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Diffstat (limited to 'src/core/CL/cl_kernels/yolo_layer.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/yolo_layer.cl | 172 |
1 files changed, 0 insertions, 172 deletions
diff --git a/src/core/CL/cl_kernels/yolo_layer.cl b/src/core/CL/cl_kernels/yolo_layer.cl deleted file mode 100644 index 9601dddf67..0000000000 --- a/src/core/CL/cl_kernels/yolo_layer.cl +++ /dev/null @@ -1,172 +0,0 @@ -/* - * 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) |