/* * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved * Copyright (c) 2016-2018 ARM Limited. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "helpers.h" #define SUB(x, y) (x) - (y) #if defined(OFF_IN) && defined(OFF_ALPHA) && defined(OFF_OUT) && defined(SCALE_IN) && \ defined(SCALE_ALPHA) && defined(SCALE_OUT) && defined(VEC_SIZE) #define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE) #define VEC_INT VEC_DATA_TYPE(int, VEC_SIZE) #define VEC_UCHAR VEC_DATA_TYPE(uchar, VEC_SIZE) #define CONVERT_RTE(x, type) (convert_##type##_rte((x))) #define CONVERT_DOWN(x, type) CONVERT_RTE(x, type) #define SELECT_TYPE VEC_INT /** Returns result of prelu function implemented as below: * f(input) = alpha * input for input < 0, f(input) = input for input >= 0. * * @attention Data type can be passed using the -DDATA_TYPE_IN compile flag, e.g. * -DDATA_TYPE_IN=uchar * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. * -DVEC_SIZE=16 * @note Can only take uchar data types. * * @param[in] input1_ptr Pointer to the source image. Supported Data * types : QASYMM8 * @param[in] input1_stride_x Stride of the source image in X dimension (in * bytes) * @param[in] input1_step_x input1_stride_x * number of elements along X * processed per workitem(in bytes) * @param[in] input1_stride_y Stride of the source image in Y dimension (in * bytes) * @param[in] input1_step_y input1_stride_y * number of elements along Y * processed per workitem(in bytes) * @param[in] input1_stride_z Stride of the source tensor in Z dimension (in * bytes) * @param[in] input1_step_z input1_stride_z * number of elements along Z * processed per workitem(in bytes) * @param[in] input1_offset_first_element_in_bytes The offset of the first element in the source * image * @param[in] alpha_ptr Pointer to the source image. Supported Data * types : QASYMM8 * @param[in] alpha_stride_x Stride of the source image in X dimension (in * bytes) * @param[in] alpha_step_x input2_stride_x * number of elements along X * processed per workitem(in bytes) * @param[in] alpha_stride_y Stride of the source image in Y dimension (in * bytes) * @param[in] alpha_step_y input2_stride_y * number of elements along Y * processed per workitem(in bytes) * @param[in] alpha_stride_z Stride of the source tensor in Z dimension (in * bytes) * @param[in] alpha_step_z input2_stride_z * number of elements along Z * processed per workitem(in bytes) * @param[in] alpha_offset_first_element_in_bytes The offset of the first element in the source * image * @param[out] output_ptr Pointer to the destination image. Supported * data types: same as @p input_ptr * @param[in] output_stride_x Stride of the destination image 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 image 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 source 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 image */ __kernel void prelu_qasymm8(TENSOR3D_DECLARATION(input), TENSOR3D_DECLARATION(alpha), TENSOR3D_DECLARATION(output)) { // Get pixels pointer Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); Tensor3D alpha = CONVERT_TO_TENSOR3D_STRUCT(alpha); Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); VEC_INT in_vec = CONVERT(VLOAD(VEC_SIZE)(0, (__global uchar *)input.ptr), VEC_INT); VEC_INT alpha_vec = CONVERT(VLOAD(VEC_SIZE)(0, (__global uchar *)alpha.ptr), VEC_INT); in_vec = SUB(in_vec, (VEC_INT)((int)OFF_IN)); alpha_vec = SUB(alpha_vec, (VEC_INT)((int)OFF_ALPHA)); const VEC_FLOAT inf32 = CONVERT(in_vec, VEC_FLOAT) * (VEC_FLOAT)((float)SCALE_IN); const VEC_FLOAT alphaf32 = CONVERT(alpha_vec, VEC_FLOAT) * (VEC_FLOAT)((float)SCALE_ALPHA); const VEC_FLOAT outf32 = select(inf32, inf32 * alphaf32, CONVERT(inf32 < (VEC_FLOAT)0, SELECT_TYPE)); const VEC_FLOAT qresf32 = outf32 / ((VEC_FLOAT)(float)SCALE_OUT) + ((VEC_FLOAT)((float)OFF_OUT)); const VEC_UCHAR res = CONVERT_SAT(CONVERT_DOWN(qresf32, VEC_INT), VEC_UCHAR); VSTORE(VEC_SIZE) (res, 0, (__global uchar *)output.ptr); } #endif // defined(OFF_IN) && defined(OFF_ALPHA) && defined(OFF_OUT) && defined(SCALE_IN) && // defined(SCALE_ALPHA) && defined(SCALE_OUT) && defined(VEC_SIZE)