1 files changed, 0 insertions, 70 deletions
diff --git a/libs/kernel/acl/src/Reshape.h b/libs/kernel/acl/src/Reshape.h
deleted file mode 100644
index ebd82477d..000000000
--- a/libs/kernel/acl/src/Reshape.h
+++ /dev/null
@@ -1,70 +0,0 @@
-/*
- * Copyright (c) 2018 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.
- */
-
-#ifndef __NNFW_KERNEL_ACL_RESHAPE_COMMON_H__
-#define __NNFW_KERNEL_ACL_RESHAPE_COMMON_H__
-#include <OperationsUtils.h>
-#include <arm_compute/core/TensorShape.h>
-#include <arm_compute/core/TensorInfo.h>
-
-// TODO: fix include path in CMakeFiles
-#include "IO_accessor.h"
-#include "shape.h"
-
-namespace nnfw {
-namespace kernel {
-namespace acl {
-
-namespace common {
-
-typedef std::function<void (void)> sync_scheduler_f;
-
-template<class TensorT, class LayerT>
-bool reshapeGeneric(const void* inputData, const nnfw::rt::Shape& inputShape,
-                    void* outputData, const nnfw::rt::Shape& outputShape,
-                    sync_scheduler_f sync_scheduler) {
-
-  auto input_shape = util::fromNNShape(inputShape);
-  auto output_shape = util::fromNNShape(outputShape);
-
-  TensorT input(arm_compute::TensorInfo(input_shape, arm_compute::Format::F32));
-  TensorT output(arm_compute::TensorInfo(output_shape, arm_compute::Format::F32));
-
-  LayerT l;
-
-  l.configure(input.ptr(), output.ptr());
-
-  input.allocate();
-  output.allocate();
-
-  TensorAccess<InputAccessor>(input.ref(), (float*)inputData, inputShape);
-
-  l.run();
-
-  sync_scheduler();
-
-  TensorAccess<OutputAccessor>(output.ref(), (float*)outputData, outputShape);
-
-  return true;
-}
-
-} // namespace common
-
-} // namespace acl
-} // namespace kernel
-} // namespace nnfw
-
-#endif // __NNFW_KERNEL_ACL_RESHAPE_COMMON_H__