| /* |
| * 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 "SliceOperations.h" |
| |
| #include "arm_compute/core/utils/helpers/tensor_transform.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 actual end |
| Coordinates ends_abs = slice_absolute_end_coords(src_shape, ends); |
| |
| // Get destination shape |
| TensorShape dst_shape = compute_slice_output_shape(src_shape, starts, ends_abs); |
| |
| // 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 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 |