TensorFlow 1 version
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    View source on GitHub
  
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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.
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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.
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Eager Compatibility
returns None
  TensorFlow 1 version
    View source on GitHub