1 files changed, 87 insertions, 0 deletions
diff --git a/runtimes/nn/common/operations/FullyConnected.cpp b/runtimes/nn/common/operations/FullyConnected.cpp
new file mode 100644
index 000000000..393d0ff9e
--- /dev/null
+++ b/runtimes/nn/common/operations/FullyConnected.cpp
@@ -0,0 +1,87 @@
+/*
+ * 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 fullyConnectedFloat32(const float* inputData, const Shape& inputShape,
+                           const float* weightsData, const Shape& weightsShape,
+                           const float* biasData, const Shape& biasShape,
+                           int32_t activation,
+                           float* outputData, const Shape& outputShape) {
+
+    #define ANDROID_NN_FULLY_CONNECTED(activation)                              \
+        optimized_ops::FullyConnected<FusedActivationFunctionType::activation>( \
+            inputData, convertShapeToDims(inputShape),                          \
+            weightsData, convertShapeToDims(weightsShape),                      \
+            biasData, convertShapeToDims(biasShape),                            \
+            outputData, convertShapeToDims(outputShape))
+
+    ANDROID_NN_MACRO_DISPATCH(ANDROID_NN_FULLY_CONNECTED)
+    #undef ANDROID_NN_FULLY_CONNECTED
+    return true;
+}
+
+bool fullyConnectedQuant8(const uint8_t* inputData, const Shape& inputShape,
+                          const uint8_t* weightsData, const Shape& weightsShape,
+                          const int32_t* biasData, const Shape& biasShape,
+                          int32_t activation,
+                          uint8_t* outputData, const Shape& outputShape) {
+    int32_t inputOffset = -inputShape.offset;
+    int32_t weightsOffset = -weightsShape.offset;
+    int32_t outputOffset = outputShape.offset;
+
+    float real_multiplier = 0.0;
+    int32_t output_multiplier = 0;
+    int32_t output_shift = 0;
+    int32_t output_activation_min = 0;
+    int32_t output_activation_max = 0;
+
+    if (!GetQuantizedConvolutionMultipler(inputShape, weightsShape, biasShape,
+                                          outputShape, &real_multiplier) ||
+            !QuantizeMultiplierSmallerThanOne(real_multiplier, &output_multiplier,
+                                              &output_shift)) {
+        return false;
+    }
+    CalculateActivationRangeUint8(activation, outputShape,
+                                  &output_activation_min,
+                                  &output_activation_max);
+
+    static gemmlowp::GemmContext gemm_context;
+    // Alow gemmlowp automatcally decide how many threads to use.
+    gemm_context.set_max_num_threads(0);
+
+    #define ANDROID_NN_FULLY_CONNECTED(activation)                              \
+        optimized_ops::FullyConnected<FusedActivationFunctionType::activation>( \
+            inputData, convertShapeToDims(inputShape), inputOffset,             \
+            weightsData, convertShapeToDims(weightsShape), weightsOffset,       \
+            biasData, convertShapeToDims(biasShape),                            \
+            outputOffset, output_multiplier, output_shift,                      \
+            output_activation_min, output_activation_max,                       \
+            outputData, convertShapeToDims(outputShape), &gemm_context)
+
+    ANDROID_NN_MACRO_DISPATCH(ANDROID_NN_FULLY_CONNECTED)
+    #undef ANDROID_NN_FULLY_CONNECTED
+    return true;
+}
+}  // namespace rt
+}  // namespace nnfw