1 files changed, 0 insertions, 96 deletions
diff --git a/compute/ARMComputeEx/src/runtime/NEON/functions/NEFullyConnectedReshapingLayer.cpp b/compute/ARMComputeEx/src/runtime/NEON/functions/NEFullyConnectedReshapingLayer.cpp
deleted file mode 100644
index dc6c78478..000000000
--- a/compute/ARMComputeEx/src/runtime/NEON/functions/NEFullyConnectedReshapingLayer.cpp
+++ /dev/null
@@ -1,96 +0,0 @@
-/*
- * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * 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 "arm_compute/runtime/NEON/functions/NEFullyConnectedReshapingLayer.h"
-
-#include <arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h>
-#include <arm_compute/runtime/NEON/functions/NEFullyConnectedHybridLayer.h>
-#include <arm_compute/runtime/NEON/functions/NEFullyConnectedLayerEx.h>
-
-using namespace arm_compute;
-
-void NEFullyConnectedReshapingLayer::configure(const arm_compute::ITensor *input,
-                                               const arm_compute::ITensor *weights,
-                                               const arm_compute::ITensor *biases,
-                                               arm_compute::ITensor *output, bool needs_reshape,
-                                               const arm_compute::TensorShape &reshape,
-                                               KernelType kernel_type)
-{
-  _input = input;
-  _weights = weights;
-  _biases = biases;
-  _output = output;
-  _needs_reshape = needs_reshape;
-
-  const ITensor *input_to_use = input;
-  if (_needs_reshape)
-  {
-    // reshape
-    auto_init_if_empty(*_neon_buffer.info(), _input->info()->clone()->set_tensor_shape(reshape));
-    _neon_reshape.configure(_input, &_neon_buffer);
-    input_to_use = &_neon_buffer;
-  }
-
-  _neon_fc = [&]() {
-    if (kernel_type == KernelType::GENERAL)
-    {
-      auto fc = new arm_compute::NEFullyConnectedLayerEx{_memory_manager};
-      fc->configure(input_to_use, _weights, _biases, _output);
-      return std::unique_ptr<arm_compute::IFunction>(fc);
-    }
-    else
-    {
-      assert(kernel_type == KernelType::PREPROCESSED_WEIGHTS);
-
-      bool is_hybrid = input->info()->data_type() == DataType::F32 &&
-                       (weights->info()->data_type() == DataType::S8 ||
-                        weights->info()->data_type() == DataType::QASYMM8_SIGNED);
-
-      if (is_hybrid)
-      {
-        auto fc = new arm_compute::NEFullyConnectedHybridLayer{_memory_manager};
-        ITensorInfo *weights_info = const_cast<ITensorInfo *>(_weights->info());
-        const auto orgin_weights_data_type = weights_info->data_type();
-        weights_info->set_data_type(DataType::QASYMM8_SIGNED);
-        fc->configure(input_to_use, _weights, _biases, _output);
-        weights_info->set_data_type(orgin_weights_data_type);
-        return std::unique_ptr<arm_compute::IFunction>(fc);
-      }
-      else
-      {
-        auto fc = new arm_compute::NEFullyConnectedLayer{_memory_manager};
-        fc->configure(input_to_use, _weights, _biases, _output);
-        return std::unique_ptr<arm_compute::IFunction>(fc);
-      }
-    }
-  }();
-
-  // NOTE _neon_buffer is inaccessible from outside, and thus it is safe to invoke allocate here.
-  if (_needs_reshape)
-  {
-    _neon_buffer.allocator()->allocate();
-  }
-}
-
-void NEFullyConnectedReshapingLayer::run(void)
-{
-  if (_needs_reshape)
-    _neon_reshape.run();
-
-  _neon_fc->run();
-}
-
-void NEFullyConnectedReshapingLayer::prepare(void) { _neon_fc->prepare(); }