| /* |
| * 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 "ArithmeticDivision.h" |
| |
| #include "arm_compute/core/Types.h" |
| #include "tests/validation/Helpers.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| namespace |
| { |
| template <size_t dim> |
| struct BroadcastUnroll |
| { |
| template <typename T> |
| static void unroll(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, SimpleTensor<T> &dst, |
| Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst) |
| { |
| const bool src1_is_broadcast = (src1.shape()[dim - 1] != dst.shape()[dim - 1]); |
| const bool src2_is_broadcast = (src2.shape()[dim - 1] != dst.shape()[dim - 1]); |
| |
| id_src1.set(dim - 1, 0); |
| id_src2.set(dim - 1, 0); |
| id_dst.set(dim - 1, 0); |
| |
| for(size_t i = 0; i < dst.shape()[dim - 1]; ++i, ++id_dst[dim - 1]) |
| { |
| BroadcastUnroll < dim - 1 >::unroll(src1, src2, dst, id_src1, id_src2, id_dst); |
| |
| id_src1[dim - 1] += !src1_is_broadcast; |
| id_src2[dim - 1] += !src2_is_broadcast; |
| } |
| } |
| }; |
| |
| template <> |
| struct BroadcastUnroll<0> |
| { |
| template <typename T> |
| static void unroll(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, SimpleTensor<T> &dst, |
| Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst) |
| { |
| dst[coord2index(dst.shape(), id_dst)] = src1[coord2index(src1.shape(), id_src1)] / src2[coord2index(src2.shape(), id_src2)]; |
| } |
| }; |
| } // namespace |
| |
| template <typename T> |
| SimpleTensor<T> arithmetic_division(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, DataType data_type) |
| { |
| SimpleTensor<T> dst(TensorShape::broadcast_shape(src1.shape(), src2.shape()), data_type); |
| |
| Coordinates id_src1{}; |
| Coordinates id_src2{}; |
| Coordinates id_dst{}; |
| |
| BroadcastUnroll<Coordinates::num_max_dimensions>::unroll(src1, src2, dst, id_src1, id_src2, id_dst); |
| |
| return dst; |
| } |
| |
| template SimpleTensor<half> arithmetic_division(const SimpleTensor<half> &src1, const SimpleTensor<half> &src2, DataType data_type); |
| template SimpleTensor<float> arithmetic_division(const SimpleTensor<float> &src1, const SimpleTensor<float> &src2, DataType data_type); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |