tf.assert_variables_initialized

tf.assert_variables_initialized(var_list=None)

Defined in tensorflow/python/ops/variables.py.

See the guide: Variables > Variable helper functions

Returns an Op to check if variables are initialized.

NOTE: This function is obsolete and will be removed in 6 months.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: 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.

Args:

• var_list: List of Variable objects to check. Defaults to the value of global_variables().

Returns:

An Op, or None if there are no variables.

NOTE The output of this function should be used. If it is not, a warning will be logged. To mark the output as used, call its .mark_used() method.