From 73023027d6250daaa1df49fdeb1d21e59a0bf7f5 Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Tue, 4 Sep 2018 14:55:55 +0100 Subject: COMPMID-1539 Implement YOLOLayer on CL Change-Id: I332c0703e1399fca0c5b724529b54a28f49c88da Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146842 Tested-by: Jenkins Reviewed-by: Georgios Pinitas --- src/core/CL/cl_kernels/yolo_layer.cl | 176 +++++++++++++++++++++++++++++++++++ 1 file changed, 176 insertions(+) create mode 100644 src/core/CL/cl_kernels/yolo_layer.cl (limited to 'src/core/CL/cl_kernels/yolo_layer.cl') diff --git a/src/core/CL/cl_kernels/yolo_layer.cl b/src/core/CL/cl_kernels/yolo_layer.cl new file mode 100644 index 0000000000..2240d7c637 --- /dev/null +++ b/src/core/CL/cl_kernels/yolo_layer.cl @@ -0,0 +1,176 @@ +/* + * Copyright (c) 2018 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(SELECT_DATA_TYPE) && defined(ACT) && defined(NUM_CLASSES) && defined(VEC_SIZE) + +#if VEC_SIZE != 1 +#define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) +#define SELECT_TYPE VEC_DATA_TYPE(SELECT_DATA_TYPE, VEC_SIZE) + +#include "activation_helpers.h" + +/** 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 -DACT=name. e.g. -DACT=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_OP(ACT, data); // select(1.0f, ACTIVATION_OP(ACT, 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 + +#define TYPE DATA_TYPE +#define SELECT_TYPE SELECT_DATA_TYPE + +#include "activation_helpers.h" + +/** 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 -DACT=name. e.g. -DACT=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_OP(ACT, data), (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(SELECT_DATA_TYPE) && defined(ACT) && defined(NUM_CLASSES) && defined(VEC_SIZE) \ No newline at end of file -- cgit v1.2.1