# tf.compat.v1.Print
|---|
| [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/ops/logging_ops.py#L66-L112) |
Prints a list of tensors. (deprecated)
tf.compat.v1.Print(
input_, data, message=None, first_n=None, summarize=None, name=None
)
> [!WARNING]
> **Warning:** THIS FUNCTION IS DEPRECATED. It will be removed after 2018-08-20. Instructions for updating: Use tf.print instead of tf.Print. Note that tf.print returns a no-output operator that directly prints the output. Outside of defuns or eager mode, this operator will not be executed unless it is directly specified in session.run or used as a control dependency for other operators. This is only a concern in graph mode. Below is an example of how to ensure tf.print executes in graph mode:
This is an identity op (behaves like [`tf.identity`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/identity)) with the side effect
of printing `data` when evaluating.
> [!NOTE]
> **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`