TensorFlow 1 version
|
View source on GitHub
|
Assert the condition x != y holds for all elements.
tf.debugging.assert_none_equal(
x, y, summarize=None, message=None, name=None
)
This Op checks that x[i] != y[i] holds for every pair of (possibly
broadcast) elements of x and y. If both x and y are empty, this is
trivially satisfied.
If any elements of x and y are equal, message, as well as the first
summarize entries of x and y are printed, and InvalidArgumentError
is raised.
Args | |
|---|---|
x
|
Numeric Tensor.
|
y
|
Numeric Tensor, same dtype as and broadcastable to 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_none_equal". |
Returns | |
|---|---|
Op that raises InvalidArgumentError if x != y is ever False. This can
be used with tf.control_dependencies inside of tf.functions to block
followup computation until the check has executed.
|
Raises | |
|---|---|
InvalidArgumentError
|
if the check can be performed immediately and
x != y is False for any pair of elements in x and y. The check can
be performed immediately during eager execution or if x and y are
statically known.
|
Eager Compatibility
returns None
TensorFlow 1 version
View source on GitHub