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author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2020-07-14 15:05:31 +0100 |
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committer | Sheri Zhang <sheri.zhang@arm.com> | 2020-08-05 17:45:10 +0000 |
commit | 4d81d75de09bba2de17e849a3d46e3052d449ad8 (patch) | |
tree | d3bc5c3430e3d8cf70540be5e545914a54e93035 /src/core/CL/cl_kernels/unpooling_layer.cl | |
parent | 801bbcb2f9a16633d0071b55aaf93b89870248ee (diff) | |
download | ComputeLibrary-4d81d75de09bba2de17e849a3d46e3052d449ad8.tar.gz |
COMPMID-2450: Implement CLMaxUnpoolingLayer
- Add OpenCL kernel for Max unpooling layer
- Add tests for validating the result
Change-Id: If7ca79566a1198e3141f880abf46738980a62c81
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3606
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/unpooling_layer.cl')
-rw-r--r-- | src/core/CL/cl_kernels/unpooling_layer.cl | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/unpooling_layer.cl b/src/core/CL/cl_kernels/unpooling_layer.cl new file mode 100644 index 0000000000..457e9bf8f1 --- /dev/null +++ b/src/core/CL/cl_kernels/unpooling_layer.cl @@ -0,0 +1,72 @@ +/* + * Copyright (c) 2020 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" + +/** Performs max unpooling function with pool size equal to 2. + * + * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16/F32 + * @note The width of the output tensor must be passed using -DWIDTH_DST e.g. -DWIDTH_DST=24 + * @note The height of the output tensor must be passed using -DHEIGHT_DST e.g. -DHEIGHT_DST=54 + * @note The depth of the output tensor must be passed using -DDEPTH_DST e.g. -DDEPTH_DST=32 + * + * @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @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 source tensor + * @param[out] output_ptr Pointer to the output tensor. Supported data types: same as @p input_ptr + * @param[in] output_stride_x Stride of the output 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 output 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 output 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 output tensor + * @param[in] indices_ptr Pointer to the indices tensor. Supported data types: U32 + * @param[in] indices_stride_x Stride of the indices tensor in X dimension (in bytes) + * @param[in] indices_step_x indices_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] indices_stride_y Stride of the indices tensor in Y dimension (in bytes) + * @param[in] indices_step_y indices_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] indices_stride_z Stride of the indices tensor in Z dimension (in bytes) + * @param[in] indices_step_z indices_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] indices_offset_first_element_in_bytes The offset of the first element in the indices tensor + */ +__kernel void max_unpooling_layer_2( + TENSOR3D_DECLARATION(input), + TENSOR3D_DECLARATION(output), + TENSOR3D_DECLARATION(indices)) +{ + Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); + Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_UPDATE_PTR(output); + Tensor3D indices = CONVERT_TO_TENSOR3D_STRUCT(indices); + + unsigned int index = *((__global unsigned int *)indices.ptr); + DATA_TYPE value = *((__global DATA_TYPE *)input.ptr); + + *((__global DATA_TYPE *)tensor3D_index2ptr(&output, WIDTH_DST, HEIGHT_DST, DEPTH_DST, index)) = value; +}
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