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Diffstat (limited to 'src/core/CL/cl_kernels/common/gather.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/common/gather.cl | 130 |
1 files changed, 130 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/common/gather.cl b/src/core/CL/cl_kernels/common/gather.cl new file mode 100644 index 0000000000..e16f4bf315 --- /dev/null +++ b/src/core/CL/cl_kernels/common/gather.cl @@ -0,0 +1,130 @@ +/* + * Copyright (c) 2018-2021, 2023-2024 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(AXIS) + +/** Performs the Gather operation along the chosen axis + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short + * @note Axis should be given as a preprocessor argument using -DAXIS=axis. e.g. -DAXIS=1 + * @attention Output tensor depth should be given as a preprocessor argument using -DOUTPUT_DIM_Z=size. e.g. -DOUTPUT_DIM_Z=16 + * + * + * @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 work item (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 work item (in bytes) + * @param[in] input_stride_z Stride of the source tensor in Y dimension (in bytes) + * @param[in] input_step_z input_stride_z * number of elements along Z processed per work item (in bytes) + * @param[in] input_stride_w Stride of the source tensor in Z dimension (in bytes) + * @param[in] input_step_w input_stride_w * number of elements along W processed per work item (in bytes) + * @param[in] input_offset_first_element_in_bytes Offset of the first element in the source tensor + * @param[in] indices_ptr Pointer to the indices vector. Supported data types: S32/U32. + * @param[in] indices_stride_x Stride of the indices vector in X dimension (in bytes) + * @param[in] indices_step_x input_stride_x * number of elements along X processed per work item (in bytes) + * @param[in] indices_offset_first_element_in_bytes Offset of the first element in the indices vector + * @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 work item (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 work item (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 work item (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 work item (in bytes) + * @param[in] output_offset_first_element_in_bytes Offset of the first element in the destination tensor + */ +__kernel void gather( + TENSOR4D_DECLARATION(input), + TENSOR4D_DECLARATION(indices), + TENSOR4D_DECLARATION(output)) +{ + const int px = get_global_id(0); + const int py = get_global_id(1); + const int pz = get_global_id(2) % OUTPUT_DIM_Z; + const int pw = (get_global_id(2) / OUTPUT_DIM_Z ); + + const Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input); + const Tensor4D indices = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(indices); + Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, OUTPUT_DIM_Z); + +#if AXIS == 0 +#if INDICES_DIMS == 1 + const uint index = *(__global const uint *)tensor4D_offset(&indices, px, 0, 0, 0); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, safe_index, py, pz, pw); +#elif INDICES_DIMS == 2 + const uint index = *(__global const uint *)tensor4D_offset(&indices, px, py, 0, 0); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, safe_index, pz, pw, 0); +#elif INDICES_DIMS == 3 + const uint index = *(__global const uint *)tensor4D_offset(&indices, px, py, pz, 0); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, safe_index, pw, 0, 0); +#elif INDICES_DIMS == 4 + const uint index = *(__global const uint *)tensor4D_offset(&indices, px, py, pz, pw); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, safe_index, 0, 0, 0); +#endif //INDICES_DIMS + +#elif AXIS == 1 +#if INDICES_DIMS == 1 + const uint index = *(__global const uint *)tensor4D_offset(&indices, py, 0, 0, 0); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, px, safe_index, pz, pw); +#elif INDICES_DIMS == 2 + const uint index = *(__global const uint *)tensor4D_offset(&indices, py, pz, 0, 0); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, px, safe_index, pw, 0); +#elif INDICES_DIMS == 3 + const uint index = *(__global const uint *)tensor4D_offset(&indices, py, pz, pw, 0); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, px, safe_index, 0, 0); +#endif //INDICES_DIMS + +#elif AXIS == 2 +#if INDICES_DIMS == 1 + const uint index = *(__global const uint *)tensor4D_offset(&indices, pz, 0, 0, 0); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, px, py, safe_index, pw); +#elif INDICES_DIMS == 2 + const uint index = *(__global const uint *)tensor4D_offset(&indices, pz, pw, 0, 0); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, px, py, safe_index, 0); +#endif //INDICES_DIMS + +#elif AXIS == 3 +#if INDICES_DIMS == 1 + const uint index = *(__global const uint *)tensor4D_offset(&indices, pw, 0, 0, 0); + const uint safe_index = select((uint)0, index, index < INDEX_LIMIT); + __global const uchar *input_addr = tensor4D_offset(&input, px, py, pz, safe_index); +#endif //INDICES_DIMS + +#endif //AXIS + + *(__global DATA_TYPE *)output.ptr = select((DATA_TYPE)0, *((__global const DATA_TYPE *)input_addr), (DATA_TYPE)(index < INDEX_LIMIT)); +} + +#endif //defined(DATA_TYPE) && defined(AXIS) |