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Diffstat (limited to 'src/core/CL/cl_kernels/nhwc/depth_to_space.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/nhwc/depth_to_space.cl | 69 |
1 files changed, 69 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/nhwc/depth_to_space.cl b/src/core/CL/cl_kernels/nhwc/depth_to_space.cl new file mode 100644 index 0000000000..84f8aa7263 --- /dev/null +++ b/src/core/CL/cl_kernels/nhwc/depth_to_space.cl @@ -0,0 +1,69 @@ +/* + * Copyright (c) 2019-2021, 2024 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(BLOCK_SHAPE) && defined(CHANNEL_SIZE) +/** Depth to space transformation. (NHWC) + * + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float + * @note The input tensor depth size must be passed at compile time using -DCHANNEL_SIZE. e.g. -DCHANNEL_SIZE=2 + * @note The block shape must be passed at compile time using -DBLOCK_SHAPE. e.g. -DBLOCK_SHAPE=2 + * + * @param[in] input_ptr Pointer to the source tensor. Supported data types: All. + * @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 first source tensor + * @param[in] batch_id The input tensor batch id + * @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 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_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void depth_to_space_nhwc( + TENSOR3D_DECLARATION(input), + const int batch_id, + TENSOR4D_DECLARATION(output)) +{ + Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); + Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output); + + const int r = (CHANNEL_SIZE / (BLOCK_SHAPE * BLOCK_SHAPE)); + const int x = get_global_id(1); + const int y = get_global_id(2); + const int z = get_global_id(0) % r; + + const int out_x = x * BLOCK_SHAPE + (get_global_id(0) / r) % BLOCK_SHAPE; + const int out_y = y * BLOCK_SHAPE + (get_global_id(0) / r) / BLOCK_SHAPE; + + *((__global DATA_TYPE *)tensor4D_offset(&out, z, out_x, out_y, batch_id)) = *((__global DATA_TYPE *)in.ptr); +} +#endif // defined(DATA_TYPE) && defined(BLOCK_SHAPE) && defined(CHANNEL_SIZE) |