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Diffstat (limited to 'src/core/CL/cl_kernels/nchw/batch_to_space.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/nchw/batch_to_space.cl | 131 |
1 files changed, 131 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/nchw/batch_to_space.cl b/src/core/CL/cl_kernels/nchw/batch_to_space.cl new file mode 100644 index 0000000000..d83e81347e --- /dev/null +++ b/src/core/CL/cl_kernels/nchw/batch_to_space.cl @@ -0,0 +1,131 @@ +/* + * 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(BATCH_SIZE) +/** Batch to space transformation. (NCHW) + * + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float + * @note The input tensor batch size must be passed at compile time using -DBATCH_SIZE. e.g. -DBATCH_SIZE=2 + * + * @deprecated This method for dynamic block shape is not fully mature and will be removed in 23.08 release + * + * @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[in] block_shape_ptr Pointer to the source tensor. Supported data types: S32 + * @param[in] block_shape_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] block_shape_step_x block_shape_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] block_shape_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] block_shape_step_y block_shape_stride_y * number of elements along Y 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[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 batch_to_space_nchw( + TENSOR4D_DECLARATION(input), + const int batch_id, + VECTOR_DECLARATION(block_shape), + TENSOR3D_DECLARATION(output)) +{ + Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input); + Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); + Vector block = CONVERT_TO_VECTOR_STRUCT_NO_STEP(block_shape); + + const int block_x = *((__global int *)vector_offset(&block, 0)); + const int block_y = *((__global int *)vector_offset(&block, 1)); + + const int x = get_global_id(0); + const int y = get_global_id(1); + const int z = get_global_id(2); + + const int in_batch = batch_id + ((x % block_x) + (y % block_y) * block_x) * BATCH_SIZE; + const int in_x = x / block_x; + const int in_y = y / block_y; + + *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, in_x, in_y, z, in_batch)); +} +#endif // defined(DATA_TYPE) && defined(BATCH_SIZE) + +#if defined(DATA_TYPE) && defined(BATCH_SIZE) && defined(BLOCK_SHAPE_X) && defined(BLOCK_SHAPE_Y) +/** Batch to space transformation. (NCHW) + * + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float + * @note The input tensor batch size must be passed at compile time using -DBATCH_SIZE. e.g. -DBATCH_SIZE=2 + * @note The block shape x must be passed at compile time using -DBLOCK_SHAPE_X. e.g. -DBLOCK_SHAPE_X=2 + * @note The block shape y must be passed at compile time using -DBLOCK_SHAPE_Y. e.g. -DBLOCK_SHAPE_Y=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 batch_to_space_static_nchw( + TENSOR4D_DECLARATION(input), + const int batch_id, + TENSOR3D_DECLARATION(output)) +{ + Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input); + Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); + + const int block_x = BLOCK_SHAPE_X; + const int block_y = BLOCK_SHAPE_Y; + + const int x = get_global_id(0) + CROP_LEFT; + const int y = get_global_id(1) + CROP_TOP; + const int z = get_global_id(2); + + const int in_batch = batch_id + ((x % block_x) + (y % block_y) * block_x) * BATCH_SIZE; + const int in_x = x / block_x; + const int in_y = y / block_y; + + *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, in_x, in_y, z, in_batch)); +} +#endif // defined(DATA_TYPE) && defined(BATCH_SIZE) && defined(BLOCK_SHAPE_X) && defined(BLOCK_SHAPE_Y) |