# Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """FuncGraphs for V2 control flow.""" from tensorflow.python.framework import func_graph from tensorflow.python.framework import ops class ControlFlowFuncGraph(func_graph.FuncGraph): """Contains control flow-specific FuncGraph logic.""" def __init__(self, *args, **kwargs): super(ControlFlowFuncGraph, self).__init__(*args, **kwargs) outer_graph = self.outer_graph # Unlike tf.function, control flow FuncGraphs are generally created one per # op. This means hard-coding any outer device scopes in the body (rather # than inspecting the call-time placement of the control flow op) makes # sense. self._device_function_stack = outer_graph._device_function_stack.copy() # pylint: disable=protected-access self.is_control_flow_graph = True if ops.executing_eagerly_outside_functions(): func_graph.override_func_graph_name_scope( self, self.outer_graph.get_name_scope()) class CondBranchFuncGraph(ControlFlowFuncGraph): """FuncGraph for branches of tf.cond(). This is used to distinguish cond branches from other functions. """ class WhileCondFuncGraph(ControlFlowFuncGraph): """FuncGraph for the condition of tf.while_loop(). This is used to distinguish while conditions from other functions. """ class WhileBodyFuncGraph(ControlFlowFuncGraph): """FuncGraph for the body of tf.while_loop(). This is used to distinguish while bodies from other functions. """