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Prints a list of tensors. (deprecated)

    input_, data, message=None, first_n=None, summarize=None, name=None

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


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

from __future__ import print_function