tf.assert_non_negative( x, data=None, summarize=None, message=None, name=None )
Defined in tensorflow/python/ops/check_ops.py
.
See the guide: Asserts and boolean checks
Assert the condition x >= 0
holds element-wise.
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.assert_non_negative(x)]): output = tf.reduce_sum(x)
Non-negative means, for every element x[i]
of x
, we have x[i] >= 0
. If x
is empty this is trivially satisfied.
x
: Numeric Tensor
.data
: The tensors to print out if the condition is False. Defaults to error message and first few entries of x
.summarize
: Print this many entries of each tensor.message
: A string to prefix to the default message.name
: A name for this operation (optional). Defaults to "assert_non_negative".Op raising InvalidArgumentError
unless x
is all non-negative.
© 2018 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/api_docs/python/tf/assert_non_negative