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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 /arm_compute/runtime/CL/functions | |
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 'arm_compute/runtime/CL/functions')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLMaxUnpoolingLayer.h | 95 |
1 files changed, 95 insertions, 0 deletions
diff --git a/arm_compute/runtime/CL/functions/CLMaxUnpoolingLayer.h b/arm_compute/runtime/CL/functions/CLMaxUnpoolingLayer.h new file mode 100644 index 0000000000..5c8548f9e0 --- /dev/null +++ b/arm_compute/runtime/CL/functions/CLMaxUnpoolingLayer.h @@ -0,0 +1,95 @@ +/* + * 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. + */ +#ifndef ARM_COMPUTE_CLMAXUNPOOLINGLAYER_H +#define ARM_COMPUTE_CLMAXUNPOOLINGLAYER_H + +#include "arm_compute/runtime/IFunction.h" + +#include "arm_compute/core/CL/kernels/CLMaxUnpoolingLayerKernel.h" +#include "arm_compute/core/CL/kernels/CLMemsetKernel.h" + +namespace arm_compute +{ +class ITensor; + +/** Function to perform MaxUnpooling. This function calls the following OpenCL kernels: + * + * -# @ref CLMemsetKernel + * -# @ref CLMaxUnpoolingLayerKernel + */ +class CLMaxUnpoolingLayer : public IFunction +{ +public: + /** Constructor */ + CLMaxUnpoolingLayer(); + /** Set the input and output tensors. + * + * @note Output shape must be equal to the shape of the original input to pool. + * + * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. + * @param[in] indices Tensor containing the offset to store the input elements in the output tensor. + * @ref CLPoolingLayer with indices should precede this function in order to + * properly reconstruct the output tensor. + * The tensor shape of this tensor has to be equal to the input tensor shape. Data type supported: U32. + * @param[out] output Destination tensor. Data types supported: Same as @p input. + * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo. + */ + void configure(ICLTensor *input, ICLTensor *indices, ICLTensor *output, const PoolingLayerInfo &pool_info); + /** Set the input and output tensors. + * + * @note Output shape must be equal to the shape of the original input to pool. + * + * @param[in] compile_context The compile context to be used. + * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. + * @param[in] indices Tensor containing the offset to store the input elements in the output tensor. + * @ref CLPoolingLayer with indices should precede this function in order to + * properly reconstruct the output tensor. + * The tensor shape of this tensor has to be equal to the input tensor shape. Data type supported: U32. + * @param[out] output Destination tensor. Data types supported: Same as @p input. + * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo. + */ + void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *indices, ICLTensor *output, const PoolingLayerInfo &pool_info); + /** Static function to check if given info will lead to a valid configuration of @ref CLMaxUnpoolingLayer + * + * @param[in] input Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. + * @param[in] output Destination tensor info. Data types supported: Same as @p input. + * @param[in] indices TensorInfo associated to the tensor containing the offset to store the input elements in the output tensor. + * @ref CLPoolingLayer with indices should precede this function in order to + * properly reconstruct the output tensor. + * The tensor shape of this tensor has to be equal to the input tensor shape. Data type supported: U32. + * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *indices, const ITensorInfo *output, const PoolingLayerInfo &pool_info); + + // Inherited methods overridden: + void run() override; + +private: + CLMemsetKernel _memset_kernel; + CLMaxUnpoolingLayerKernel _unpooling_layer_kernel; +}; +} +#endif /* ARM_COMPUTE_CLMAXUNPOOLINGLAYER_H */ |