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+/* 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/graph_transformations/remove_trivial_passthrough.h"
+#include "tensorflow/contrib/lite/toco/model.h"
+#include "tensorflow/contrib/lite/toco/tooling_util.h"
+#include "tensorflow/core/platform/logging.h"
+
+namespace toco {
+
+bool ResolveTensorFlowSqueeze::Run(Model* model, std::size_t op_index) {
+ const auto squeeze_it = model->operators.begin() + op_index;
+ const auto* squeeze_op = squeeze_it->get();
+ if (squeeze_op->type != OperatorType::kSqueeze) {
+ return false;
+ }
+
+ CHECK_EQ(squeeze_op->inputs.size(), 1);
+ CHECK_EQ(squeeze_op->outputs.size(), 1);
+
+ // If the output is consumed by a reshape op, it's a trivial squeeze.
+ if (CountOpsWithInput(*model, squeeze_op->outputs[0]) == 1) {
+ const auto* next_op = GetOpWithInput(*model, squeeze_op->outputs[0]);
+ if (next_op->type == OperatorType::kTensorFlowReshape) {
+ AddMessageF(
+ "%s is trivial because its output is only consumed by a "
+ "Reshape op",
+ LogName(*squeeze_op));
+
+ return RemoveTrivialPassthroughOp(this, model, op_index);
+ }
+ }
+
+ return false;
+}
+
+} // namespace toco