| /* |
| * Copyright (c) 2017 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" |
| |
| #ifdef FIXED_POINT_POSITION |
| |
| #include "fixed_point.h" |
| #define MAX_OP(x, y, type, size) MAX_OP_EXPAND(x, y, type, size) |
| #define ADD_OP(x, y, type, size) ADD_SAT_OP_EXPAND((x), (y), type, size) |
| #define SUB_OP(x, y, type, size) SUB_SAT_OP_EXPAND((x), (y), type, size) |
| #define DIV_OP(x, y, type, size) DIV_SAT_OP_VEC_EXPAND((x), (y), type, size, FIXED_POINT_POSITION) |
| #define EXP_OP(x, type, size) EXP_OP_EXPAND((x), type, size, FIXED_POINT_POSITION) |
| |
| #define MIN_VAL_EXPAND(type) type##_MIN |
| #define MIN_VAL(type) MIN_VAL_EXPAND(type) |
| #define MINVAL MIN_VAL(DATA_TYPE) |
| #define SELECT_DATA_TYPE EXPAND(DATA_TYPE) |
| |
| #else /* FIXED_POINT_POSITION */ |
| |
| #define MAX_OP(x, y, type, size) max((x), (y)) |
| #define ADD_OP(x, y, type, size) ((x) + (y)) |
| #define SUB_OP(x, y, type, size) ((x) - (y)) |
| #define DIV_OP(x, y, type, size) ((x) / (y)) |
| #define EXP_OP(x, type, size) exp((x)) |
| |
| #ifdef USE_F16 |
| #define MINVAL -HALF_MAX |
| #define SELECT_DATA_TYPE short |
| #else /* USE_F16 */ |
| #define MINVAL -FLT_MAX |
| #define SELECT_DATA_TYPE int |
| #endif /* USE_F16 */ |
| |
| #endif /* FIXED_POINT_POSITION */ |
| |
| __constant VEC_DATA_TYPE(DATA_TYPE, 16) type_min = (VEC_DATA_TYPE(DATA_TYPE, 16))(MINVAL); |
| __constant uint16 idx16 = (uint16)(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15); |
| |
| /** Identifies the maximum value across the 1st dimension. |
| * |
| * @note Datatype must be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * @note Fixed point position must be given as a preprocessor argument using -DFIXED_POINT_POSITION=pos. e.g. DFIXED_POINT_POSITION=4 |
| * @note In case the input is not multiple of 16 -DNON_MULTIPLE_OF_16 must be passed. |
| * |
| * @param[in] src_ptr Pointer to the source tensor slice. Supported data types: QS8/QS16/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 Y 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[out] dst_ptr Pointer to the destination tensor slice. 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 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] width Input image width |
| */ |
| __kernel void softmax_layer_max( |
| TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst), |
| uint width) |
| { |
| Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
| |
| // Initialize local maximum |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| max_val = (VEC_DATA_TYPE(DATA_TYPE, 16))type_min; |
| |
| // Calculate max of row |
| const uint width4 = width >> 4; |
| for(uint i = 0; i < width4; i++) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| data = vload16(0, (__global DATA_TYPE *)offset(&src, i << 4, 0)); |
| max_val = MAX_OP(data, max_val, DATA_TYPE, 16); |
| } |
| |
| #ifdef NON_MULTIPLE_OF_16 |
| // Handle non multiple of 16 |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| data = vload16(0, (__global DATA_TYPE *)offset(&src, width4 << 4, 0)); |
| VEC_DATA_TYPE(SELECT_DATA_TYPE, 16) |
| widx = CONVERT(((uint16)(width4 << 4) + idx16) < width, VEC_DATA_TYPE(SELECT_DATA_TYPE, 16)); |
| max_val = MAX_OP(max_val, select(type_min, data, widx), DATA_TYPE, 16); |
| #endif /* NON_MULTIPLE_OF_16 */ |
| |
| // Perform max reduction |
| max_val.s01234567 = MAX_OP(max_val.s01234567, max_val.s89ABCDEF, DATA_TYPE, 8); |
| max_val.s0123 = MAX_OP(max_val.s0123, max_val.s4567, DATA_TYPE, 4); |
| max_val.s01 = MAX_OP(max_val.s01, max_val.s23, DATA_TYPE, 2); |
| max_val.s0 = MAX_OP(max_val.s0, max_val.s1, DATA_TYPE, 1); |
| |
| // Store result |
| *((__global DATA_TYPE *)dst.ptr) = max_val.s0; |
| } |
| |
| /** Shifts the values of the input tensor by the max calculated in softmax_layer_max kernel, |
| * then gets the exponent of each element as sums all elements across each row. |
| * |
| * @note Datatype must be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * @note Fixed point position must be given as a preprocessor argument using -DFIXED_POINT_POSITION=pos. e.g. DFIXED_POINT_POSITION=4 |
| * @note In case the input is not multiple of 16 -DNON_MULTIPLE_OF_16 must be passed. |
| * |
| * @param[in] src_ptr Pointer to the source tensor slice. Supported data types: QS8/QS16/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 Y 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] max_ptr Pointer to the max values tensor slice. Supported data types: same as @p src_ptr |
| * @param[in] max_stride_x Stride of the max values tensor in X dimension (in bytes) |
| * @param[in] max_step_x max_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] max_stride_y Stride of the max values tensor in Y dimension (in bytes) |
| * @param[in] max_step_y max_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] max_stride_z Stride of the max values tensor in Z dimension (in bytes) |
| * @param[in] max_step_z max_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] max_offset_first_element_in_bytes The offset of the first element in the max values tensor |
| * @param[out] dst_ptr Pointer to the destination tensor slice. 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 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[out] sum_ptr Pointer to the sum values tensor slice. Supported data types: same as @p src_ptr |
| * @param[in] sum_stride_x Stride of the sum values 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 sum values tensor in Y dimension (in bytes) |
| * @param[in] sum_step_y sum_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] sum_stride_z Stride of the sum values 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 sum values tensor |
| * @param[in] width Input image width |
| */ |
| __kernel void softmax_layer_shift_exp_sum( |
| TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(max), |
| TENSOR3D_DECLARATION(dst), |
| TENSOR3D_DECLARATION(sum), |
| uint width) |
| { |
| Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
| Image max = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(max); |
| Image sum = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(sum); |
| |
| // Load max value of 1D logits vector (row) |
| DATA_TYPE max_val = *((__global DATA_TYPE *)offset(&max, 0, 0)); |
| |
| // Set sum vector |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| sum1D = 0; |
| |
| // Shift values, exp and sum |
| const uint width4 = width >> 4; |
| for(uint i = 0; i < width4; i++) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| data = vload16(0, (__global DATA_TYPE *)offset(&src, i << 4, 0)); |
| data = SUB_OP(data, max_val, DATA_TYPE, 16); |
| data = EXP_OP(data, DATA_TYPE, 16); |
| vstore16(data, 0, (__global DATA_TYPE *)offset(&dst, i << 4, 0)); |
| sum1D = ADD_OP(sum1D, data, DATA_TYPE, 16); |
| } |
| |
| #ifdef NON_MULTIPLE_OF_16 |
| // Handle non multiple of 16 |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| data = vload16(0, (__global DATA_TYPE *)offset(&src, width4 << 4, 0)); |
| data = SUB_OP(data, max_val, DATA_TYPE, 16); |
| data = EXP_OP(data, DATA_TYPE, 16); |
| VEC_DATA_TYPE(SELECT_DATA_TYPE, 16) |
| widx = CONVERT(((uint16)(width4 << 4) + idx16) < width, VEC_DATA_TYPE(SELECT_DATA_TYPE, 16)); |
| data = select(0, data, widx); |
| vstore16(data, 0, (__global DATA_TYPE *)offset(&dst, width4 << 4, 0)); |
| sum1D = ADD_OP(sum1D, data, DATA_TYPE, 16); |
| #endif /* NON_MULTIPLE_OF_16 */ |
| |
| // Perform min/max reduction |
| sum1D.s01234567 = ADD_OP(sum1D.s01234567, sum1D.s89ABCDEF, DATA_TYPE, 8); |
| sum1D.s0123 = ADD_OP(sum1D.s0123, sum1D.s4567, DATA_TYPE, 4); |
| sum1D.s01 = ADD_OP(sum1D.s01, sum1D.s23, DATA_TYPE, 2); |
| sum1D.s0 = ADD_OP(sum1D.s0, sum1D.s1, DATA_TYPE, 1); |
| |
| // Calculate and store result |
| *((__global DATA_TYPE *)sum.ptr) = sum1D.s0; |
| } |
| |
| /** Divides all the values of the input tensor by the sum calculated from softmax_layer_shift_exp_sum kernel. |
| * |
| * @note Datatype must be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * @note Fixed point position must be given as a preprocessor argument using -DFIXED_POINT_POSITION=pos. e.g. DFIXED_POINT_POSITION=4 |
| * |
| * @param[in] src_ptr Pointer to the source tensor slice. Supported data types: QS8/QS16/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 Y 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 sum values tensor slice. Supported data types: same as @p src_ptr |
| * @param[in] sum_stride_x Stride of the sum values 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 sum values 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 sum values 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 sum values tensor |
| * @param[out] dst_ptr Pointer to the destination tensor slice. 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 Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| */ |
| __kernel void softmax_layer_norm( |
| TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(sum), |
| TENSOR3D_DECLARATION(dst)) |
| { |
| Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
| Image sum = CONVERT_TENSOR3D_TO_IMAGE_STRUCT_NO_STEP(sum); |
| |
| // Load max value of 1D logits vector (row) |
| DATA_TYPE sum_val = *((__global DATA_TYPE *)offset(&sum, 0, get_global_id(1))); |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| data = vload16(0, (__global DATA_TYPE *)offset(&src, 0, 0)); |
| vstore16(DIV_OP(data, sum_val, DATA_TYPE, 16), 0, (__global DATA_TYPE *)offset(&dst, 0, 0)); |
| } |
