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Prints a list of tensors. (deprecated)

This is an identity op (behaves like tf.identity) with the side effect of printing data when evaluating.

Additionally, to use tf.print in python 2.7, users must make sure to import the following:

from __future__ import print_function

input_ A tensor passed through this op.
data A list of tensors to print out when op is evaluated.
message A string, prefix of the error message.
first_n Only log first_n number of times. Negative numbers log always; this is the default.
summarize Only print this many entries of each tensor. If None, then a maximum of 3 elements are printed per input tensor.
name A name for the operation (optional).

A Tensor. Has the same type and contents as input_.

sess = tf.compat.v1.Session()
with sess.as_default():
tensor = tf.range(10)
print_op = tf.print(tensor)
with tf.control_dependencies([print_op]):
out = tf.add(tensor, tensor)