assert_positive(x, data=None, summarize=None, message=None, name=None)
Assert the condition `x > 0` holds element-wise.
Example of adding a dependency to an operation:
```python
with tf.control_dependencies([tf.assert_positive(x)]):
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 raising `InvalidArgumentError` unless `x` is all positive.
