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1 /*
2  * Copyright (c) 2018-2020 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_NECONVERTFULLYCONNECTEDWEIGHTS_H
25 #define ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H
26 
27 #include "arm_compute/runtime/IFunction.h"
28 #include "arm_compute/runtime/ITransformWeights.h"
29 #include "arm_compute/runtime/NEON/NEScheduler.h"
30 #include "arm_compute/runtime/Tensor.h"
31 #include <memory>
32 
33 namespace arm_compute
34 {
35 // Forward declarations
36 class ITensor;
37 class NEConvertFullyConnectedWeightsKernel;
38 
39 /** Basic function to run @ref NEConvertFullyConnectedWeightsKernel. */
40 class NEConvertFullyConnectedWeights : public IFunction
41 {
42 public:
43     /** Default constructor */
44     NEConvertFullyConnectedWeights();
45     /** Prevent instances of this class from being copied (As this class contains pointers) */
46     NEConvertFullyConnectedWeights(const NEConvertFullyConnectedWeights &) = delete;
47     /** Prevent instances of this class from being copied (As this class contains pointers) */
48     NEConvertFullyConnectedWeights &operator=(const NEConvertFullyConnectedWeights &) = delete;
49     /** Prevent instances of this class from being moved (As this class contains non movable objects) */
50     NEConvertFullyConnectedWeights(NEConvertFullyConnectedWeights &&) = delete;
51     /** Prevent instances of this class from being moved (As this class contains non movable objects) */
52     NEConvertFullyConnectedWeights &operator=(NEConvertFullyConnectedWeights &&) = delete;
53     /** Default destructor */
54     ~NEConvertFullyConnectedWeights();
55     /** Initialize the function.
56      *
57      * @param[in]  input                Source weights tensor to convert. Must be 2 dimensional. Data types supported: All.
58      * @param[out] output               The converted weights tensor. Shape and Data Type: Same as @p input.
59      * @param[in]  original_input_shape Shape of the original input tensor (the one entering fully connected layer).
60      * @param[in]  data_layout          The data layout the weights have been trained in.
61      */
62     void configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
63     /** Static function to check if given info will lead to a valid configuration of @ref NEConvertFullyConnectedWeights
64      *
65      * @param[in] input                Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All.
66      * @param[in] output               The converted weights tensor info. Shape and Data Type: Same as @p input.
67      * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
68      * @param[in] data_layout          The data layout the weights have been trained in.
69      *
70      * @return A Status
71      */
72     static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout);
73 
74     // Inherited methods overriden:
75     void run() override;
76 
77 private:
78     std::unique_ptr<NEConvertFullyConnectedWeightsKernel> _kernel;
79 };
80 
81 namespace weights_transformations
82 {
83 /** Basic function to run @ref NEConvertFullyConnectedWeightsKernel. */
84 class NEConvertFullyConnectedWeightsManaged : public ITransformWeights
85 {
86 public:
run()87     void run() override
88     {
89         _output.allocator()->allocate();
90         _func.run();
91         _reshape_run = true;
92     }
93 
release()94     void release() override
95     {
96         _output.allocator()->free();
97     }
98 
get_weights()99     ITensor *get_weights() override
100     {
101         return &_output;
102     }
103 
uid()104     uint32_t uid() override
105     {
106         return _uid;
107     }
108 
configure(const ITensor * input,const TensorShape & original_input_shape,DataLayout data_layout)109     void configure(const ITensor *input, const TensorShape &original_input_shape, DataLayout data_layout)
110     {
111         _func.configure(input, &_output, original_input_shape, data_layout);
112     }
113 
114 private:
115     static constexpr uint32_t      _uid = 0x4;
116     Tensor                         _output{};
117     NEConvertFullyConnectedWeights _func{};
118 };
119 } // namespace weights_transformations
120 } // namespace arm_compute
121 #endif /* ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H */
122