tf.assert_less_equal( x, y, 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 <= y
holds element-wise.
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.assert_less_equal(x, y)]): output = tf.reduce_sum(x)
This condition holds if for every pair of (possibly broadcast) elements x[i]
, y[i]
, we have x[i] <= y[i]
. If both x
and y
are empty, this is trivially satisfied.
x
: Numeric Tensor
.y
: Numeric Tensor
, same dtype as and broadcastable to x
.data
: The tensors to print out if the condition is False. Defaults to error message and first few entries of x
, y
.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_less_equal"Op that raises InvalidArgumentError
if x <= y
is False.
© 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_less_equal