1 files changed, 64 insertions, 0 deletions
diff --git a/runtimes/nn/common/operations/Concatenation.cpp b/runtimes/nn/common/operations/Concatenation.cpp
new file mode 100644
index 000000000..55de24d4d
--- /dev/null
+++ b/runtimes/nn/common/operations/Concatenation.cpp
@@ -0,0 +1,64 @@
+/*
+ * 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 "Operations.h"
+#include "OperationsUtils.h"
+
+#include "internal/optimized/optimized_ops.h"
+
+namespace nnfw {
+namespace rt {
+
+bool concatenationFloat32(const std::vector<const float*>& inputDataPtrs,
+                          const std::vector<Shape>& inputShapes, int32_t axis,
+                          float* outputData, const Shape& outputShape) {
+    int num_inputs = inputShapes.size();
+    std::vector<Dims<4>*> inputDimsPtr(num_inputs);
+    std::vector<Dims<4> > inputDims(num_inputs);
+    for (int i=0; i<num_inputs; i++) {
+        inputDims[i] = convertShapeToDims(inputShapes[i]);
+        inputDimsPtr[i] = &inputDims[i];
+    }
+
+    optimized_ops::Concatenation<FusedActivationFunctionType::kNone, float>(
+            getNumberOfDimensions(outputShape) - axis - 1,
+            inputDataPtrs.data(), inputDimsPtr.data(), num_inputs,
+            outputData, convertShapeToDims(outputShape));
+
+    return true;
+}
+
+bool concatenationQuant8(const std::vector<const uint8_t*>& inputDataPtrs,
+                         const std::vector<Shape>& inputShapes, int32_t axis,
+                         uint8_t* outputData, const Shape& outputShape) {
+    int num_inputs = inputShapes.size();
+    std::vector<Dims<4>*> inputDimsPtr(num_inputs);
+    std::vector<Dims<4> > inputDims(num_inputs);
+    for (int i=0; i<num_inputs; i++) {
+        inputDims[i] = convertShapeToDims(inputShapes[i]);
+        inputDimsPtr[i] = &inputDims[i];
+    }
+
+    optimized_ops::Concatenation<FusedActivationFunctionType::kNone, uint8_t>(
+            getNumberOfDimensions(outputShape) - axis - 1,
+            inputDataPtrs.data(), inputDimsPtr.data(), num_inputs,
+            outputData, convertShapeToDims(outputShape));
+
+    return true;
+}
+}  // namespace rt
+}  // namespace nnfw