1 files changed, 62 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/toco/graph_transformations/resolve_constant_tensorflow_shape.cc b/tensorflow/contrib/lite/toco/graph_transformations/resolve_constant_tensorflow_shape.cc
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+++ b/tensorflow/contrib/lite/toco/graph_transformations/resolve_constant_tensorflow_shape.cc
@@ -0,0 +1,62 @@
+/* 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 <cstddef>
+#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 {
+
+bool ResolveConstantTensorFlowShape::Run(Model* model, std::size_t op_index) {
+  const auto tfshape_it = model->operators.begin() + op_index;
+  const auto* tfshape_base_op = tfshape_it->get();
+  if (tfshape_base_op->type != OperatorType::kTensorFlowShape) {
+    return false;
+  }
+
+  const auto* tfshape_op =
+      static_cast<const TensorFlowShapeOperator*>(tfshape_base_op);
+
+  const auto& input_array = model->GetArray(tfshape_op->inputs[0]);
+  auto& output_array = model->GetArray(tfshape_op->outputs[0]);
+
+  // Yield until the input array's shape has been resolved.
+  if (!input_array.has_shape()) {
+    return false;
+  }
+
+  // Create a buffer for the output array, making it a constant array, and
+  // copy the input shape into the output buffer.
+  CHECK(!output_array.buffer);
+  auto& output_buffer = output_array.GetMutableBuffer<ArrayDataType::kInt32>();
+  output_buffer.data = input_array.shape().dims();
+
+  // Erase the input array if no longer used
+  if (IsDiscardableArray(*model, tfshape_op->inputs[0]) &&
+      CountOpsWithInput(*model, tfshape_op->inputs[0]) == 1) {
+    model->arrays.erase(tfshape_op->inputs[0]);
+  }
+  model->operators.erase(tfshape_it);
+
+  return true;
+}
+
+}  // namespace toco