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/*
* Copyright (c) 2018-2019 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 "SliceOperations.h"
#include "arm_compute/core/utils/helpers/tensor_transform.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> slice(const SimpleTensor<T> &src, Coordinates starts, Coordinates ends)
{
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(std::any_of(starts.cbegin(), starts.cbegin() + starts.num_dimensions(), [](int i)
{
return i < 0;
}));
ARM_COMPUTE_ERROR_ON(ends.num_dimensions() > src.shape().num_dimensions());
// Get source shape
const TensorShape &src_shape = src.shape();
// Get destination shape
TensorShape dst_shape = arm_compute::misc::shape_calculator::compute_slice_shape(src_shape, starts, ends);
// Create destination tensor
SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 };
// Perform 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[i] + id[i]);
}
*reinterpret_cast<T *>(dst(id)) = *reinterpret_cast<const T *>(src(offset));
});
return dst;
}
template SimpleTensor<float> slice(const SimpleTensor<float> &src, Coordinates starts, Coordinates ends);
template SimpleTensor<half_float::half> slice(const SimpleTensor<half_float::half> &src, Coordinates starts, Coordinates ends);
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());
ARM_COMPUTE_ERROR_ON(std::any_of(strides.cbegin(), strides.cbegin() + strides.num_dimensions(), [](int i)
{
return i == 0;
}));
// Get source shape
const TensorShape &src_shape = src.shape();
// Get destination shape
const TensorShape dst_shape = compute_strided_slice_output_shape(src_shape, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
// Create destination tensor
SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 };
// Get coordinates
Coordinates starts_abs{};
Coordinates ends_abs{};
Coordinates final_strides{};
std::tie(starts_abs, ends_abs, final_strides) = calculate_strided_slice_coords(src_shape,
starts, ends, strides,
begin_mask, end_mask, shrink_axis_mask);
// Perform strided slice
unsigned int idx = 0;
Window win;
win.use_tensor_dimensions(compute_strided_slice_output_shape(src_shape,
starts, ends, strides,
begin_mask, end_mask, shrink_axis_mask, true));
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]);
}
dst.data()[idx++] = *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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