1 files changed, 60 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/toco/graph_transformations/resolve_reduce_attributes.cc b/tensorflow/contrib/lite/toco/graph_transformations/resolve_reduce_attributes.cc
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index 0000000000..7d456af2fb
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+++ b/tensorflow/contrib/lite/toco/graph_transformations/resolve_reduce_attributes.cc
@@ -0,0 +1,60 @@
+/* Copyright 2017 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 <memory>
+#include <string>
+#include <unordered_map>
+#include <vector>
+
+#include "tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.h"
+#include "tensorflow/contrib/lite/toco/model.h"
+#include "tensorflow/contrib/lite/toco/tooling_util.h"
+#include "tensorflow/core/platform/logging.h"
+
+namespace toco {
+
+template <typename T>
+bool ResolveAttributes(Model* model, T* op) {
+  if (!op->axis.empty()) {
+    // Attributes already resolved
+    return false;
+  }
+  if (op->inputs.size() != 2) return false;
+  if (!IsConstantParameterArray(*model, op->inputs[1])) return false;
+
+  const Array& indices_array = model->GetArray(op->inputs[1]);
+  if (!indices_array.has_shape()) return false;
+  op->axis = indices_array.GetBuffer<ArrayDataType::kInt32>().data;
+  return true;
+}
+
+bool ResolveReduceAttributes::Run(Model* model, std::size_t op_index) {
+  Operator* op = model->operators[op_index].get();
+  switch (op->type) {
+    case OperatorType::kMean:
+      return ResolveAttributes(model, static_cast<MeanOperator*>(op));
+    case OperatorType::kSum:
+      return ResolveAttributes(model, static_cast<TensorFlowSumOperator*>(op));
+    case OperatorType::kReduceProd:
+      return ResolveAttributes(model, static_cast<TensorFlowProdOperator*>(op));
+    case OperatorType::kReduceMin:
+      return ResolveAttributes(model, static_cast<TensorFlowMinOperator*>(op));
+    case OperatorType::kReduceMax:
+      return ResolveAttributes(model, static_cast<TensorFlowMaxOperator*>(op));
+    default:
+      return false;
+  }
+}
+
+}  // namespace toco