| /* |
| * Copyright (c) 2018-2021 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(DATA_TYPE) && defined(VEC_SIZE) && defined(OFFSET) && defined(SCALE) |
| |
| #define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| #define OFFSET_FLT ((float)OFFSET) |
| #define SCALE_FLT ((float)SCALE) |
| |
| #if defined(NUM_CHANNELS) |
| |
| /** Apply normalize_planar_yuv layer on tensors with NCHW data layout. |
| * |
| * @note Data type should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float |
| * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE e.g. -DVEC_SIZE=8 |
| * @note The depth of the input tensor should be given as a preprocessor argument using -DNUM_CHANNELS e.g. -DNUM_CHANNELS=8 |
| * @note The quantization offset should be given as a preprocessor argument using -DOFFSET e.g. -DOFFSET=8 |
| * @note The quantization scale should be given as a preprocessor argument using -DSCALE e.g. -DSCALE=8 |
| * |
| * @param[in] src_ptr Pointer to the first source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED |
| * @param[in] src_stride_x Stride of the first source tensor in X dimension (in bytes) |
| * @param[in] src_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the first source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z input_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 first 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 output_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 output_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 output_stride_z * number of elements along Z 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] mean_ptr Pointer to the mean source tensor. Supported data types: same as @p src_ptr |
| * @param[in] mean_stride_x Stride of the mean source tensor in X dimension (in bytes) |
| * @param[in] mean_step_x mean_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] mean_offset_first_element_in_bytes The offset of the first element in the mean source tensor |
| * @param[in] std_ptr Pointer to the std tensor. Supported data types: same as @p src_ptr |
| * @param[in] std_stride_x Stride of the std tensor in X dimension (in bytes) |
| * @param[in] std_step_x std_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] std_offset_first_element_in_bytes The offset of the first element in the var source tensor |
| */ |
| __kernel void normalize_planar_yuv_layer_q8_nchw(TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst), |
| VECTOR_DECLARATION(mean), |
| VECTOR_DECLARATION(std)) |
| { |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| Vector mean = CONVERT_TO_VECTOR_STRUCT(mean); |
| Vector std = CONVERT_TO_VECTOR_STRUCT(std); |
| |
| const uint current_slice = get_global_id(2) % NUM_CHANNELS; |
| |
| VEC_DATA_TYPE(float, VEC_SIZE) |
| curr_mean_flt = (VEC_DATA_TYPE(float, VEC_SIZE))(*((__global DATA_TYPE *)(mean.ptr + current_slice * sizeof(DATA_TYPE)))); |
| curr_mean_flt = round(curr_mean_flt - OFFSET_FLT) * SCALE_FLT; |
| |
| VEC_DATA_TYPE(float, VEC_SIZE) |
| curr_std_flt = (VEC_DATA_TYPE(float, VEC_SIZE))(*((__global DATA_TYPE *)(std.ptr + current_slice * sizeof(DATA_TYPE)))); |
| curr_std_flt = round(curr_std_flt - OFFSET_FLT) * SCALE_FLT; |
| |
| VEC_DATA_TYPE(float, VEC_SIZE) |
| data_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)src.ptr), VEC_DATA_TYPE(float, VEC_SIZE)); |
| data_flt = round(data_flt - OFFSET_FLT) * SCALE_FLT; |
| |
| // Perform normalization |
| VEC_DATA_TYPE(float, VEC_SIZE) |
| res_flt = (data_flt - curr_mean_flt) / curr_std_flt; |
| |
| const TYPE res_u8 = CONVERT_SAT(round(res_flt / SCALE_FLT) + OFFSET_FLT, TYPE); |
| VSTORE(VEC_SIZE) |
| (res_u8, 0, (__global DATA_TYPE *)dst.ptr); |
| } |
| |
| #endif // defined(NUM_CHANNELS) |
| |
| /** Apply normalize_planar_yuv layer on tensors with NHWC data layout. |
| * |
| * @note Data type should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float |
| * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE e.g. -DVEC_SIZE=8 |
| * @note The quantization offset should be given as a preprocessor argument using -DOFFSET e.g. -DOFFSET=8 |
| * @note The quantization scale should be given as a preprocessor argument using -DSCALE e.g. -DSCALE=8 |
| * @note Leftover vector size has to be passed at compile time using -DVEC_SIZE_LEFTOVER. e.g. -DVEC_SIZE_LEFTOVER=3. It is defined as the remainder between the input's first dimension and VEC_SIZE |
| * |
| * @param[in] src_ptr Pointer to the first source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED |
| * @param[in] src_stride_x Stride of the first source tensor in X dimension (in bytes) |
| * @param[in] src_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the first source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z input_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 first 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 output_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 output_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 output_stride_z * number of elements along Z 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] mean_ptr Pointer to the mean source tensor. Supported data types: same as @p src_ptr |
| * @param[in] mean_stride_x Stride of the mean source tensor in X dimension (in bytes) |
| * @param[in] mean_step_x mean_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] mean_offset_first_element_in_bytes The offset of the first element in the mean source tensor |
| * @param[in] std_ptr Pointer to the std tensor. Supported data types: same as @p src_ptr |
| * @param[in] std_stride_x Stride of the std tensor in X dimension (in bytes) |
| * @param[in] std_step_x std_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] std_offset_first_element_in_bytes The offset of the first element in the var source tensor |
| */ |
| __kernel void normalize_planar_yuv_layer_q8_nhwc(TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst), |
| VECTOR_DECLARATION(mean), |
| VECTOR_DECLARATION(std)) |
| { |
| uint x_offs = max((int)(get_global_id(0) * VEC_SIZE * sizeof(DATA_TYPE) - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE * sizeof(DATA_TYPE)), 0); |
| |
| __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x_offs + get_global_id(1) * src_stride_y + get_global_id(2) * src_stride_z; |
| __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_offs + get_global_id(1) * dst_stride_y + get_global_id(2) * dst_stride_z; |
| __global uchar *mean_addr = mean_ptr + mean_offset_first_element_in_bytes + x_offs; |
| __global uchar *std_addr = std_ptr + std_offset_first_element_in_bytes + x_offs; |
| |
| VEC_DATA_TYPE(float, VEC_SIZE) |
| curr_mean_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)mean_addr), VEC_DATA_TYPE(float, VEC_SIZE)); |
| curr_mean_flt = round(curr_mean_flt - OFFSET_FLT) * SCALE_FLT; |
| |
| VEC_DATA_TYPE(float, VEC_SIZE) |
| curr_std_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)std_addr), VEC_DATA_TYPE(float, VEC_SIZE)); |
| curr_std_flt = round(curr_std_flt - OFFSET_FLT) * SCALE_FLT; |
| |
| VEC_DATA_TYPE(float, VEC_SIZE) |
| data_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)src_addr), VEC_DATA_TYPE(float, VEC_SIZE)); |
| data_flt = round(data_flt - OFFSET_FLT) * (SCALE_FLT); |
| |
| // Perform normalization |
| VEC_DATA_TYPE(float, VEC_SIZE) |
| res_flt = (data_flt - curr_mean_flt) / curr_std_flt; |
| |
| const TYPE res0 = CONVERT_SAT(round(res_flt / SCALE_FLT) + OFFSET_FLT, TYPE); |
| STORE_VECTOR_SELECT(res, DATA_TYPE, dst_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); |
| } |
| #endif // defined(DATA_TYPE) && defined(VEC_SIZE) && defined(OFFSET) && defined(SCALE) |