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_TEST_GEMMLOWP_H 25 #define ARM_COMPUTE_TEST_GEMMLOWP_H 26 27 #include "tests/SimpleTensor.h" 28 #include "tests/validation/Helpers.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 */ 75