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Manuel Bottini1f332d42019-11-29 17:25:25 +00001/*
2 * Copyright (c) 2019 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_CLGEMMLOWPQUANTIZEDOWNINT32TOINT8SCALEBYFIXEDPOINTKERNEL_H
25#define ARM_COMPUTE_CLGEMMLOWPQUANTIZEDOWNINT32TOINT8SCALEBYFIXEDPOINTKERNEL_H
26
27#include "arm_compute/core/CL/ICLKernel.h"
28
29namespace arm_compute
30{
31class ICLTensor;
32
33/** OpenCL kernel used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8_SIGNED
34 *
35 * This kernel takes a final int32 accumulator value (the output of @ref CLGEMMLowpMatrixMultiplyKernel), and processes it to obtain the final QASYMM8_SIGNED value.
36 * The following computations will be performed by the kernel:
37 *
38 * -# Compute fixed point multiplication between each entry of input by result_fixedpoint_multiplier
39 * -# Add bias to final result if bias tensor is not a nullptr
40 * -# Round to nearest division by a power-of-two using result_shift
41 * -# Add offset to each result
42 * -# Clamp the value between the specified min and max bounds
43 * -# Clamp the resulting int32 values to the [-128..127] range and cast to QASYMM8_SIGNED.
44 */
45class CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel : public ICLKernel
46{
47public:
48 /** Constructor */
49 CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel();
50 /** Prevent instances of this class from being copied (As this class contains pointers)*/
51 CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel(const CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel &) = delete;
52 /** Prevent instances of this class from being copied (As this class contains pointers)*/
53 CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel &operator=(const CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel &) = delete;
54 /** Allow instances of this class to be moved */
55 CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel(CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel &&) = default;
56 /** Allow instances of this class to be moved */
57 CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel &operator=(CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel &&) = default;
58 /** Initialise the kernel's input and output.
59 *
60 * @param[in] input Input tensor. Data type supported: S32
61 * @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
62 * Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
63 * @param[out] output Output tensor. Data type supported: Data type supported: QASYMM8_SIGNED
64 * @param[in] result_fixedpoint_multiplier Fixed point value to be multiplied to each element of the input matrix when once the result_offset has been add
65 * @param[in] result_shift Integer value used to round to nearest division by a power-of-two the result after the fixed point multiplication
66 * @param[in] result_offset_after_shift Offset to be applied to result before converting it back to QASYMM8_SIGNED
67 * @param[in] min (Optional) Min value used to saturate down the output result before converting back to QASYMM8_SIGNED. Defaults to 0
68 * @param[in] max (Optional) Max value used to saturate up the output result before converting back to QASYMM8_SIGNED. Defaults to 0
69 * Along with @p min, this value can be used to implement "rectified linear unit" activation functions
70 */
71 void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift,
72 int min = 0, int max = 0);
73 /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel
74 *
75 * @param[in] input Input tensor. Data type supported: S32
76 * @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
77 * Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
78 * @param[in] output Output tensor. Data type supported: Data type supported: QASYMM8_SIGNED
79 * @param[in] min (Optional) Min value used to saturate down the output result before converting back to QASYMM8_SIGNED
80 * @param[in] max (Optional) Max value used to saturate up the output result before converting back to QASYMM8_SIGNED,
81 * Along with @p min, this value can be used to implement "rectified linear unit" activation functions
82 *
83 * @return a status
84 */
85 static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
86
87 // Inherited methods overridden:
88 void run(const Window &window, cl::CommandQueue &queue) override;
89
90private:
91 const ICLTensor *_input;
92 const ICLTensor *_bias;
93 ICLTensor *_output;
94};
95} // namespace arm_compute
96#endif /* ARM_COMPUTE_CLGEMMLOWPQUANTIZEDOWNINT32TOINT8SCALEBYFIXEDPOINTKERNEL_H */