tf.debugging.assert_positive

Assert the condition x > 0 holds element-wise.

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

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_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.

returns None