tf.contrib.framework.VariableDeviceChooser.__init__(num_tasks=0, job_name='ps', device_type='CPU', device_index=0) Initialize

tf.contrib.framework.get_variables(scope=None, suffix=None, collection='variables') Gets the list of variables, filtered by scope

tf.contrib.framework.get_variables_by_suffix(suffix, scope=None) Gets the list of variables that end with the given suffix.

tf.contrib.framework.add_arg_scope(func) Decorates a function with args so it can be used within an arg_scope.

tf.is_numeric_tensor(tensor)

tf.contrib.framework.variable(*args, **kwargs) Gets an existing variable with these parameters or creates a new one.

tf.contrib.framework.assert_or_get_global_step(graph=None, global_step_tensor=None) Verifies that a global step tensor is valid

tf.contrib.framework.assert_global_step(global_step_tensor) Asserts global_step_tensor is a scalar int Variable

tf.contrib.framework.deprecated_args(date, instructions, *deprecated_arg_names) Decorator for marking specific function arguments

tf.contrib.framework.get_unique_variable(var_op_name) Gets the variable uniquely identified by that var_op_name.