
print(sess.run(tf.truediv(3, 4)))
print(sess.run(tf.floordiv(3.0, 4.0)))

# Mod function
print(sess.run(tf.mod(22.0, 5.0)))

# Cross Product
print(sess.run(tf.cross([1., 0., 0.], [0., 1., 0.])))

# Trig functions
print(sess.run(tf.sin(3.1416)))
print(sess.run(tf.cos(3.1416)))
print(sess.run(tf.tan(3.1416/4.)))

# Custom operation
test_nums = range(15)


def custom_polynomial(x_val):
    # Return 3x^2 - x + 10
    return tf.subtract(3 * tf.square(x_val), x_val) + 10

print(sess.run(custom_polynomial(11)))

# What should we get with list comprehension
expected_output = [3*x*x-x+10 for x in test_nums]
print(expected_output)

# TensorFlow custom function output
for num in test_nums:
    print(sess.run(custom_polynomial(num)))