1 files changed, 0 insertions, 63 deletions
diff --git a/runtime/neurun/backend/acl_common/IACLTensor.cc b/runtime/neurun/backend/acl_common/IACLTensor.cc
deleted file mode 100644
index 70ffbdcf0..000000000
--- a/runtime/neurun/backend/acl_common/IACLTensor.cc
+++ /dev/null
@@ -1,63 +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 "IACLTensor.h"
-#include "Convert.h"
-#include "Swizzle.h"
-
-namespace neurun
-{
-namespace backend
-{
-namespace acl_common
-{
-
-size_t IACLTensor::num_dimensions() const
-{
-  throw std::runtime_error("No definition of num_dimensions()");
-  return 0;
-}
-
-size_t IACLTensor::dimension(size_t index) const
-{
-  // Assume that the front is higher dimensional.
-  // i.g. N: 0, C: 1, H: 2, W: 3 for NCHW layout
-  // NOTE This tensor must not be applied dim correction
-  assert(num_dimensions() > index);
-  const ARMComputeAxis reversed{(static_cast<uint32_t>(num_dimensions() - index) - 1)};
-  return info()->dimension(reversed.value());
-}
-
-size_t IACLTensor::calcOffset(const neurun::util::Coordinates &coords) const
-{
-  const auto rank = num_dimensions();
-  assert(rank == coords.size());
-
-  ::arm_compute::Coordinates acl_coords;
-  for (uint32_t i = 0; i < rank; ++i)
-  {
-    const ARMComputeAxis reversed{static_cast<uint32_t>((rank - i) - 1)};
-    acl_coords.set(reversed.value(), coords[i]);
-  }
-
-  return info()->offset_element_in_bytes(acl_coords);
-}
-
-ir::Layout IACLTensor::layout() const { return acl_common::asRuntimeLayout(info()->data_layout()); }
-
-} // namespace acl_common
-} // namespace backend
-} // namespace neurun