Supports Squeeze in Tf Lite.

PiperOrigin-RevId: 182429180

1 files changed, 51 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/toco/graph_transformations/resolve_squeeze_attributes.cc b/tensorflow/contrib/lite/toco/graph_transformations/resolve_squeeze_attributes.cc
new file mode 100644
index 0000000000..dd3e73635a
--- /dev/null
+++ b/tensorflow/contrib/lite/toco/graph_transformations/resolve_squeeze_attributes.cc
@@ -0,0 +1,51 @@
+/* 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 ResolveSqueezeAttributes::Run(Model* model, std::size_t op_index) {
+  auto* squeeze_op = model->operators[op_index].get();
+  if (squeeze_op->type != OperatorType::kSqueeze) {
+    return false;
+  }
+  DCHECK_EQ(squeeze_op->inputs.size(), 1);
+  DCHECK_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