tf.debugging.assert_non_positive

TensorFlow 2 version View source on GitHub

Assert the condition x <= 0 holds element-wise.

tf.debugging.assert_non_positive(
    x, data=None, summarize=None, message=None, name=None
)

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.debugging.assert_non_positive(x, y)]):
  output = tf.reduce_sum(x)

Non-positive means, for every element x[i] of x, we have x[i] <= 0. If x is empty this is trivially satisfied.

x Numeric Tensor.
data The tensors to print out if the condition is False. Defaults to error message and first few entries of 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_non_positive".

Op that raises InvalidArgumentError if x <= 0 is False.

InvalidArgumentError if the check can be performed immediately and x <= 0 is False. The check can be performed immediately during eager execution or if x is statically known.

Eager Compatibility

returns None