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1 /*
2  * Copyright (c) 2017-2020 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_NEPOOLINGLAYERKERNEL_H
25 #define ARM_COMPUTE_NEPOOLINGLAYERKERNEL_H
26 
27 #include "src/core/NEON/INEKernel.h"
28 
29 namespace arm_compute
30 {
31 class ITensor;
32 
33 /** Interface for the pooling layer kernel */
34 class NEPoolingLayerKernel : public INEKernel
35 {
36 public:
name()37     const char *name() const override
38     {
39         return "NEPoolingLayerKernel";
40     }
41     /** Default constructor */
42     NEPoolingLayerKernel();
43     /** Prevent instances of this class from being copied (As this class contains pointers) */
44     NEPoolingLayerKernel(const NEPoolingLayerKernel &) = delete;
45     /** Prevent instances of this class from being copied (As this class contains pointers) */
46     NEPoolingLayerKernel &operator=(const NEPoolingLayerKernel &) = delete;
47     /** Allow instances of this class to be moved */
48     NEPoolingLayerKernel(NEPoolingLayerKernel &&) = default;
49     /** Allow instances of this class to be moved */
50     NEPoolingLayerKernel &operator=(NEPoolingLayerKernel &&) = default;
51     /** Default destructor */
52     ~NEPoolingLayerKernel() = default;
53     /** Set the input and output tensors.
54      *
55      * @note F16 are supported for pool sizes 2 and 3 only
56      *
57      * @param[in]  input     Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
58      * @param[out] output    Destination tensor. Data types supported: Same as @p input.
59      * @param[in]  pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
60      * @param[out] indices   (optional) The indices of the maximal values. Data type supported: U32.
61      */
62     void configure(const ITensor *input, ITensor *output, const PoolingLayerInfo &pool_info, ITensor *indices = nullptr);
63     /** Static function to check if given info will lead to a valid configuration of @ref NEPoolingLayerKernel
64      *
65      * @note F16 are supported for pool sizes 2 and 3 only
66      *
67      * @param[in] input     Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
68      * @param[in] output    Destination tensor. Data types supported: Same as @p input.
69      * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
70      * @param[in] indices   (optional) The indices of the maximal values. Data type supported: U32.
71      *
72      * @return a status
73      */
74     static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info, const ITensorInfo *indices = nullptr);
75 
76     // Inherited methods overridden:
77     void run(const Window &window, const ThreadInfo &info) override;
78     BorderSize border_size() const override;
79 
80 private:
81     /** Function to perform 2x2 pooling.
82      *
83      * @param[in] window_input    Input region on which to execute the kernel.
84      * @param[in] window          Output region on which to execute the kernel.
85      * @param[in] pooling_type    Pooling operation to be computed.
86      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
87      */
88     void pooling2_f32_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
89     /** Function to perform 2x2 pooling and compute the pooling indices. The indices can be used for max unpool.
90      *
91      * @param[in] window_input Input region on which to execute the kernel.
92      * @param[in] window       Output region on which to execute the kernel.
93      */
94     void pooling2_f32_nhwc_maxpool_indices(const Window &window_input, const Window &window);
95     /** Function to perform MxN pooling for 32-bit floating point values.
96      *
97      * @param[in] window_input    Input region on which to execute the kernel.
98      * @param[in] window          Output region on which to execute the kernel.
99      * @param[in] pooling_type    Pooling operation to be computed.
100      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
101      */
102     void poolingMxN_f32_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
103     /** Function to perform MxN pooling for 32-bit floating point values (NHWC).
104      *
105      * @param[in] window_input    Input region on which to execute the kernel.
106      * @param[in] window          Output region on which to execute the kernel.
107      * @param[in] pooling_type    Pooling operation to be computed.
108      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
109      */
110     void poolingMxN_f32_nhwc(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
111     /** Function to perform 7x7 pooling.
112      *
113      * @param[in] window_input    Input region on which to execute the kernel.
114      * @param[in] window          Output region on which to execute the kernel.
115      * @param[in] pooling_type    Pooling operation to be computed.
116      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
117      */
118     void pooling7_f32_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
119     /** Function to perform 3x3 pooling.
120      *
121      * @param[in] window_input    Input region on which to execute the kernel.
122      * @param[in] window          Output region on which to execute the kernel.
123      * @param[in] pooling_type    Pooling operation to be computed.
124      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
125      */
126     void pooling3_f32_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
127     /** Function to perform 2x2 pooling for float16_t.
128      *
129      * @param[in] window_input    Input region on which to execute the kernel.
130      * @param[in] window          Output region on which to execute the kernel.
131      * @param[in] pooling_type    Pooling operation to be computed.
132      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
133      */
134     void pooling2_f16_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
135     /** Function to perform 2x2 pooling and compute the pooling indices for FP32/FP16. The indices can be used for max unpool.
136      *
137      * @param[in] window_input Input region on which to execute the kernel.
138      * @param[in] window       Output region on which to execute the kernel.
139      */
140     template <typename T>
141     void pooling2_nchw_maxpool_indices(const Window &window_input, const Window &window);
142     /** Function to perform 2x2 pooling and compute the pooling indices. The indices can be used for max unpool.
143      *
144      * @param[in] window_input Input region on which to execute the kernel.
145      * @param[in] window       Output region on which to execute the kernel.
146      */
147     void pooling2_f16_nhwc_maxpool_indices(const Window &window_input, const Window &window);
148     /** Function to perform 3x3 pooling.
149      *
150      * @param[in] window_input    Input region on which to execute the kernel.
151      * @param[in] window          Output region on which to execute the kernel.
152      * @param[in] pooling_type    Pooling operation to be computed.
153      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
154      */
155     void pooling3_f16_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
156     /** Function to perform MxN pooling for 16-bit floating point values.
157      *
158      * @param[in] window_input    Input region on which to execute the kernel.
159      * @param[in] window          Output region on which to execute the kernel.
160      * @param[in] pooling_type    Pooling operation to be computed.
161      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
162      */
163     void poolingMxN_f16_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
164     /** Function to perform MxN pooling for 16-bit floating point values. (NHWC)
165      *
166      * @param[in] window_input    Input region on which to execute the kernel.
167      * @param[in] window          Output region on which to execute the kernel.
168      * @param[in] pooling_type    Pooling operation to be computed.
169      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
170      */
171     void poolingMxN_f16_nhwc(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
172     /** Template function to perform 2x2 pooling for 8bit quantized fixed point. (NCHW)
173      *
174      * @param[in] window_input    Input region on which to execute the kernel.
175      * @param[in] window          Output region on which to execute the kernel.
176      * @param[in] pooling_type    Pooling operation to be computed.
177      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
178      */
179     template <typename T>
180     void pooling2_q8_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
181     /** Template function to perform 3x3 pooling for 8bit quantized fixed point. (NCHW)
182      *
183      * @param[in] window_input    Input region on which to execute the kernel.
184      * @param[in] window          Output region on which to execute the kernel.
185      * @param[in] pooling_type    Pooling operation to be computed.
186      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
187      */
188     template <typename T>
189     void pooling3_q8_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
190     /** Template function to perform MxN pooling for 8-bit quantized. (NCHW)
191      *
192      * @param[in] window_input    Input region on which to execute the kernel.
193      * @param[in] window          Output region on which to execute the kernel.
194      * @param[in] pooling_type    Pooling operation to be computed.
195      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
196      */
197     template <typename T>
198     void poolingMxN_q8_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
199     /** Template function to perform MxN pooling for 8-bit quantized. (NHWC)
200      *
201      * @param[in] window_input    Input region on which to execute the kernel.
202      * @param[in] window          Output region on which to execute the kernel.
203      * @param[in] pooling_type    Pooling operation to be computed.
204      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
205      */
206     template <typename T>
207     void poolingMxN_q8_nhwc(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
208     /** Common signature for all the specialised Pooling functions
209      *
210      * @param[in] window_input    Input region on which to execute the kernel.
211      * @param[in] window          Output region on which to execute the kernel.
212      * @param[in] pooling_type    Pooling operation to be computed.
213      * @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
214      */
215     using PoolingFunction = void (NEPoolingLayerKernel::*)(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding);
216 
217 private:
218     PoolingFunction  _func;
219     const ITensor   *_input;
220     ITensor         *_output;
221     ITensor         *_indices;
222     PoolingLayerInfo _pool_info;
223     DataLayout       _data_layout;
224     unsigned int     _num_elems_processed_per_iteration;
225     BorderSize       _border_size;
226     bool             _is_square;
227 };
228 } // namespace arm_compute
229 #endif /*ARM_COMPUTE_NEPOOLINGLAYERKERNEL_H */
230