View source on GitHub
  
 | 
Assert the condition x >= y holds element-wise.
tf.compat.v1.assert_greater_equal(
    x, y, data=None, summarize=None, message=None, name=None
)
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.compat.v1.assert_greater_equal(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_equal" | 
Returns | |
|---|---|
Op that raises InvalidArgumentError if x >= y is False.
 | 
    View source on GitHub