View source on GitHub
  
 | 
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)
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_less_equal". | 
Returns | |
|---|---|
Op that raises InvalidArgumentError if x <= y is False.
 | 
Raises | |
|---|---|
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.
 | 
Eager Compatibility
returns None
    View source on GitHub