1 files changed, 55 insertions, 0 deletions
diff --git a/compiler/ann-ref/src/OperandType.cpp b/compiler/ann-ref/src/OperandType.cpp
new file mode 100644
index 000000000..9f75fcc54
--- /dev/null
+++ b/compiler/ann-ref/src/OperandType.cpp
@@ -0,0 +1,55 @@
+/*
+ * 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 "OperandType.h"
+#include "Macro.h"
+
+const char *kTypeNames[] = {
+    "FLOAT32", "INT32", "UINT32", "TENSOR_FLOAT32", "TENSOR_INT32", "TENSOR_QUANT8_ASYMM",
+};
+
+static_assert(COUNT(kTypeNames) == kNumberOfDataTypes, "kTypeNames is incorrect");
+
+const uint32_t kSizeOfDataType[]{
+    4, // ANEURALNETWORKS_FLOAT32
+    4, // ANEURALNETWORKS_INT32
+    4, // ANEURALNETWORKS_UINT32
+    4, // ANEURALNETWORKS_TENSOR_FLOAT32
+    4, // ANEURALNETWORKS_TENSOR_INT32
+    1  // ANEURALNETWORKS_TENSOR_SYMMETRICAL_QUANT8
+};
+
+static_assert(COUNT(kSizeOfDataType) == kNumberOfDataTypes, "kSizeOfDataType is incorrect");
+
+const char *getOperandTypeName(OperandType type)
+{
+  uint32_t n = static_cast<uint32_t>(type);
+  return kTypeNames[n];
+}
+
+uint32_t sizeOfData(OperandType type, const std::vector<uint32_t> &dimensions)
+{
+  int n = static_cast<int>(type);
+
+  uint32_t size = kSizeOfDataType[n];
+
+  for (auto d : dimensions)
+  {
+    size *= d;
+  }
+  return size;
+}