tf.compat.v1.Print
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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 )
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license .
Last updated 2021-08-16 UTC.
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