| /* |
| * Copyright (c) 2017-2021 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" |
| #include "tile_helpers.h" |
| |
| #define MUL_OP(x, y) ((x) * (y)) |
| #define ADD_OP(x, y) ((x) + (y)) |
| #define DIV_OP(x, y) ((x) / (y)) |
| #define POW_OP(x, y) pow((x), (y)) |
| #define SQCVT_SAT(a) (a) |
| |
| #if defined(NUM_SLICES) |
| /** Apply cross-map normalization. |
| * |
| * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size, e.g. -DVEC_SIZE=16 |
| * @note The radius should be given as a preprocessor argument using -DRADIUS=size. e.g. -DRADIUS=5 |
| * @note The number of slices should be given as a preprocessor argument using -DNUM_SLICES=size. e.g. -DNUM_SLICES=192 |
| * @note Scaling coefficient (= alpha/norm_size), beta and kappa need to be passed at compile time using -DCOEFF, -DALPHA and -DKAPPA |
| * |
| * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 |
| * @param[in] input_stride_x Stride of the first 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 first 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 first 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 first 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 |
| */ |
| __kernel void normalization_layer_cross_map_nchw(TENSOR3D_DECLARATION(input), |
| TENSOR3D_DECLARATION(output)) |
| { |
| Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); |
| Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
| |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| acc = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))0; |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| coeff_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(COEFF); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| beta_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(BETA); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| kappa_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(KAPPA); |
| |
| const int current_slice = get_global_id(2); |
| const int left_slice = max(-(int)RADIUS, -current_slice); |
| const int right_slice = min((int)RADIUS, (int)NUM_SLICES - 1 - current_slice); |
| |
| for(int i = left_slice; i <= right_slice; i++) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| values = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&in, 0, 0, i)); |
| acc = ADD_OP(acc, MUL_OP(values, values)); |
| } |
| |
| acc = ADD_OP(MUL_OP(acc, coeff_v), kappa_v); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| normalized = POW_OP(acc, beta_v); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| normalized_pixel = DIV_OP(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in.ptr), normalized); |
| |
| VSTORE(VEC_SIZE) |
| (normalized_pixel, 0, (__global DATA_TYPE *)out.ptr); |
| } |
| #endif /* defined(NUM_SLICES) */ |
| |
| #if defined(WIDTH_SIZE) |
| /** Apply cross-map normalization. |
| * |
| * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size, e.g. -DVEC_SIZE=16 |
| * @note The radius should be given as a preprocessor argument using -DRADIUS=size. e.g. -DRADIUS=5 |
| * @note The number of slices should be given as a preprocessor argument using -DNUM_SLICES=size. e.g. -DNUM_SLICES=192 |
| * @note Scaling coefficient (= alpha/norm_size), beta and kappa need to be passed at compile time using -DCOEFF, -DALPHA and -DKAPPA |
| * |
| * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 |
| * @param[in] input_stride_x Stride of the first 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 first 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 first 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 first 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 |
| */ |
| __kernel void normalization_layer_cross_map_nhwc(TENSOR3D_DECLARATION(input), |
| TENSOR3D_DECLARATION(output)) |
| { |
| // Offset computation |
| const uint x_offs = GET_SPATIAL_IDX(0, VEC_SIZE, VEC_SIZE_LEFTOVER); |
| |
| // Address computation |
| __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + get_global_id(1) * input_stride_y + get_global_id(2) * input_stride_z; |
| __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) |
| acc = 0; |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| coeff_v = SQCVT_SAT(COEFF); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| beta_v = SQCVT_SAT(BETA); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| kappa_v = SQCVT_SAT(KAPPA); |
| |
| const int left_slice = max((int)0, (int)x_offs - (int)RADIUS); |
| const int right_slice = min((int)WIDTH_SIZE - 1, (int)x_offs + (int)RADIUS); |
| |
| for(int i = left_slice; i <= right_slice; ++i) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| values = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + i * sizeof(DATA_TYPE))); |
| acc = ADD_OP(acc, MUL_OP(values, values)); |
| } |
| |
| acc = ADD_OP(MUL_OP(acc, coeff_v), kappa_v); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| normalized = POW_OP(acc, beta_v); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| normalized_pixel0 = DIV_OP(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + x_offs * sizeof(DATA_TYPE))), normalized); |
| |
| STORE_VECTOR_SELECT(normalized_pixel, DATA_TYPE, output_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); |
| } |
| |
| /** Apply in-map normalization when tensors are in the NCHW data layout format. |
| * |
| * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size, e.g. -DVEC_SIZE=16 |
| * @note The radius should be given as a preprocessor argument using -DRADIUS=size. e.g. -DRADIUS=5 |
| * @note Scaling coefficient (= alpha/norm_size), beta and kappa need to be passed at compile time using -DCOEFF, -DALPHA and -DKAPPA |
| * @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER is; x_dimension % VEC_SIZE. e.g. -DVEC_SIZE_LEFTOVER=1 |
| * |
| * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 |
| * @param[in] input_stride_x Stride of the first 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 first 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 first 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 first 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 first 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 first 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 tensor |
| */ |
| __kernel void normalization_layer_in_map_nchw(TENSOR3D_DECLARATION(input), |
| TENSOR3D_DECLARATION(output)) |
| { |
| Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); |
| Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
| |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| acc = 0; |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| coeff_v = SQCVT_SAT(COEFF); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| beta_v = SQCVT_SAT(BETA); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| kappa_v = SQCVT_SAT(KAPPA); |
| |
| const int current_col = get_global_id(0) << 2; |
| const int left_pos = max(-(int)RADIUS, -3 - current_col); |
| const int right_pos = min((int)RADIUS, (int)WIDTH_SIZE - 1 - current_col); |
| |
| #if defined(IN_MAP_2D) |
| const int current_row = get_global_id(1); |
| const int first_row = max(-(int)RADIUS, -current_row); |
| const int last_row = min((int)RADIUS, (int)get_global_size(1) - 1 - current_row); |
| #endif /* defined(IN_MAP_2D) */ |
| |
| #if defined(IN_MAP_2D) |
| for(int j = first_row; j <= last_row; ++j) |
| { |
| #endif /* defined(IN_MAP_2D) */ |
| for(int i = left_pos; i <= right_pos; ++i) |
| { |
| #if defined(IN_MAP_2D) |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| values = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&in, i, j, 0)); |
| #else /* defined(IN_MAP_2D) */ |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| values = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&in, i, 0, 0)); |
| #endif /* defined(IN_MAP_2D) */ |
| acc = ADD_OP(acc, MUL_OP(values, values)); |
| } |
| #if defined(IN_MAP_2D) |
| } |
| #endif /* defined(IN_MAP_2D) */ |
| |
| acc = ADD_OP(MUL_OP(acc, coeff_v), kappa_v); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| normalized = POW_OP(acc, beta_v); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| normalized_pixel = DIV_OP(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in.ptr), normalized); |
| |
| VSTORE(VEC_SIZE) |
| (normalized_pixel, 0, (__global DATA_TYPE *)out.ptr); |
| } |
| #endif // defined(WIDTH_SIZE) |
| |
| #if defined(NUM_SLICES) && defined(DIM1_SIZE) |
| /** Apply in-map normalization when tensors are in the NHWC data layout format. |
| * |
| * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size, e.g. -DVEC_SIZE=16 |
| * @note The radius should be given as a preprocessor argument using -DRADIUS=size. e.g. -DRADIUS=5 |
| * @note The number of slices should be given as a preprocessor argument using -DNUM_SLICES=size. e.g. -DNUM_SLICES=192 |
| * @note Scaling coefficient (= alpha/norm_size), beta and kappa need to be passed at compile time using -DCOEFF, -DALPHA and -DKAPPA |
| * |
| * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 |
| * @param[in] input_stride_x Stride of the first 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 first 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 first 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 first 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 first 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 first 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 tensor |
| */ |
| __kernel void normalization_layer_in_map_nhwc(TENSOR3D_DECLARATION(input), |
| TENSOR3D_DECLARATION(output)) |
| { |
| // Offset computation |
| const uint x_offs = GET_SPATIAL_IDX(0, VEC_SIZE, VEC_SIZE_LEFTOVER); |
| const int current_cols = get_global_id(1); |
| const int current_rows = get_global_id(2); |
| |
| // Address computation |
| __global uchar *input_addr = input_ptr + input_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) + current_cols * output_stride_y + current_rows * output_stride_z; |
| |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| acc = 0; |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| coeff_v = SQCVT_SAT(COEFF); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| beta_v = SQCVT_SAT(BETA); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| kappa_v = SQCVT_SAT(KAPPA); |
| |
| const int first_col = max(0, current_cols - (int)RADIUS); |
| const int last_col = min((int)DIM1_SIZE - 1, current_cols + (int)RADIUS); |
| |
| #if defined(IN_MAP_2D) |
| const int first_row = max(0, current_rows - (int)RADIUS); |
| const int last_row = min((int)NUM_SLICES - 1, current_rows + (int)RADIUS); |
| #endif /* defined(IN_MAP_2D) */ |
| |
| #if defined(IN_MAP_2D) |
| for(int j = first_row; j <= last_row; ++j) |
| { |
| #else // defined(IN_MAP_2D) |
| const int j = current_rows; |
| #endif /* defined(IN_MAP_2D) */ |
| for(int i = first_col; i <= last_col; ++i) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| values = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + i * input_stride_y + j * input_stride_z)); |
| acc = ADD_OP(acc, MUL_OP(values, values)); |
| } |
| #if defined(IN_MAP_2D) |
| } |
| #endif /* defined(IN_MAP_2D) */ |
| |
| acc = ADD_OP(MUL_OP(acc, coeff_v), kappa_v); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| normalized = POW_OP(acc, beta_v); |
| const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| normalized_pixel0 = DIV_OP(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + current_cols * output_stride_y + current_rows * output_stride_z)), normalized); |
| |
| STORE_VECTOR_SELECT(normalized_pixel, DATA_TYPE, output_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); |
| } |
| #endif // defined(NUM_SLICES) && defined(DIM1_SIZE) |