| /* |
| * Copyright (c) 2016-2021 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" |
| |
| #if defined(VEC_SIZE_X) && defined(VEC_SIZE_LEFTOVER_X) |
| /** 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 Vector size should be given as a preprocessor argument using -DVEC_SIZE_X=size. e.g. -DVEC_SIZE_X=16 |
| * @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER_X is; x_dimension % VEC_SIZE_X. e.g. -DVEC_SIZE_LEFTOVER_X=1 |
| * |
| * @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] input_step_y input_stride_y * number of elements along X processed per workitem(in bytes) |
| * @param[in] input_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] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_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(input), |
| IMAGE_DECLARATION(sum), |
| IMAGE_DECLARATION(output), |
| DATA_TYPE epsilon) |
| { |
| // Offset computation |
| const uint x_offs = max((int)(get_global_id(0) * VEC_SIZE_X - (VEC_SIZE_X - VEC_SIZE_LEFTOVER_X) % VEC_SIZE_X), 0); |
| |
| // Address computation |
| __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y; |
| __global uchar *sum_addr = sum_ptr + sum_offset_first_element_in_bytes + get_global_id(1) * sum_stride_y; |
| __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * output_stride_y; |
| |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| in = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)input_addr); |
| |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| normalize_value = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X))rsqrt(fmax(*((__global DATA_TYPE *)sum_addr), epsilon)); |
| |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| data0 = in * normalize_value; |
| |
| STORE_VECTOR_SELECT(data, DATA_TYPE, output_addr, VEC_SIZE_X, VEC_SIZE_LEFTOVER_X, VEC_SIZE_LEFTOVER_X != 0 && get_global_id(0) == 0); |
| } |
| |
| /** 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 Vector size should be given as a preprocessor argument using -DVEC_SIZE_X=size. e.g. -DVEC_SIZE_X=16 |
| * @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER_X is; x_dimension % VEC_SIZE_X. e.g. -DVEC_SIZE_LEFTOVER_X=1 |
| * |
| * @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] input_step_x input_stride_x * number of elements along Y processed per workitem(in bytes) |
| * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] input_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] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_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(input), |
| IMAGE_DECLARATION(sum), |
| IMAGE_DECLARATION(output), |
| DATA_TYPE epsilon) |
| { |
| // Offset computation |
| const uint x_offs = max((int)(get_global_id(0) * VEC_SIZE_X - (VEC_SIZE_X - VEC_SIZE_LEFTOVER_X) % VEC_SIZE_X), 0); |
| |
| // Address computation |
| __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y; |
| __global uchar *sum_addr = sum_ptr + sum_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE); |
| __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * output_stride_y; |
| |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| in = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)input_addr); |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| sums = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)sum_addr); |
| |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| normalize_value = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X))rsqrt(fmax(sums, epsilon)); |
| |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| data0 = in * normalize_value; |
| |
| STORE_VECTOR_SELECT(data, DATA_TYPE, output_addr, VEC_SIZE_X, VEC_SIZE_LEFTOVER_X, VEC_SIZE_LEFTOVER_X != 0 && get_global_id(0) == 0); |
| } |
| |
| /** 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 Vector size should be given as a preprocessor argument using -DVEC_SIZE_X=size. e.g. -DVEC_SIZE_X=16 |
| * @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER_X is; x_dimension % VEC_SIZE_X. e.g. -DVEC_SIZE_LEFTOVER_X=1 |
| * |
| * @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] input_step_x input_stride_x * number of elements along Y processed per workitem(in bytes) |
| * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] input_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] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] output_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(input), |
| TENSOR3D_DECLARATION(sum), |
| TENSOR3D_DECLARATION(output), |
| DATA_TYPE epsilon) |
| { |
| // Offset computation |
| const uint x_offs = max((int)(get_global_id(0) * VEC_SIZE_X - (VEC_SIZE_X - VEC_SIZE_LEFTOVER_X) % VEC_SIZE_X), 0); |
| |
| // Address computation |
| __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y + get_global_id(2) * input_stride_z; |
| __global uchar *sum_addr = sum_ptr + sum_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * sum_stride_y; |
| __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * output_stride_y + get_global_id(2) * output_stride_z; |
| |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| in = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)input_addr); |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| sums = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)sum_addr); |
| |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) |
| data0 = in * ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X))(rsqrt(fmax(sums, epsilon)))); |
| |
| STORE_VECTOR_SELECT(data, DATA_TYPE, output_addr, VEC_SIZE_X, VEC_SIZE_LEFTOVER_X, VEC_SIZE_LEFTOVER_X != 0 && get_global_id(0) == 0); |
| } |
| #endif // defined(VEC_SIZE_X) && defined(VEC_SIZE_LEFTOVER_X) |