| /* |
| * Copyright (c) 2018-2020 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. |
| */ |
| #if defined(DATA_TYPE) && defined(ACTIVATION_TYPE) && defined(NUM_CLASSES) && defined(VEC_SIZE) |
| |
| #include "activation_float_helpers.h" |
| |
| #define SELECT_TYPE SELECT_VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| |
| #if VEC_SIZE != 1 |
| #define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| |
| /** This performs a YOLO partial activation function for NCHW data layout |
| * |
| * @note In order to perform the activation function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @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 Activation function should be given as a preprocessor argument using -DACTIVATION_TYPE=name. e.g. -DACTIVATION_TYPE=TANH |
| * @note The number of classes should be given as a preprocessor argument using -DNUM_CLASSES=num. e.g. -DNUM_CLASSES=80 |
| * @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively. |
| * |
| * @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_stride_z Stride of the 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 source tensor |
| * @param[out] output_ptr (Optional) Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| * @param[in] output_stride_x (Optional) Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y (Optional) Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_stride_z (Optional) Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination tensor |
| */ |
| __kernel void yolo_layer_nchw( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get pixels pointer |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); |
| #endif /* IN_PLACE */ |
| |
| const int box_ch_id = get_global_id(2) % (NUM_CLASSES + 5); |
| const bool activate = box_ch_id != 2 && box_ch_id != 3; |
| |
| if(activate) |
| { |
| // Load data |
| TYPE data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr); |
| data = ACTIVATION(ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, data, A_VAL, B_VAL); // select(1.0f, ACTIVATION_OP(ACTIVATION_TYPE, data), (SELECT_TYPE)activate); |
| |
| // Store result |
| VSTORE(VEC_SIZE) |
| (data, 0, (__global DATA_TYPE *)output.ptr); |
| } |
| #ifndef IN_PLACE |
| else |
| { |
| // Load data |
| TYPE data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr); |
| |
| // Store result |
| VSTORE(VEC_SIZE) |
| (data, 0, (__global DATA_TYPE *)output.ptr); |
| } |
| #endif // IN_PLACE |
| } |
| |
| #else // VEC_SIZE != 1 |
| |
| /** This performs a YOLO partial activation function for NCHW data layout |
| * |
| * @note In order to perform the activation function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @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=1 |
| * @note Activation function should be given as a preprocessor argument using -DACTIVATION_TYPE=name. e.g. -DACTIVATION_TYPE=TANH |
| * @note The number of classes should be given as a preprocessor argument using -DNUM_CLASSES=num. e.g. -DNUM_CLASSES=80 |
| * @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively. |
| * |
| * @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_stride_z Stride of the 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 source tensor |
| * @param[out] output_ptr (Optional) Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| * @param[in] output_stride_x (Optional) Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y (Optional) Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_stride_z (Optional) Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination tensor |
| */ |
| __kernel void yolo_layer_nhwc( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get pixels pointer |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); |
| #endif /* IN_PLACE */ |
| |
| const int box_ch_id = get_global_id(0) % (NUM_CLASSES + 5); |
| const bool activate = box_ch_id != 2 && box_ch_id != 3; |
| |
| if(activate) |
| { |
| // Load data |
| DATA_TYPE data = *((__global DATA_TYPE *)input.ptr); |
| data = select(data, ACTIVATION(ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, data, A_VAL, B_VAL), (SELECT_TYPE)activate); |
| |
| // Store result |
| *((__global DATA_TYPE *)output.ptr) = data; |
| } |
| #ifndef IN_PLACE |
| else |
| { |
| // Load data |
| DATA_TYPE data = *((__global DATA_TYPE *)input.ptr); |
| |
| // Store result |
| *((__global DATA_TYPE *)output.ptr) = data; |
| } |
| #endif // IN_PLACE |
| } |
| |
| #endif // VEC_SIZE != 1 |
| #endif // defined(DATA_TYPE) && defined(ACTIVATION_TYPE) && defined(NUM_CLASSES) && defined(VEC_SIZE) |