# tf.compat.v1.assert_positive

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/check_ops.py#L629-L646) |

Assert the condition `x > 0` holds element-wise.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.debugging.assert_positive`](https://www.tensorflow.org/api_docs/python/tf/compat/v1/assert_positive)

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    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.

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| ## 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". |

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| ## Returns ||
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| Op that raises `InvalidArgumentError` if `x > 0` is False. ||

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| ## Raises ||
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| `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. |

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## eager compatibility

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returns None

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