second-tensorflow.py

import numpy as np
import tensorflow as tf

'''
# constant 1D tensor (vector)
a = tf.constant([2, 2], name="vector")

# constant 2x2 tensor (matrix)
b = tf.constant([[0, 1], [2, 3]], name="b")

# create a tensor of shape and all elements are 0s
a = tf.zeros([2, 3], tf.int32)

with tf.Session as session:
    writer = tf.summary.FileWriter('./graphs', session.graph)
    print(session.run(a))

writer.close()
'''

# _____________________________________________________________

# ====================== zeros ======================

"""
input_tensor = [[0, 1], [2, 3], [4, 5]]
a = tf.zeros_like(input_tensor, name="input_tensor")

with tf.Session() as session:
    writer = tf.summary.FileWriter('./graphs', session.graph)
    print(session.run(a))

writer.close()
"""

# _____________________________________________________________

# ====================== ones ======================

'''
a = tf.ones([2, 3], tf.int32)
input_tensor = [[0, 1], [2, 3]]
b = tf.ones_like(input_tensor)

with tf.Session() as session:
    writer = tf.summary.FileWriter('./graphs', session.graph)
    print(session.run(a))
    print(session.run(b))

writer.close()
'''

# _____________________________________________________________

# ====================== fill ======================

'''
a = tf.fill([2,3], 8)

with tf.Session() as session:
    writer = tf.summary.FileWriter('./graphs', session.graph)
    print(session.run(a))

writer.close()
'''

# ______________________________________________________________

# ====================== linespace ======================

"""
a = tf.linspace(10.0, 13.0, 4, name="linespace")

with tf.Session() as session:
    writer = tf.summary.FileWriter('./graphs', session.graph)
    print(session.run(a))

writer.close()
"""

# ______________________________________________________________

# ====================== range ======================

'''
# start = 3, limit = 18, delta = 3
a = tf.range(3, 18, 3)

b = tf.range(3, 1, -0.5)

# limit = 5
c = tf.range(5)

with tf.Session() as session:
    writer = tf.summary.FileWriter('./graphs', session.graph)
    print(session.run(a), session.run(b), session.run(c))

writer.close()
'''

# ______________________________________________________________

# ====================== zeros ======================

# unlike numpy or py sequence, TensorFlow sequences are not iterable

'''
for x in np.linspace(0, 10, 5):
    print(x)

with tf.Session() as session:
    writer = tf.summary.FileWriter('./graphs', session.graph)
    for x in tf.linspace(0, 10, 4):
        print(session.run(x))

writer.close()
'''

# ______________________________________________________________

# ====================== random constants ======================

a = tf.random_normal([2, 2], mean=0, stddev=1, dtype=tf.float32)
b = tf.truncated_normal([2,2], mean=0, stddev=1, dtype=tf.float32)
c = tf.random_uniform([2,2], minval=0, maxval=None, dtype=tf.float32)
d = tf.random_shuffle([12, 35, 64, 5, 16])

with tf.Session() as session:
    print(session.run(a), session.run(b), session.run(c), session.run(d))