View source on GitHub
  
 | 
Assert the condition x > 0 holds element-wise.
tf.compat.v1.assert_positive(
    x, data=None, summarize=None, message=None, name=None
)
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.debugging.assert_positive(x, y)]):
  output = tf.reduce_sum(x)
Positive means, for every element x[i] of x, we have x[i] > 0.
If x is empty this is trivially satisfied.
Args | |
|---|---|
x
 | 
Numeric Tensor.
 | 
data
 | 
The tensors to print out if the condition is False.  Defaults to
error message and first few entries of x.
 | 
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_positive". | 
Returns | |
|---|---|
Op that raises InvalidArgumentError if x > 0 is False.
 | 
Raises | |
|---|---|
InvalidArgumentError
 | 
if the check can be performed immediately and
x > 0 is False. The check can be performed immediately during
eager execution or if x is statically known.
 | 
Eager Compatibility
returns None
    View source on GitHub