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Diffstat (limited to 'src/core/CL/cl_kernels/common/reduction_operation.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/common/reduction_operation.cl | 471 |
1 files changed, 471 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/common/reduction_operation.cl b/src/core/CL/cl_kernels/common/reduction_operation.cl new file mode 100644 index 0000000000..99369be19a --- /dev/null +++ b/src/core/CL/cl_kernels/common/reduction_operation.cl @@ -0,0 +1,471 @@ +/* + * Copyright (c) 2016-2021, 2023 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" +#include "helpers_asymm.h" + +#if defined(FLOAT_DATA_TYPE) +#define ISGREATER(x, y) (SELECT_VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE))(isgreater(x, y)) +#define ISLESS(x, y) (SELECT_VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE))(isless(x, y)) +#define ISGREATER_SCALAR(x, y) (SELECT_DATA_TYPE(DATA_TYPE_PROMOTED))(isgreater(x, y)) +#define ISLESS_SCALAR(x, y) (SELECT_DATA_TYPE(DATA_TYPE_PROMOTED))(isless(x, y)) +#else // !FLOAT_DATA_TYPE +#if defined(WIDTH) +#define ISGREATER(x, y) (x > y) ? 1 : 0 +#define ISLESS(x, y) (x < y) ? 1 : 0 +#define ISGREATER_SCALAR ISGREATER +#define ISLESS_SCALAR ISLESS +#else // !defined(WIDTH) +#define ISGREATER(x, y) select((VEC_DATA_TYPE(int, VEC_SIZE))0, (VEC_DATA_TYPE(int, VEC_SIZE)) - 1, x > y) +#define ISLESS(x, y) select((VEC_DATA_TYPE(int, VEC_SIZE))0, (VEC_DATA_TYPE(int, VEC_SIZE)) - 1, x < y) +#endif // defined(WIDTH) +#endif // defined(FLOAT_DATA_TYPE) + +#if defined(WIDTH) +#if defined(OPERATION) + +#define sum(in0, in1, size) (in0 + SUM_REDUCE(in1, size)) +#define square_sum(in0, in1, size) (in0 + SUM_REDUCE((in1 * in1), size)) +#define product(in0, in1, size) (in0 * PROD_REDUCE(in1, size)) +#define min_(in0, in1, size) (min(in0, MIN_REDUCE(in1, size))) +#define max_(in0, in1, size) (max(in0, MAX_REDUCE(in1, size))) + +/** This kernel performs parallel reduction given an operation on x-axis. + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note The operation we want to perform must be passed at compile time using -DOPERATION e.g. -DOPERATION=square_sum + * @note The mean flag must be passed at compile time using -DMEAN if we want to compute the mean value + * @note The product flag must be passed at compile time using -DPROD if we want to compute the product, otherwise sum will be used + * @note The width size must be passed at compile time using -DWIDTH e.g. -DWIDTH=128 if we want to compute the mean value + * + * @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 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] output_ptr Pointer to the destination tensor. Supported data types: same as @p input + * @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 + */ +__kernel void reduction_operation_x( + TENSOR3D_DECLARATION(input), + TENSOR3D_DECLARATION(output)) +{ + int y = get_global_id(1); + int z = get_global_id(2); + + __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + y * input_stride_y + z * input_stride_z; + __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + y * output_stride_y + z * output_stride_z; + +#if !defined(MIN) && !defined(MAX) +#if defined(PROD) + DATA_TYPE res = (DATA_TYPE)1; +#else // defined(PROD) + DATA_TYPE res = (DATA_TYPE)0; +#endif // defined(PROD) +#else // #if !defined(MIN) && !defined(MAX) + DATA_TYPE res = *((__global DATA_TYPE *)input_addr); +#endif // #if defined(MIN) || defined(MAX) + int x = 0; + + for(; x <= (WIDTH - VEC_SIZE); x += VEC_SIZE) + { + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + vals = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + x * sizeof(DATA_TYPE))); + res = OPERATION(res, vals, VEC_SIZE); + } + +#if(WIDTH % VEC_SIZE) + _Pragma("unroll") for(; x < WIDTH; ++x) + { + DATA_TYPE val = *((__global DATA_TYPE *)(input_addr + x * sizeof(DATA_TYPE))); + res = OPERATION(res, val, 1); + } +#endif // (WIDTH % VEC_SIZE) + +#if defined(MEAN) + res /= WIDTH; +#endif // defined(MEAN) + *((__global DATA_TYPE *)output_addr) = res; +} +#endif // defined(OPERATION) +/** This kernel performs reduction on x-axis. (Non parallel) + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note The width size must be passed at compile time using -DWIDTH e.g. -DWIDTH=128 + * @note The product flag must be passed at compile time using -DPROD if we want to compute the product, otherwise sum will be used + * + * @param[in] input_ptr Pointer to the source tensor. Supported data types: S32/F16/F32 and QASYMM8/QASYMM8_SIGNED for operation MEAN + * @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_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p input_ptr + * @param[in] output_stride_x Stride of the output 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_offset_first_element_in_bytes The offset of the first element in the source tensor + */ +__kernel void reduction_operation_non_parallel_x( + VECTOR_DECLARATION(input), + VECTOR_DECLARATION(output)) +{ + Vector input = CONVERT_TO_VECTOR_STRUCT(input); + Vector output = CONVERT_TO_VECTOR_STRUCT(output); + + DATA_TYPE_PROMOTED res = CONVERT(*((__global DATA_TYPE *)vector_offset(&input, 0)), DATA_TYPE_PROMOTED); + + // Convert input into F32 in order to perform quantized multiplication +#if defined(PROD) && defined(OFFSET) && defined(SCALE) + float res_f = DEQUANTIZE(res, OFFSET, SCALE, DATA_TYPE_PROMOTED, 1); +#endif // defined(PROD) && defined(OFFSET) && defined(SCALE) + + for(unsigned int x = 1; x < WIDTH; ++x) + { + DATA_TYPE_PROMOTED in = CONVERT(*((__global DATA_TYPE *)vector_offset(&input, x)), DATA_TYPE_PROMOTED); +#if defined(MIN) + res = select(res, in, ISLESS_SCALAR(in, res)); +#elif defined(MAX) + res = select(res, in, ISGREATER_SCALAR(in, res)); +#elif defined(PROD) +#if defined(OFFSET) && defined(SCALE) + res_f *= DEQUANTIZE(in, OFFSET, SCALE, DATA_TYPE_PROMOTED, 1); +#else // !(defined(OFFSET) && defined(SCALE)) + res *= in; +#endif // defined(OFFSET) && defined(SCALE) +#else // defined(SUM)) + res += in; +#endif // defined(MAX) || defined(MIN) || defined(PROD) + } + + // Store result +#if defined(MEAN) + res /= WIDTH; +#endif // defined(MEAN) + + // Subtract the offsets in case of quantized SUM +#if defined(SUM) && defined(OFFSET) && defined(SCALE) + res -= (WIDTH - 1) * OFFSET; +#endif // defined(OFFSET) && defined(OFFSET) && defined(SCALE) + + // Re-quantize +#if defined(PROD) && defined(OFFSET) && defined(SCALE) + res = QUANTIZE(res_f, OFFSET, SCALE, DATA_TYPE_PROMOTED, 1); +#endif // defined(PROD) && defined(OFFSET) && defined(SCALE) + + *((__global DATA_TYPE *)output.ptr) = CONVERT_SAT(res, DATA_TYPE); +} +#endif // defined(WIDTH) + +#if defined(HEIGHT) +/** This kernel performs reduction on y-axis. + * + * @note The input data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note The height size must be passed at compile time using -DHEIGHT e.g. -DHEIGHT=128 + * + * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 + * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p input_ptr + * @param[in] output_stride_z Stride of the output tensor in Z dimension (in bytes) + * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor + */ +__kernel void reduction_operation_y( + __global uchar *input_ptr, + uint input_stride_y, + uint input_stride_z, + uint input_offset_first_element_in_bytes, + + __global uchar *output_ptr, + uint output_stride_z, + uint output_offset_first_element_in_bytes) +{ + int x = max((int)(get_global_id(0) * VEC_SIZE - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE), 0); + int z = get_global_id(1); + + __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + z * input_stride_z; + __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + z * output_stride_z; + + VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE) + res = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_addr), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE)); + + // Convert input into F32 in order to perform quantized multiplication +#if defined(PROD) && defined(OFFSET) && defined(SCALE) + VEC_DATA_TYPE(float, VEC_SIZE) + res_f = DEQUANTIZE(res, OFFSET, SCALE, DATA_TYPE_PROMOTED, VEC_SIZE); +#endif // defined(PROD) && defined(OFFSET) && defined(SCALE) + +#if defined(SUM_SQUARE) + res *= res; +#endif // defined(SUM_SQUARE) + + for(unsigned int y = 1; y < HEIGHT; ++y) + { + VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE) + in = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + y * input_stride_y)), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE)); +#if defined(MIN) + res = select(res, in, ISLESS(in, res)); +#elif defined(MAX) + res = select(res, in, ISGREATER(in, res)); +#else // !(defined(MAX) || defined(MIN)) +#if defined(SUM_SQUARE) + in *= in; +#endif // defined(SUM_SQUARE) +#if defined(PROD) + +#if defined(OFFSET) && defined(SCALE) + res_f *= DEQUANTIZE(in, OFFSET, SCALE, DATA_TYPE_PROMOTED, VEC_SIZE); +#else // !(defined(OFFSET) && defined(SCALE)) + res *= in; +#endif // defined(OFFSET) && defined(SCALE) + +#else // !defined(PROD) + res += in; +#endif // defined(PROD) +#endif // defined(MAX) || defined(MIN) + } + +#if defined(MEAN) + res /= HEIGHT; +#endif // defined(MEAN) + + // Subtract the offsets in case of quantized SUM +#if defined(SUM) && defined(OFFSET) && defined(SCALE) + res -= (HEIGHT - 1) * OFFSET; +#endif // defined(OFFSET) && defined(OFFSET) && defined(SCALE) + + // Re-quantize +#if defined(PROD) && defined(OFFSET) && defined(SCALE) + res = QUANTIZE(res_f, OFFSET, SCALE, DATA_TYPE_PROMOTED, VEC_SIZE); +#endif // defined(PROD) && defined(OFFSET) && defined(SCALE) + + // Store result + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + res0 = CONVERT_SAT(res, VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)); + STORE_VECTOR_SELECT(res, DATA_TYPE, output_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); +} +#endif // defined(HEIGHT) + +#if defined(DEPTH) +/** This kernel performs reduction on z-axis. + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note The depth size must be passed at compile time using -DDEPTH e.g. -DDEPTH=128 + * + * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 + * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p input_ptr + * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) + * @param[in] output_stride_w Stride of the output tensor in W dimension (in bytes) + * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor + */ +__kernel void reduction_operation_z( + __global uchar *input_ptr, + uint input_stride_y, + uint input_stride_z, + uint input_stride_w, + uint input_offset_first_element_in_bytes, + + __global uchar *output_ptr, + uint output_stride_y, + uint output_stride_w, + uint output_offset_first_element_in_bytes) +{ + int x = max((int)(get_global_id(0) * VEC_SIZE - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE), 0); + int y = get_global_id(1); + int w = get_global_id(2); + + __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + y * input_stride_y + w * input_stride_w; + __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + y * output_stride_y + w * output_stride_w; + + VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE) + res = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_addr), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE)); + + // Convert input into F32 in order to perform quantized multiplication +#if defined(PROD) && defined(OFFSET) && defined(SCALE) + VEC_DATA_TYPE(float, VEC_SIZE) + res_f = DEQUANTIZE(res, OFFSET, SCALE, DATA_TYPE_PROMOTED, VEC_SIZE); +#endif // defined(PROD) && defined(OFFSET) && defined(SCALE) + +#if defined(SUM_SQUARE) + res *= res; +#endif // defined(SUM_SQUARE) + + for(unsigned int z = 1; z < DEPTH; ++z) + { + VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE) + in = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + z * input_stride_z)), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE)); + +#if defined(MIN) + res = select(res, in, ISLESS(in, res)); +#elif defined(MAX) + res = select(res, in, ISGREATER(in, res)); +#else // !(defined(MAX) || defined(MIN)) +#if defined(SUM_SQUARE) + in *= in; +#endif // defined(SUM_SQUARE) +#if defined(PROD) + +#if defined(OFFSET) && defined(SCALE) + res_f *= DEQUANTIZE(in, OFFSET, SCALE, DATA_TYPE_PROMOTED, VEC_SIZE); +#else // !(defined(OFFSET) && defined(SCALE)) + res *= in; +#endif // defined(OFFSET) && defined(SCALE) + +#else // !defined(PROD) + res += in; +#endif // defined(PROD) +#endif // defined(MAX) || defined(MIN) + } + +#if defined(MEAN) + res /= DEPTH; +#endif // defined(MEAN) + + // Subtract the offsets in case of quantized SUM +#if defined(SUM) && defined(OFFSET) && defined(SCALE) + res -= (DEPTH - 1) * OFFSET; +#endif // defined(OFFSET) && defined(OFFSET) && defined(SCALE) + + // Re-quantize +#if defined(PROD) && defined(OFFSET) && defined(SCALE) + res = QUANTIZE(res_f, OFFSET, SCALE, DATA_TYPE_PROMOTED, VEC_SIZE); +#endif // defined(PROD) && defined(OFFSET) && defined(SCALE) + + // Store result + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + res0 = CONVERT_SAT(res, VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)); + + STORE_VECTOR_SELECT(res, DATA_TYPE, output_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); +} +#endif /* defined(DEPTH) */ + +#if defined(BATCH) && defined(DEPTH) +/** This kernel performs reduction on w-axis. + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note The batch size must be passed at compile time using -DBATCH e.g. -DBATCH=128 + * @note The depth size must be passed at compile time using -DDEPTH e.g. -DDEPTH=128 + * + * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 + * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] input_stride_v Stride of the source tensor in V dimension (in bytes) + * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p input_ptr + * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) + * @param[in] output_stride_z Stride of the output tensor in Z dimension (in bytes) + * @param[in] output_stride_v Stride of the output tensor in V dimension (in bytes) + * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor + */ +__kernel void reduction_operation_w( + __global uchar *input_ptr, + uint input_stride_y, + uint input_stride_z, + uint input_stride_w, + uint input_stride_v, + uint input_offset_first_element_in_bytes, + + __global uchar *output_ptr, + uint output_stride_y, + uint output_stride_z, + uint output_stride_v, + uint output_offset_first_element_in_bytes) +{ + int x = max((int)(get_global_id(0) * VEC_SIZE - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE), 0); + int y = get_global_id(1); + + int gid_2 = get_global_id(2); + int z = get_global_id(2) % DEPTH; + int v = get_global_id(2) / DEPTH; + + __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + y * input_stride_y + z * input_stride_z + v * input_stride_v; + __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + y * output_stride_y + z * output_stride_z + v * output_stride_v; + + VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE) + res = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_addr), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE)); + + // Convert input into F32 in order to perform quantized multiplication +#if defined(PROD) && defined(OFFSET) && defined(SCALE) + VEC_DATA_TYPE(float, VEC_SIZE) + res_f = DEQUANTIZE(res, OFFSET, SCALE, DATA_TYPE_PROMOTED, VEC_SIZE); +#endif // defined(PROD) && defined(OFFSET) && defined(SCALE) + +#if defined(SUM_SQUARE) + res *= res; +#endif // defined(SUM_SQUARE) + + for(unsigned int w = 1; w < BATCH; ++w) + { + VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE) + in = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + w * input_stride_w)), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, VEC_SIZE)); + +#if defined(MIN) + res = select(res, in, ISLESS(in, res)); +#elif defined(MAX) + res = select(res, in, ISGREATER(in, res)); +#else // !(defined(MAX) || defined(MIN)) +#if defined(SUM_SQUARE) + in *= in; +#endif // defined(SUM_SQUARE) +#if defined(PROD) + +#if defined(OFFSET) && defined(SCALE) + res_f *= DEQUANTIZE(in, OFFSET, SCALE, DATA_TYPE_PROMOTED, VEC_SIZE); +#else // !(defined(OFFSET) && defined(SCALE)) + res *= in; +#endif // defined(OFFSET) && defined(SCALE) + +#else // !defined(PROD) + res += in; +#endif //defined(PROD) +#endif // defined(MAX) || defined(MIN) + } + +#if defined(MEAN) + res /= BATCH; +#endif // defined(MEAN) + + // Subtract the offsets in case of quantized SUM +#if defined(SUM) && defined(OFFSET) && defined(SCALE) + res -= (BATCH - 1) * OFFSET; +#endif // defined(OFFSET) && defined(OFFSET) && defined(SCALE) + + // Re-quantize +#if defined(PROD) && defined(OFFSET) && defined(SCALE) + res = QUANTIZE(res_f, OFFSET, SCALE, DATA_TYPE_PROMOTED, VEC_SIZE); +#endif // defined(PROD) && defined(OFFSET) && defined(SCALE) + + // Store result + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + res0 = CONVERT_SAT(res, VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)); + STORE_VECTOR_SELECT(res, DATA_TYPE, output_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); +} +#endif /* defined(BATCH) && defined(DEPTH) */ |