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-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * 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.
- */
-
-/*
- * Copyright (c) 2016, 2017 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.
- */
-
-#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)