# tf.compat.v1.assert_variables_initialized

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/ops/variables.py#L1950-L1990) |

Returns an Op to check if variables are initialized.

    tf.compat.v1.assert_variables_initialized(
        var_list=None
    )

> [!NOTE]
> **Note:** This function is obsolete and will be removed in 6 months. Please change your implementation to use `report_uninitialized_variables()`.

When run, the returned Op will raise the exception `FailedPreconditionError`
if any of the variables has not yet been initialized.

> [!NOTE]
> **Note:** This function is implemented by trying to fetch the values of the variables. If one of the variables is not initialized a message may be logged by the C++ runtime. This is expected.

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| ## Args ||
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| `var_list` | List of `Variable` objects to check. Defaults to the value of `global_variables().` |

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| ## Returns ||
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| An Op, or None if there are no variables. ||

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> [!NOTE]
> **Note:** The output of this function should be used. If it is not, a warning will be logged or an error may be raised. To mark the output as used, call its .mark_used() method.