tf.assert_non_positive(x, data=None, summarize=None, message=None, name=None)
Assert the condition x <= 0
holds element-wise.
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.assert_non_positive(x)]): output = tf.reduce_sum(x)
Example of adding dependency to the tensor being checked:
x = tf.with_dependencies([tf.assert_non_positive(x)], x)
Non-positive means, for every element x[i]
of x
, we have x[i] <= 0
. If x
is empty this is trivially satisfied.
Args:
-
x
: NumericTensor
. -
data
: The tensors to print out if the condition is False. Defaults to error message and first few entries ofx
. -
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_non_positive".
Returns:
Op raising InvalidArgumentError
unless x
is all non-positive.
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