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author | Giorgio Arena <giorgio.arena@arm.com> | 2018-04-26 18:52:01 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:51:50 +0000 |
commit | 657bdb358c95ccd6bb07594a01625a7d7bacd32f (patch) | |
tree | 65ac93ea1c2c65b9815734433f2a930929aa169a /arm_compute/runtime/CL/functions | |
parent | 3d1489de593574e65ef1e64a7ae64e4e56c2978b (diff) | |
download | ComputeLibrary-657bdb358c95ccd6bb07594a01625a7d7bacd32f.tar.gz |
COMPMID-1050 CL/NEON: Create a function to convert the 2D weights of FC layer from NHWC to NCHW and viceversa
Change-Id: If77ffeb92b6eb883e5d2d2c97c2c4d1d23d17c8d
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129257
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h | 56 |
1 files changed, 56 insertions, 0 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h new file mode 100644 index 0000000000..d8eef34c62 --- /dev/null +++ b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h @@ -0,0 +1,56 @@ +/* + * Copyright (c) 2018 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_CLCONVERTFULLYCONNECTEDWEIGHTS_H__ +#define __ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H__ + +#include "arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h" +#include "arm_compute/runtime/CL/ICLSimpleFunction.h" + +namespace arm_compute +{ +class ICLTensor; + +/** Basic function to run @ref CLConvertFullyConnectedWeightsKernel. */ +class CLConvertFullyConnectedWeights : public ICLSimpleFunction +{ +public: + /** Initialize the function. + * + * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: U8/S8/QS8/QASYMM8/U16/S16/QS16/U32/S32/QS32/F16/F32. + * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input. + * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). Must be in NCHW format. + * @param[in] data_layout The data layout the weights have been trained in. + */ + void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout); + /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeights + * + * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: U8/S8/QS8/QASYMM8/U16/S16/QS16/U32/S32/QS32/F16/F32. + * @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input. + * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). Must be in NCHW format. + * @param[in] data_layout The data layout the weights have been trained in. + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout); +}; +} // namespace arm_compute +#endif /* __ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H__ */ |