| /* |
| * Copyright (c) 2017 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 "L2NormalizeLayer.h" |
| #include "ReductionOperation.h" |
| |
| #include "tests/validation/Helpers.h" |
| |
| #include <algorithm> |
| #include <cmath> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| namespace |
| { |
| TensorShape get_output_shape(TensorShape shape, unsigned int axis) |
| { |
| TensorShape output_shape(shape); |
| output_shape.set(axis, 1); |
| return output_shape; |
| } |
| } // namespace |
| |
| template <typename T> |
| SimpleTensor<T> l2_normalize(const SimpleTensor<T> &src, unsigned int axis, float epsilon) |
| { |
| // Create reference |
| SimpleTensor<T> dst{ src.shape(), src.data_type() }; |
| |
| // Reduce across given axis |
| SimpleTensor<T> sum = reduction_operation(src, get_output_shape(src.shape(), axis), axis, ReductionOperation::SUM_SQUARE); |
| |
| // Compute reference |
| const int elems = src.shape()[axis]; |
| const int upper_dims = src.shape().total_size_upper(axis + 1); |
| |
| for(int du = 0; du < upper_dims; ++du) |
| { |
| if(axis == 0) |
| { |
| const T *src_row_ptr = src.data() + du * elems; |
| T *dst_row_ptr = dst.data() + du * elems; |
| const T normalization_value = std::sqrt(std::max(sum[du], epsilon)); |
| std::transform(src_row_ptr, src_row_ptr + elems, dst_row_ptr, [normalization_value](T val) |
| { |
| return val / normalization_value; |
| }); |
| } |
| else |
| { |
| ARM_COMPUTE_ERROR("Unsupported normalization axis"); |
| } |
| } |
| |
| return dst; |
| } |
| |
| template SimpleTensor<float> l2_normalize(const SimpleTensor<float> &src, unsigned int axis, float epsilon); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |