1 files changed, 57 insertions, 0 deletions
diff --git a/compiler/ann-ref/src/ops/Conv2D.cpp b/compiler/ann-ref/src/ops/Conv2D.cpp
new file mode 100644
index 000000000..ef4407e00
--- /dev/null
+++ b/compiler/ann-ref/src/ops/Conv2D.cpp
@@ -0,0 +1,57 @@
+/*
+ * 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 "Conv2D.h"
+#include "Assert.h"
+
+#include "internal/Spatial.h"
+
+bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left,
+                 int32_t padding_right, int32_t padding_top, int32_t padding_bottom,
+                 int32_t stride_width, int32_t stride_height, Shape *output)
+{
+  ASSERT(input.type == filter.type);
+  if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
+  {
+    ASSERT(bias.type == OperandType::TENSOR_INT32);
+  }
+  else
+  {
+    ASSERT(input.type == bias.type);
+  }
+  ASSERT(getNumberOfDimensions(input) == 4);
+  ASSERT(getNumberOfDimensions(filter) == 4);
+  ASSERT(getNumberOfDimensions(bias) == 1);
+
+  ASSERT(getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0));
+  ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(input, 3));
+
+  uint32_t channels_out = getSizeOfDimension(filter, 0);
+  uint32_t width = getSizeOfDimension(input, 2);
+  uint32_t height = getSizeOfDimension(input, 1);
+  uint32_t filterWidth = getSizeOfDimension(filter, 2);
+  uint32_t filterHeight = getSizeOfDimension(filter, 1);
+  uint32_t batches = getSizeOfDimension(input, 0);
+
+  uint32_t outWidth = computeOutSize(width, filterWidth, stride_width, padding_left, padding_right);
+  uint32_t outHeight =
+      computeOutSize(height, filterHeight, stride_height, padding_top, padding_bottom);
+
+  output->type = input.type;
+  output->dimensions = {batches, outHeight, outWidth, channels_out};
+  return true;
+}