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/*
* 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 = coords.size();
::arm_compute::Coordinates acl_coords;
for (size_t i = 0; i < rank; ++i)
{
acl_coords.set(acl_common::ToARMComputeAxis(rank, i).value(), coords[i]);
}
return info()->offset_element_in_bytes(acl_coords);
}
model::Layout IACLTensor::layout() const
{
return acl_common::asRuntimeLayout(info()->data_layout());
}
} // namespace acl_common
} // namespace backend
} // namespace neurun
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