blob: 74fd31f0e5e4fab6ef0201d2df21169563c2e158 [file] [log] [blame]
Manuel Bottini0ded4c42021-03-09 14:15:27 +00001/*
2 * Copyright (c) 2021 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_CPU_QUANTIZATIONKERNEL_H
25#define ARM_COMPUTE_CPU_QUANTIZATIONKERNEL_H
26
27#include "src/core/common/Macros.h"
28#include "src/core/cpu/ICpuKernel.h"
29
30namespace arm_compute
31{
32namespace cpu
33{
34namespace kernels
35{
36/** Interface for the quantization layer kernel.
37 *
38 * @note The implementation supports only 3D input tensors
39 *
40 */
41class CpuQuantizationKernel : public ICpuKernel
42{
43public:
44 /** Default constructor */
45 CpuQuantizationKernel();
46 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuQuantizationKernel);
47 /** Set the input, output.
48 *
49 * @param[in] src Source tensor info. The dimensions over the third will be interpreted as batches. Data types supported: QASYMM8/QASYMM8_SIGNED/F32/F16.
50 * @param[out] dst Destination tensor info with the same dimensions of input. Data types supported: QASYMM8/QASYMM8_SIGNED/QASYMM16.
51 *
52 * @note Output auto initialization is not supported by this kernel
53 */
54 void configure(ITensorInfo *src, ITensorInfo *dst);
55 /** Static function to check if given info will lead to a valid configuration of @ref CpuQuantizationKernel
56 *
57 * @param[in] src Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F32/F16.
58 * @param[in] dst Output tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/QASYMM16.
59 *
60 * @return a status
61 */
62 static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
63
64 // Inherited methods overridden:
65 void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
66 const char *name() const override;
67
68private:
69 /** Common signature for all the specialised @ref NEQuantizationLayerKernel functions
70 *
71 * @param[in] window Region on which to execute the kernel.
72 */
73 using QuantizationFunctionExecutorPtr = void (CpuQuantizationKernel::*)(const ITensor *src, ITensor *dst, const Window &window);
74 /** Function to apply QASYMM8 or QASYMM8_SIGNED quantization on a tensor.
75 *
76 * @param[in] window Region on which to execute the kernel.
77 */
78 template <typename TIn, typename TOut>
79 void run_quantize_qasymm8(const ITensor *src, ITensor *dst, const Window &window);
80 /** Function to apply QASYMM16 quantization on a tensor.
81 *
82 * @param[in] window Region on which to execute the kernel.
83 */
84 template <typename T>
85 void run_quantize_qasymm16(const ITensor *src, ITensor *dst, const Window &window);
86
87 QuantizationFunctionExecutorPtr _func;
88};
89} // namespace kernels
90} // namespace cpu
91} // namespace arm_compute
92#endif /*ARM_COMPUTE_CPU_QUANTIZATIONKERNEL_H */