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 notebook server's output, 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
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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