diff options
Diffstat (limited to 'libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_batch.cl')
| -rw-r--r-- | libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_batch.cl | 163 |
1 files changed, 0 insertions, 163 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_batch.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_batch.cl deleted file mode 100644 index a0fc2d5a9..000000000 --- a/libs/ARMComputeEx/src/core/CL/cl_kernels/space_to_batch.cl +++ /dev/null @@ -1,163 +0,0 @@ -/* - * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved - * Copyright (c) 2016, 2017 ARM Limited. - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ -#include "helpers.h" - -#if defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(BATCH_IN) && defined(HEIGHT_IN) && defined(WIDTH_IN) && defined(ZERO_VALUE) -/** Perform space to batch with input of 4D and NCHW format - * - * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float - * @attention Output tensor depth should be given as a preprocessor argument using -DDEPTH_OUT=size. e.g. -DDEPTH_OUT=16 - * @attention Input tensor batch should be given as a preprocessor argument using -DBATCH_IN=size. e.g. -DBATCH_IN=16 - * @attention Input tensor height should be given as a preprocessor argument using -DHEIGHT_IN=size. e.g. -DHEIGHT_IN=16 - * @attention Input tensor width should be given as a preprocessor argument using -DHEIGHT_IN=size. e.g. -DWIDTH_IN=16 - * @attention The value to be set by pad value using -DZERO_VALUE=value. e.g. -DZERO_VALUE=0 - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: U8/S8/U16/S16/F16/U32/S32/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_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] input_step_w input_stride_w * number of elements along W 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 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_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] block_size_ptr Pointer to the source tensor. Supported data types: S32 - * @param[in] block_size_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] block_size_step_x block_size_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] block_size_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] padding_size_ptr Pointer to the source tensor. Supported data types: S32 - * @param[in] padding_size_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] padding_size_step_x padding_size_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] padding_size_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] padding_size_step_y padding_size_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] padding_size_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void space_to_batch_4d_nchw(TENSOR4D_DECLARATION(input), - TENSOR4D_DECLARATION(output), - VECTOR_DECLARATION(block_size), - IMAGE_DECLARATION(padding_size)) -{ - Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, 0); - Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, DEPTH_OUT); - - int block_size_x = *((__global int *)(block_size_ptr)); - int block_size_y = *((__global int *)(block_size_ptr + block_size_stride_x)); - int shift_x = (get_global_id(2) / DEPTH_OUT / BATCH_IN) % block_size_x; - int shift_y = (get_global_id(2) / DEPTH_OUT / BATCH_IN) / block_size_x; - - int in_index[4] = {0, }; - in_index[0] = get_global_id(0) * block_size_x + shift_x - *((__global int *)(padding_size_ptr)); - in_index[1] = get_global_id(1) * block_size_y + shift_y - *((__global int *)(padding_size_ptr + padding_size_stride_y)); - in_index[2] = get_global_id(2) % DEPTH_OUT; - in_index[3] = (get_global_id(2) / DEPTH_OUT) % BATCH_IN; - - if (in_index[0] < 0 || in_index[0] >= WIDTH_IN || in_index[1] < 0 || in_index[1] >= HEIGHT_IN) - { - *((__global DATA_TYPE *)out.ptr) = (DATA_TYPE)ZERO_VALUE; - } - else - { - *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, in_index[0], in_index[1], in_index[2], in_index[3])); - } -} -#endif // defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(BATCH_IN) && defined(HEIGHT_IN) && defined(WIDTH_IN) && defined(ZERO_VALUE) - -#if defined(DATA_TYPE) && defined(HEIGHT_OUT) && defined(BATCH_IN) && defined(HEIGHT_IN) && defined(WIDTH_IN) && defined(ZERO_VALUE) && defined(VEC_SIZE) -/** Perform space to batch with input of 4D and NHWC format - * - * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float - * @attention Output tensor depth should be given as a preprocessor argument using -DHEIGHT_OUT=size. e.g. -DHEIGHT_OUT=16 - * @attention Input tensor batch should be given as a preprocessor argument using -DBATCH_IN=size. e.g. -DBATCH_IN=16 - * @attention Input tensor height should be given as a preprocessor argument using -DHEIGHT_IN=size. e.g. -DHEIGHT_IN=16 - * @attention Input tensor width should be given as a preprocessor argument using -DHEIGHT_IN=size. e.g. -DWIDTH_IN=16 - * @attention The value to be set by pad value using -DZERO_VALUE=value. e.g. -DZERO_VALUE=0 - * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: U8/S8/U16/S16/F16/U32/S32/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_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] input_step_w input_stride_w * number of elements along W 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 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_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] block_size_ptr Pointer to the source tensor. Supported data types: S32 - * @param[in] block_size_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] block_size_step_x block_size_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] block_size_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] padding_size_ptr Pointer to the source tensor. Supported data types: S32 - * @param[in] padding_size_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] padding_size_step_x padding_size_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] padding_size_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] padding_size_step_y padding_size_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] padding_size_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void space_to_batch_4d_nhwc(TENSOR4D_DECLARATION(input), - TENSOR4D_DECLARATION(output), - VECTOR_DECLARATION(block_size), - IMAGE_DECLARATION(padding_size)) -{ - Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, 0); - Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, HEIGHT_OUT); - - int block_size_x = *((__global int *)(block_size_ptr)); - int block_size_y = *((__global int *)(block_size_ptr + block_size_stride_x)); - int shift_x = (get_global_id(2) / HEIGHT_OUT / BATCH_IN) % block_size_x; - int shift_y = (get_global_id(2) / HEIGHT_OUT / BATCH_IN) / block_size_x; - - int in_index[4] = {0, }; - in_index[0] = get_global_id(0) * VEC_SIZE; - in_index[1] = get_global_id(1) * block_size_x + shift_x - *((__global int *)(padding_size_ptr)); - in_index[2] = get_global_id(2) % HEIGHT_OUT * block_size_y + shift_y - *((__global int *)(padding_size_ptr + padding_size_stride_y)); - in_index[3] = (get_global_id(2) / HEIGHT_OUT) % BATCH_IN; - - if (in_index[1] < 0 || in_index[1] >= WIDTH_IN || in_index[2] < 0 || in_index[2] >= HEIGHT_IN) - { - VSTORE(VEC_SIZE)((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))ZERO_VALUE, 0, (__global DATA_TYPE *)out.ptr); - } - else - { - VSTORE(VEC_SIZE)(CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)tensor4D_offset(&in, in_index[0], in_index[1], in_index[2], in_index[3])), - VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)), - 0, (__global DATA_TYPE *)out.ptr); - } -} - -#endif // defined(DATA_TYPE) && defined(HEIGHT_OUT) && defined(BATCH_IN) && defined(HEIGHT_IN) && defined(WIDTH_IN) && defined(ZERO_VALUE) && defined(VEC_SIZE) |