tf.contrib.framework.with_shape(expected_shape, tensor) Asserts tensor has expected shape. If

tf.contrib.framework.has_arg_scope(func) Checks whether a func has been decorated with @add_arg_scope or not.

tf.contrib.framework.assert_same_float_dtype(tensors=None, dtype=None) Validate and return float type based on tensors

tf.contrib.framework.arg_scope(list_ops_or_scope, **kwargs) Stores the default arguments for the given set of list_ops.

tf.contrib.framework.arg_scoped_arguments(func) Returns the list kwargs that arg_scope can set for a func.

tf.contrib.framework.get_variables_to_restore(include=None, exclude=None) Gets the list of the variables to restore.

tf.contrib.framework.get_local_variables(scope=None, suffix=None) Gets the list of model variables, filtered by scope and/or suffix

tf.is_strictly_increasing(x, name=None) Returns True if x is strictly increasing.

tf.contrib.framework.assign_from_checkpoint_fn(model_path, var_list, ignore_missing_vars=False, reshape_variables=False) Returns

tf.contrib.framework.VariableDeviceChooser.__call__(op)