/* * 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_IN) && defined(BLOCK_SIZE) && defined(Z_IN) /** Perform space to depth rearrangement of tensor * * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float * @attention Input tensor depth should be given as a preprocessor argument using -DDEPTH_IN=size. * e.g. -DDEPTH_IN=16 * @attention The value of the z-axis of input tensor depth should be given as a preprocessor * argument using -DZ_IN=size. e.g. -DZ_IN=16 * @attention block size should be given as a preprocessor argument using -DBLOCK_SIZE=size. e.g. * -DBLOCK_SIZE=1 * * @param[in] input_ptr Pointer to the source image. Supported data * types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 * @param[in] input_stride_x Stride of the source image 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 image 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 * image * @param[out] output_ptr Pointer to the destination image. Supported data * types: same as @p input_ptr * @param[in] output_stride_x Stride of the destination image 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 image 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 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_stride_w Stride of the source 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 image */ __kernel void space_to_depth_nchw(TENSOR4D_DECLARATION(input), TENSOR4D_DECLARATION(output)) { Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, Z_IN); Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0); int out_index[4] = {0}; int in_index[4] = {0}; in_index[0] = get_global_id(0); // W in_index[1] = get_global_id(1); // H in_index[2] = get_global_id(2) % Z_IN; // C in_index[3] = get_global_id(2) / Z_IN; // B out_index[0] = in_index[0] / BLOCK_SIZE; out_index[1] = in_index[1] / BLOCK_SIZE; out_index[2] = in_index[2] + ((in_index[1] % BLOCK_SIZE) * BLOCK_SIZE + in_index[0] % BLOCK_SIZE) * DEPTH_IN; out_index[3] = in_index[3]; *((__global DATA_TYPE *)tensor4D_offset(&out, out_index[0], out_index[1], out_index[2], out_index[3])) = *((__global DATA_TYPE *)in.ptr); } #endif // defined(DATA_TYPE) && defined(Z_IN) && defined(BLOCK_SIZE) && defined(Z_IN) #if defined(DATA_TYPE) && defined(Z_IN) && defined(BLOCK_SIZE) && defined(Z_IN) /** Perform space to depth rearrangement of tensor * * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float * @attention Input tensor depth should be given as a preprocessor argument using -DDEPTH_IN=size. * e.g. -DDEPTH_IN=16 * @attention The value of the z-axis of input tensor depth should be given as a preprocessor * argument using -DZ_IN=size. e.g. -DZ_IN=16 * @attention block size should be given as a preprocessor argument using -DBLOCK_SIZE=size. e.g. * -DBLOCK_SIZE=1 * * @param[in] input_ptr Pointer to the source image. Supported data * types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 * @param[in] input_stride_x Stride of the source image 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 image 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 * image * @param[out] output_ptr Pointer to the destination image. Supported data * types: same as @p input_ptr * @param[in] output_stride_x Stride of the destination image 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 image 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 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_stride_w Stride of the source 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 image */ __kernel void space_to_depth_nhwc(TENSOR4D_DECLARATION(input), TENSOR4D_DECLARATION(output)) { Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, Z_IN); Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0); int out_index[4] = {0}; int in_index[4] = {0}; in_index[0] = get_global_id(0); // C in_index[1] = get_global_id(1); // W in_index[2] = get_global_id(2) % Z_IN; // H in_index[3] = get_global_id(2) / Z_IN; // B out_index[0] = in_index[0] + ((in_index[2] % BLOCK_SIZE) * BLOCK_SIZE + in_index[1] % BLOCK_SIZE) * DEPTH_IN; out_index[1] = in_index[1] / BLOCK_SIZE; out_index[2] = in_index[2] / BLOCK_SIZE; out_index[3] = in_index[3]; *((__global DATA_TYPE *)tensor4D_offset(&out, out_index[0], out_index[1], out_index[2], out_index[3])) = *((__global DATA_TYPE *)in.ptr); } #endif // defined(DATA_TYPE) && defined(DEPTH_IN) && defined(BLOCK_SIZE) && defined(Z_IN)