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# 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.
"""