1 files changed, 66 insertions, 0 deletions
diff --git a/compiler/ann-ref/src/ops/Concatenation.cpp b/compiler/ann-ref/src/ops/Concatenation.cpp
new file mode 100644
index 000000000..6bfe640b5
--- /dev/null
+++ b/compiler/ann-ref/src/ops/Concatenation.cpp
@@ -0,0 +1,66 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (C) 2017 The Android Open Source Project
+ *
+ * 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 "Concatenation.h"
+#include "Assert.h"
+
+bool concatenationPrepare(const std::vector<Shape> &inputShapes, int32_t axis, Shape *output)
+{
+
+  int num_inputs = inputShapes.size();
+  OperandType input_type = inputShapes[0].type;
+  uint32_t num_dimensions = getNumberOfDimensions(inputShapes[0]);
+
+  ASSERT(axis >= 0);
+  ASSERT(axis < (int32_t)num_dimensions);
+
+  int sum_axis = getSizeOfDimension(inputShapes[0], axis);
+  for (int i = 1; i < num_inputs; ++i)
+  {
+    ASSERT(getNumberOfDimensions(inputShapes[i]) == num_dimensions);
+    ASSERT(inputShapes[i].type == inputShapes[0].type);
+    if (input_type == OperandType::TENSOR_QUANT8_ASYMM)
+    {
+      ASSERT(inputShapes[0].offset == inputShapes[i].offset);
+      ASSERT(inputShapes[0].scale == inputShapes[i].scale);
+    }
+    for (int d = 0; d < (int32_t)num_dimensions; ++d)
+    {
+      if (d == axis)
+      {
+        sum_axis += getSizeOfDimension(inputShapes[i], axis);
+      }
+      else
+      {
+        ASSERT(getSizeOfDimension(inputShapes[0], d) ==
+                     getSizeOfDimension(inputShapes[i], d));
+      }
+    }
+  }
+
+  output->type = input_type;
+  output->dimensions = inputShapes[0].dimensions;
+  output->dimensions[axis] = sum_axis;
+
+  if (input_type == OperandType::TENSOR_QUANT8_ASYMM)
+  {
+    ASSERT(inputShapes[0].offset == output->offset);
+    ASSERT(inputShapes[0].scale == output->scale);
+  }
+
+  return true;
+}