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Giorgio Arena657bdb32018-04-26 18:52:01 +01001/*
2 * Copyright (c) 2018 ARM Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#ifndef __ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H__
25#define __ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H__
26
27#include "arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h"
28#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
29
30namespace arm_compute
31{
32class ICLTensor;
33
34/** Basic function to run @ref CLConvertFullyConnectedWeightsKernel. */
35class CLConvertFullyConnectedWeights : public ICLSimpleFunction
36{
37public:
38 /** Initialize the function.
39 *
40 * @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.
41 * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input.
42 * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). Must be in NCHW format.
43 * @param[in] data_layout The data layout the weights have been trained in.
44 */
45 void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
46 /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeights
47 *
48 * @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.
49 * @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input.
50 * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). Must be in NCHW format.
51 * @param[in] data_layout The data layout the weights have been trained in.
52 */
53 static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout);
54};
55} // namespace arm_compute
56#endif /* __ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H__ */