(target_vars: List[tf.Variable] = None)
Initialize all tf.Variables that have not already been initialized.

    Equivalent to the following, but more efficient and does not bloat the tf graph:
    tf.variables_initializer(tf.report_uninitialized_variables()).run()
Initialize all tf.Variables that have not already been initialized.
Initialize all tf . Variables that have not already been initialized .
def init_uninitialized_vars(target_vars: List[tf.Variable] = None) -> None:
    """Initialize all tf.Variables that have not already been initialized.

    Equivalent to the following, but more efficient and does not bloat the tf graph:
    tf.variables_initializer(tf.report_uninitialized_variables()).run()
    """
    assert_tf_initialized()
    if target_vars is None:
        target_vars = tf.global_variables()

    test_vars = []
    test_ops = []

    with tf.control_dependencies(None):  # ignore surrounding control_dependencies
        for var in target_vars:
            assert is_tf_expression(var)

            try:
                tf.get_default_graph().get_tensor_by_name(var.name.replace(":0", "/IsVariableInitialized:0"))
            except KeyError:
                # Op does not exist => variable may be uninitialized.
                test_vars.append(var)

                with absolute_name_scope(var.name.split(":")[0]):
                    test_ops.append(tf.is_variable_initialized(var))

    init_vars = [var for var, inited in zip(test_vars, run(test_ops)) if not inited]
    run([var.initializer for var in init_vars])
def init_uninitialized_vars ( target_vars : List [ tf . Variable ] = None ) -> None : assert_tf_initialized ( ) if target_vars is None : target_vars = tf . global_variables ( ) test_vars = [ ] test_ops = [ ] with tf . control_dependencies ( None ) : # ignore surrounding control_dependencies for var in target_vars : assert is_tf_expression ( var ) try : tf . get_default_graph ( ) . get_tensor_by_name ( var . name . replace ( ":0" , "/IsVariableInitialized:0" ) ) except KeyError : # Op does not exist => variable may be uninitialized. test_vars . append ( var ) with absolute_name_scope ( var . name . split ( ":" ) [ 0 ] ) : test_ops . append ( tf . is_variable_initialized ( var ) ) init_vars = [ var for var , inited in zip ( test_vars , run ( test_ops ) ) if not inited ] run ( [ var . initializer for var in init_vars ] )