Enable three operation of CpuExecutor
authorHyung-Kyu Choi <hk0110.choi@samsung.com>
Thu, 29 Mar 2018 15:00:53 +0000 (00:00 +0900)
committer최형규/동작제어Lab(SR)/Senior Engineer/삼성전자 <hk0110.choi@samsung.com>
Fri, 30 Mar 2018 00:15:10 +0000 (09:15 +0900)
- Introduce Concatenation operation
- Enable OperationType::CONCATENATION, OperationType::SOFTMAX
  and OperationType::MAX_POOL_2D of CpuExecutor

Signed-off-by: Hyung-Kyu Choi <hk0110.choi@samsung.com>
src/runtime/ref/nn/common/CMakeLists.txt
src/runtime/ref/nn/common/CpuExecutor.cpp
src/runtime/ref/nn/common/operations/Concatenation.cpp [new file with mode: 0644]

index 285c850..7ec3803 100644 (file)
@@ -14,6 +14,7 @@ SET (CUR_SRCS
      ${CMAKE_CURRENT_SOURCE_DIR}/OperationsUtils.cpp
      ${CMAKE_CURRENT_SOURCE_DIR}/Utils.cpp
      ${CMAKE_CURRENT_SOURCE_DIR}/operations/Activation.cpp
+     ${CMAKE_CURRENT_SOURCE_DIR}/operations/Concatenation.cpp
      ${CMAKE_CURRENT_SOURCE_DIR}/operations/Pooling.cpp
      ${CMAKE_CURRENT_SOURCE_DIR}/operations/SimpleMath.cpp
 )
index 9f3473b..25f1973 100644 (file)
@@ -715,6 +715,7 @@ int CpuExecutor::executeOperation(const Operation& operation) {
                                         outShape);
             }
         } break;
+#endif // REF-ANN
         case OperationType::MAX_POOL_2D: {
             const size_t inCount = ins.size();
             if ((inCount != 10 && inCount != 7) ||
@@ -796,6 +797,7 @@ int CpuExecutor::executeOperation(const Operation& operation) {
             }
 
         } break;
+#if 0 // REF-ANN
         case OperationType::RELU: {
             if (!allParametersPresent(1, 1)) {
                 return ANEURALNETWORKS_BAD_DATA;
@@ -909,6 +911,7 @@ int CpuExecutor::executeOperation(const Operation& operation) {
                                          outShape);
             }
         } break;
+#endif // REF-ANN
         case OperationType::SOFTMAX: {
             if (!allParametersPresent(2, 1)) {
                 return ANEURALNETWORKS_BAD_DATA;
@@ -941,6 +944,7 @@ int CpuExecutor::executeOperation(const Operation& operation) {
                                         output.shape());
             }
         } break;
+#if 0 // REF-ANN
         case OperationType::FULLY_CONNECTED: {
             if (!allParametersPresent(4, 1)) {
                 return ANEURALNETWORKS_BAD_DATA;
@@ -982,6 +986,7 @@ int CpuExecutor::executeOperation(const Operation& operation) {
                                                outShape);
             }
         } break;
+#endif // REF-ANN
         case OperationType::CONCATENATION: {
             if (outs.size() != 1 || ins.size() < 2) {
                 return ANEURALNETWORKS_BAD_DATA;
@@ -1022,6 +1027,7 @@ int CpuExecutor::executeOperation(const Operation& operation) {
                                               outShape);
             }
         } break;
+#if 0 // REF-ANN
         case OperationType::L2_NORMALIZATION: {
             if (!allParametersPresent(1, 1)) {
                 return ANEURALNETWORKS_BAD_DATA;
diff --git a/src/runtime/ref/nn/common/operations/Concatenation.cpp b/src/runtime/ref/nn/common/operations/Concatenation.cpp
new file mode 100644 (file)
index 0000000..a8ba740
--- /dev/null
@@ -0,0 +1,63 @@
+/*
+ * 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 android {
+namespace nn {
+
+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 nn
+}  // namespace android