Compute Library
 21.08
GEMMLowp.h
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1 /*
2  * Copyright (c) 2017-2020 Arm Limited.
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24 #ifndef ARM_COMPUTE_TEST_GEMMLOWP_H
25 #define ARM_COMPUTE_TEST_GEMMLOWP_H
26 
27 #include "tests/SimpleTensor.h"
29 
30 namespace arm_compute
31 {
32 namespace test
33 {
34 namespace validation
35 {
36 namespace reference
37 {
38 template <typename T1, typename T2, typename T3>
39 SimpleTensor<T1> gemmlowp_matrix_multiply_core(const SimpleTensor<T2> &a, const SimpleTensor<T3> &b, TensorShape shape_c, int32_t a_offset, int32_t b_offset);
40 
41 template <typename T1, typename T2, typename T3 = T2>
42 SimpleTensor<T1> gemmlowp(const SimpleTensor<T2> &a, const SimpleTensor<T3> &b, TensorShape shape_c);
43 
44 template <typename TIn, typename TOut>
45 SimpleTensor<uint8_t> gemmlowp_quantize_down_scale(const SimpleTensor<TIn> &in, int32_t result_offset, std::vector<int32_t> result_mult_int, std::vector<int32_t> result_shift);
46 
47 template <typename TIn, typename TOut>
48 SimpleTensor<TOut> gemmlowp_quantize_down_scale(const SimpleTensor<TIn> &in, int32_t result_offset, std::vector<int32_t> result_mult_int, std::vector<int32_t> result_shift,
49  int32_t min = 0, int32_t max = 0);
50 
51 template <typename TIn, typename TOut>
52 SimpleTensor<TOut> gemmlowp_quantize_down_scale(const SimpleTensor<TIn> &in, const SimpleTensor<TIn> &bias, int32_t result_offset, std::vector<int32_t> result_mult_int,
53  std::vector<int32_t> result_shift, int32_t min = 0, int32_t max = 0);
54 
55 template <typename TIn, typename TOut>
56 SimpleTensor<TOut> gemmlowp_quantize_down_scale_by_fixedpoint(const SimpleTensor<TIn> &in, std::vector<int32_t> result_fixedpoint_multiplier, std::vector<int32_t> result_shift,
57  int32_t result_offset_after_shift, int32_t min = 0, int32_t max = 0);
58 
59 template <typename TIn, typename TOut>
60 SimpleTensor<TOut> gemmlowp_quantize_down_scale_by_fixedpoint(const SimpleTensor<TIn> &in, const SimpleTensor<TIn> &bias, std::vector<int32_t> result_fixedpoint_multiplier,
61  std::vector<int32_t> result_shift, int32_t result_offset_after_shift, int32_t min = 0, int32_t max = 0);
62 
63 template <typename TIn, typename TOut>
64 SimpleTensor<TOut> gemmlowp_quantize_down_scale_by_float(const SimpleTensor<TIn> &in, const SimpleTensor<TIn> &bias,
65  std::vector<float_t> result_real_multiplier, int32_t result_offset, int32_t min = 0, int32_t max = 0);
66 
67 template <typename TIn, typename TOut>
68 SimpleTensor<TOut> gemmlowp_quantize_down_scale_by_float(const SimpleTensor<TIn> &in,
69  std::vector<float_t> result_real_multiplier, int32_t result_offset, int32_t min = 0, int32_t max = 0);
70 } // namespace reference
71 } // namespace validation
72 } // namespace test
73 } // namespace arm_compute
74 #endif /* ARM_COMPUTE_TEST_GEMMLOWP_H */
SimpleTensor< T1 > gemmlowp(const SimpleTensor< T2 > &a, const SimpleTensor< T3 > &b, TensorShape shape_c)
Definition: GEMMLowp.cpp:235
SimpleTensor< float > b
Definition: DFT.cpp:157
Copyright (c) 2017-2021 Arm Limited.
SimpleTensor< TOut > gemmlowp_quantize_down_scale_by_fixedpoint(const SimpleTensor< TIn > &in, std::vector< int32_t > result_fixedpoint_multiplier, std::vector< int32_t > result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)
Definition: GEMMLowp.cpp:263
SimpleTensor< TOut > gemmlowp_quantize_down_scale_by_float(const SimpleTensor< TIn > &in, const SimpleTensor< TIn > &bias, std::vector< float_t > result_real_multiplier, int32_t result_offset, int32_t min, int32_t max)
Definition: GEMMLowp.cpp:285
SimpleTensor< T_out > gemmlowp_matrix_multiply_core(const SimpleTensor< T_in > &a, const SimpleTensor< T_in_1 > &b, TensorShape shape_c, int32_t a_offset, int32_t b_offset)
Definition: GEMMLowp.cpp:181
SimpleTensor< TOut > gemmlowp_quantize_down_scale(const SimpleTensor< TIn > &in, int32_t result_offset, std::vector< int32_t > result_mult_int, std::vector< int32_t > result_shift, int32_t min, int32_t max)
Definition: GEMMLowp.cpp:241