tf.assert_greater( x, y, data=None, summarize=None, message=None, name=None )
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_greater(x, y)]): output = tf.reduce_sum(x)
This condition holds if for every pair of (possibly broadcast) elements
y[i], we have
x[i] > y[i]. If both
y are empty, this is trivially satisfied.
Tensor, same dtype as and broadcastable to
data: The tensors to print out if the condition is False. Defaults to error message and first few entries of
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_greater".
Op that raises
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.