TensorFlow 2 version | View source on GitHub |
Assert the condition x < y
holds element-wise.
tf.debugging.assert_less(
x, y, data=None, summarize=None, message=None, name=None
)
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.
When running in graph mode, you should add a dependency on this operation to ensure that it runs. Example of adding a dependency to an operation:
with tf.control_dependencies([tf.compat.v1.assert_less(x, y)]):
output = tf.reduce_sum(x)
Args | |
---|---|
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". |
Returns | |
---|---|
Op that raises InvalidArgumentError if x < y is False.
|
Raises | |
---|---|
InvalidArgumentError
|
if the check can be performed immediately and
x < y is False. The check can be performed immediately during
eager execution or if x and y are statically known.
|
Eager Compatibility
returns None