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-rw-r--r--tensorflow/compiler/tf2xla/side_effect_util.cc67
1 files changed, 67 insertions, 0 deletions
diff --git a/tensorflow/compiler/tf2xla/side_effect_util.cc b/tensorflow/compiler/tf2xla/side_effect_util.cc
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+/* Copyright 2018 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.
+==============================================================================*/
+
+#include "tensorflow/compiler/tf2xla/side_effect_util.h"
+
+#include "tensorflow/core/graph/algorithm.h"
+
+namespace tensorflow {
+
+const char kXlaTokenInputNodesAttrName[] = "_xla_token_input_nodes";
+
+const char kXlaTokenArgNodeName[] = "_xla_token_arg_node";
+
+std::set<std::string> CalculateTokenInputsForOutputToken(const Graph& g) {
+ std::set<std::string> results;
+ Node* first_side_effecting_node_on_path = nullptr;
+ ReverseDFS(g,
+ [&](Node* n) {
+ std::vector<string> token_input_nodes;
+ if (!GetNodeAttr(n->attrs(), kXlaTokenInputNodesAttrName,
+ &token_input_nodes)
+ .ok() ||
+ token_input_nodes.empty()) {
+ return;
+ }
+
+ if (first_side_effecting_node_on_path != nullptr) {
+ return;
+ }
+
+ first_side_effecting_node_on_path = n;
+ results.insert(n->name());
+ },
+ [&](Node* n) {
+ if (first_side_effecting_node_on_path == n) {
+ first_side_effecting_node_on_path = nullptr;
+ }
+ },
+ NodeComparatorName());
+ return results;
+}
+
+bool HasSideEffectingNodes(const Graph& g) {
+ for (Node* n : g.nodes()) {
+ std::vector<string> token_input_nodes;
+ if (GetNodeAttr(n->attrs(), kXlaTokenInputNodesAttrName, &token_input_nodes)
+ .ok() &&
+ !token_input_nodes.empty()) {
+ return true;
+ }
+ }
+ return false;
+}
+
+} // namespace tensorflow