Reshape

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

tf.InteractiveSession()

a = tf.zeros((2, 2))
b = tf.ones((2, 2))

abc = tf.reduce_sum(b, reduction_indices=1).eval()
#rray([2., 2.], dtype=float32)
print(abc)

print(a.get_shape())

# reshape
ef = tf.reshape(a, (1, 4)).eval()
print(ef)

[2. 2.]
(2, 2)
[[0. 0. 0. 0.]]

Notes:

Tensorflow compuations define a compuation graph that has no numerical value until

InteractiveSession() will help you to keep a default session open in ipython

In a construction phase, tensorflow programs assemble a graph. Then in the execution phase, the session is used to execute ops in the graph

All computations add nodes to global default graph

When you train a model you use variables to hold and update parameters. Variables are in-memory buffers containing tensors.