tf.debugging.assert_none_equal
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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.function s 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
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.debugging.assert_none_equal\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/debugging/assert_none_equal) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.1.0/tensorflow/python/ops/check_ops.py#L661-L696) |\n\nAssert the condition `x != y` holds for all elements. \n\n tf.debugging.assert_none_equal(\n x, y, summarize=None, message=None, name=None\n )\n\nThis Op checks that `x[i] != y[i]` holds for every pair of (possibly\nbroadcast) elements of `x` and `y`. If both `x` and `y` are empty, this is\ntrivially satisfied.\n\nIf any elements of `x` and `y` are equal, `message`, as well as the first\n`summarize` entries of `x` and `y` are printed, and `InvalidArgumentError`\nis raised.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------|------------------------------------------------------------------------|\n| `x` | Numeric `Tensor`. |\n| `y` | Numeric `Tensor`, same dtype as and broadcastable to `x`. |\n| `summarize` | Print this many entries of each tensor. |\n| `message` | A string to prefix to the default message. |\n| `name` | A name for this operation (optional). Defaults to \"assert_none_equal\". |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Op that raises `InvalidArgumentError` if `x != y` is ever False. This can be used with [`tf.control_dependencies`](../../tf/control_dependencies) inside of [`tf.function`](../../tf/function)s to block followup computation until the check has executed. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `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. |\n\n\u003cbr /\u003e\n\n#### Eager Compatibility\n\nreturns None"]]