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tf.compat.v1.Print

Prints a list of tensors. (deprecated)

tf.compat.v1.Print(
    input_, data, message=None, first_n=None, summarize=None, name=None
)
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) 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)

© 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/r2.4/api_docs/python/tf/compat/v1/Print

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