tf.assert_less_equal(x, y, data=None, summarize=None, message=None, name=None)
Assert the condition x <= y
holds element-wise.
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.assert_less_equal(x, y)]): output = tf.reduce_sum(x)
Example of adding dependency to the tensor being checked:
x = tf.with_dependencies([tf.assert_less_equal(x, y)], x)
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.
Args:
-
x
: NumericTensor
. -
y
: NumericTensor
, same dtype as and broadcastable tox
. -
data
: The tensors to print out if the condition is False. Defaults to error message and first few entries ofx
,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_less_equal"
Returns:
Op that raises InvalidArgumentError
if x <= y
is False.
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