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import tensorflow as tf


    

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tf.TF_CPP_MIN_LOG_LEVEL = 3


    

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# Create a constant operation. This operation is added as a node to the default graph.

hello = tf.constant("hello world")

# Start a TensorFlow session.

sess = tf.Session()

# Run the operation and get the result.

print(sess.run(hello))


    

    




hello world

In [4]:

    

node1 = tf.constant(3.0, tf.float32)
node2 = tf.constant(4.0) # (also tf.float32 by default)
node3 = tf.add(node1, node2)

print("node1: {node}".format(node = node1))
print("node2: {node}".format(node = node2))
print("node3: {node}".format(node = node3))


    

    




node1: Tensor("Const_1:0", shape=(), dtype=float32)
node2: Tensor("Const_2:0", shape=(), dtype=float32)
node3: Tensor("Add:0", shape=(), dtype=float32)

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