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|
Assert the condition x != y holds element-wise.
tf.compat.v1.assert_none_equal(
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_none_equal(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_none_equal". |
Returns | |
|---|---|
Op that raises InvalidArgumentError if x != y is False.
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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