Prints a list of tensors. (deprecated)

tf.Print( 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.

Note:This op prints to the standard error. It is not currently compatible with jupyter notebook (printing to the notebookserver'soutput, not into the notebook).

Args | |
---|---|

`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). |

Returns | |
---|---|

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) sess.run(out) Additionally, to use tf.print in python 2.7, users must make sure to import the following: |

`from __future__ import print_function`

© 2020 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/Print