TensorFlow 1 version
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View source on GitHub
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Assert the condition x >= y holds element-wise.
tf.debugging.assert_greater_equal(
x, y, message=None, summarize=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 x is not greater or equal to y element-wise, message, as well as the
first summarize entries of x and y are printed, and
InvalidArgumentError is raised.
Args | |
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x
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Numeric Tensor.
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y
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Numeric Tensor, same dtype as and broadcastable to x.
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message
|
A string to prefix to the default message. |
summarize
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Print this many entries of each tensor. |
name
|
A name for this operation (optional). Defaults to "assert_greater_equal". |
Returns | |
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Op that raises InvalidArgumentError if x >= y is 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 | |
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InvalidArgumentError
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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.
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Eager Compatibility
returns None