| /* |
| * Copyright (c) 2016-2019 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 "helpers.h" |
| |
| /** This kernel performs l2 normalization on x-axis |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| * @note The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] sum_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| * @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] sum_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] sum_step_y sum_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] sum_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] epsilon Epsilon value |
| */ |
| __kernel void l2_normalize_x( |
| IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(sum), |
| IMAGE_DECLARATION(dst), |
| DATA_TYPE epsilon) |
| { |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Image sum = CONVERT_TO_IMAGE_STRUCT(sum); |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| in = vload16(0, (__global DATA_TYPE *)src.ptr); |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| normalize_value = (VEC_DATA_TYPE(DATA_TYPE, 16))rsqrt(fmax(((__global DATA_TYPE *)sum.ptr)[0], epsilon)); |
| |
| vstore16(in * normalize_value, 0, (__global DATA_TYPE *)dst.ptr); |
| } |
| |
| /** This kernel performs l2 normalization on y-axis. |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| * @note The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] sum_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| * @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] sum_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] sum_step_y sum_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] sum_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] epsilon Epsilon value |
| */ |
| __kernel void l2_normalize_y( |
| IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(sum), |
| IMAGE_DECLARATION(dst), |
| DATA_TYPE epsilon) |
| { |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Image sum = CONVERT_TO_IMAGE_STRUCT(sum); |
| Image dst = CONVERT_TO_IMAGE_STRUCT(dst); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| in = vload16(0, (__global DATA_TYPE *)src.ptr); |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| sums = vload16(0, (__global DATA_TYPE *)sum.ptr); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| normalize_value = (VEC_DATA_TYPE(DATA_TYPE, 16))rsqrt(fmax(sums, epsilon)); |
| |
| vstore16(in * normalize_value, 0, (__global DATA_TYPE *)dst.ptr); |
| } |
| /** This kernel performs l2 normalization on z-axis. |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| * @note The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] sum_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| * @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] sum_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] sum_step_y sum_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] sum_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] sum_step_z sum_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] sum_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] epsilon Epsilon value |
| */ |
| __kernel void l2_normalize_z( |
| TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(sum), |
| TENSOR3D_DECLARATION(dst), |
| DATA_TYPE epsilon) |
| { |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| Tensor3D sum = CONVERT_TO_TENSOR3D_STRUCT(sum); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| in = vload16(0, (__global DATA_TYPE *)src.ptr); |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| sums = vload16(0, (__global DATA_TYPE *)sum.ptr); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| normalize_value = (VEC_DATA_TYPE(DATA_TYPE, 16))rsqrt(fmax(sums, epsilon)); |
| |
| vstore16(in * normalize_value, 0, (__global DATA_TYPE *)dst.ptr); |
| } |