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/*
* Copyright (c) 2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "StridedSlice.h"
#include "arm_compute/core/utils/helpers/tensor_transform.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> strided_slice(const SimpleTensor<T> &src,
Coordinates starts, Coordinates ends, BiStrides strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
{
using namespace arm_compute::helpers::tensor_transform;
// Validation checks
ARM_COMPUTE_ERROR_ON(src.shape().num_dimensions() > 4);
ARM_COMPUTE_ERROR_ON(starts.num_dimensions() > src.shape().num_dimensions());
ARM_COMPUTE_ERROR_ON(ends.num_dimensions() > src.shape().num_dimensions());
ARM_COMPUTE_ERROR_ON(strides.num_dimensions() > src.shape().num_dimensions());
for(unsigned int i = 0; i < strides.num_dimensions(); ++i)
{
ARM_COMPUTE_ERROR_ON(strides[i] == 0);
}
// Get source shape
const TensorShape &src_shape = src.shape();
// Get actual start, end coordinates and strides
const Coordinates final_strides = strided_slice_strides(src_shape, strides);
const Coordinates starts_abs = strided_slice_absolute_start_coords(src_shape, starts, final_strides, begin_mask);
const Coordinates ends_abs = strided_slice_absolute_end_coords(src_shape, starts_abs, ends, final_strides, end_mask, shrink_axis_mask);
// Get destination shape
const TensorShape dst_shape = compute_strided_slice_output_shape(src_shape, starts_abs, ends_abs, final_strides);
// Create destination tensor
SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 };
// Perform strided slice
Window win;
win.use_tensor_dimensions(dst_shape);
execute_window_loop(win, [&](const Coordinates & id)
{
Coordinates offset;
for(unsigned int i = 0; i < id.num_dimensions(); ++i)
{
offset.set(i, starts_abs[i] + id[i] * final_strides[i]);
}
*reinterpret_cast<T *>(dst(id)) = *reinterpret_cast<const T *>(src(offset));
});
return dst;
}
template SimpleTensor<float> strided_slice(const SimpleTensor<float> &src,
Coordinates starts, Coordinates ends, BiStrides strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
template SimpleTensor<half_float::half> strided_slice(const SimpleTensor<half_float::half> &src,
Coordinates starts, Coordinates ends, BiStrides strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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