tf.compat.v1.assert_greater_equal
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Assert the condition x >= y
holds element-wise.
tf.compat.v1.assert_greater_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_greater_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_greater_equal".
|
Returns |
Op that raises InvalidArgumentError if x >= y is False.
|
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
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Last updated 2021-05-14 UTC.
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