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Assert the condition x <= y holds element-wise.
tf.compat.v1.assert_less_equal(
x, y, data=None, summarize=None, message=None, name=None
)
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.
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.compat.v1.assert_less_equal(x, y)]):
output = tf.reduce_sum(x)
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_less_equal".Op that raises InvalidArgumentError if x <= y is False.
InvalidArgumentError: if the check can be performed immediately and
x <= y is False. The check can be performed immediately during
eager execution or if x and y are statically known.returns None