1 files changed, 0 insertions, 87 deletions
diff --git a/runtimes/nn/common/operations/FullyConnected.cpp b/runtimes/nn/common/operations/FullyConnected.cpp
deleted file mode 100644
index 393d0ff9e..000000000
--- a/runtimes/nn/common/operations/FullyConnected.cpp
+++ /dev/null
@@ -1,87 +0,0 @@
-/*
- * 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