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

    x, data=None, summarize=None, message=None, name=None

Example of adding a dependency to an operation:

with tf.control_dependencies([tf.compat.v1.assert_non_positive(x)]):
  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 raising InvalidArgumentError unless x is all non-positive.