tf.assert_greater_equal( 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_equal(x, y)]): output = tf.reduce_sum(x)
This condition holds if for every pair of (possibly broadcast) elements
y[i], we have
x[i] >= y[i].
y are empty, this is trivially satisfied.
Tensor, same dtype as and broadcastable to
data: The tensors to print out if the condition is False. Defaults to error message and first few entries of
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_equal"
Op that raises
x >= y is False.