Missed TensorFlow World? Check out the recap. Learn more

tf.debugging.assert_negative

TensorFlow 2.0 version View source on GitHub

Assert the condition x < 0 holds element-wise.

Aliases:

  • tf.assert_negative
  • tf.compat.v1.assert_negative
  • tf.compat.v1.debugging.assert_negative
tf.debugging.assert_negative(
    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_negative(x)]):
  output = tf.reduce_sum(x)

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

Args:

  • 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_negative".

Returns:

Op raising InvalidArgumentError unless x is all negative.