# tf.assert_greater(x, y, data=None, summarize=None, message=None, name=None)

### tf.assert_greater(x, y, data=None, summarize=None, message=None, name=None)

See the guide: Asserts and boolean checks

Assert the condition x > y holds element-wise.

Example of adding a dependency to an operation:

with tf.control_dependencies([tf.assert_greater(x, y)]):
output = tf.reduce_sum(x)


This condition holds if for every pair of (possibly broadcast) elements x[i], y[i], we have x[i] > y[i]. If both x and y are empty, this is trivially satisfied.

#### Args:

• x: Numeric Tensor.
• y: Numeric Tensor, same dtype as and broadcastable to x.
• data: The tensors to print out if the condition is False. Defaults to error message and first few entries of x, y.
• 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_greater".

#### Returns:

Op that raises InvalidArgumentError if x > y is False.

Defined in tensorflow/python/ops/check_ops.py.