diff options
Diffstat (limited to 'tests/validation/CPP/GEMMLowp.cpp')
| -rw-r--r-- | tests/validation/CPP/GEMMLowp.cpp | 28 |
1 files changed, 17 insertions, 11 deletions
diff --git a/tests/validation/CPP/GEMMLowp.cpp b/tests/validation/CPP/GEMMLowp.cpp index bf002cf2b5..35b8a6486e 100644 --- a/tests/validation/CPP/GEMMLowp.cpp +++ b/tests/validation/CPP/GEMMLowp.cpp @@ -63,19 +63,21 @@ void quantize_down_int32_to_uint8_scale(const SimpleTensor<T> *in, const SimpleT } } // namespace -template <typename T> -SimpleTensor<int32_t> gemmlowp_matrix_multiply_core(const SimpleTensor<T> &a, const SimpleTensor<T> &b, int32_t a_offset, int32_t b_offset) +template <typename T_out, typename T_in> +SimpleTensor<T_out> gemmlowp_matrix_multiply_core(const SimpleTensor<T_in> &a, const SimpleTensor<T_in> &b, int32_t a_offset, int32_t b_offset) { - TensorShape shape(b.shape()[0], a.shape()[1]); + static_assert(std::is_same<typename std::decay<T_out>::type, int32_t>::value, "Only int32_t is allowed for the output"); - SimpleTensor<int32_t> c(shape, DataType::S32); + TensorShape shape(b.shape()[0], a.shape()[1]); + DataType dt = std::is_same<T_out, int32_t>::value ? DataType::S32 : DataType::U32; + SimpleTensor<T_out> c(shape, dt); const int K = a.shape().x(); const int b_width = b.shape().x(); const int rows = c.shape().y(); //M const int cols = c.shape().x(); //N - std::vector<int32_t> acc; + std::vector<T_out> acc; acc.resize(cols); for(int i = 0; i < rows; ++i) @@ -86,11 +88,11 @@ SimpleTensor<int32_t> gemmlowp_matrix_multiply_core(const SimpleTensor<T> &a, co } for(int k = 0; k < K; ++k) { - const int32_t tmp_a = a_offset + static_cast<int32_t>(a[k + i * K]); + const T_out tmp_a = a_offset + static_cast<T_out>(a[k + i * K]); for(int j = 0; j < b_width; ++j) { - const int32_t tmp_b = b_offset + static_cast<int32_t>(b[j + k * b_width]); - const int32_t mult_as_int = tmp_a * tmp_b; + const T_out tmp_b = b_offset + static_cast<T_out>(b[j + k * b_width]); + const T_out mult_as_int = tmp_a * tmp_b; acc[j] += mult_as_int; } } @@ -104,9 +106,10 @@ SimpleTensor<int32_t> gemmlowp_matrix_multiply_core(const SimpleTensor<T> &a, co } // used to validate assembly kernels which don't know anything about offsets -SimpleTensor<int32_t> gemmlowp(const SimpleTensor<int8_t> &a, const SimpleTensor<int8_t> &b) +template <typename T1, typename T2> +SimpleTensor<T1> gemmlowp(const SimpleTensor<T2> &a, const SimpleTensor<T2> &b) { - return gemmlowp_matrix_multiply_core(a, b, 0, 0); + return gemmlowp_matrix_multiply_core<T1, T2>(a, b, 0, 0); } template <typename T> @@ -130,11 +133,14 @@ SimpleTensor<uint8_t> gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTe return dst; } -template SimpleTensor<int32_t> gemmlowp_matrix_multiply_core(const SimpleTensor<uint8_t> &a, const SimpleTensor<uint8_t> &b, int32_t a_offset, int32_t b_offset); template SimpleTensor<uint8_t> gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor<int32_t> &a, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max); template SimpleTensor<uint8_t> gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor<int32_t> &a, const SimpleTensor<int32_t> &b, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max); +template SimpleTensor<int32_t> gemmlowp_matrix_multiply_core(const SimpleTensor<int8_t> &a, const SimpleTensor<int8_t> &b, int32_t a_offset, int32_t b_offset); +template SimpleTensor<int32_t> gemmlowp_matrix_multiply_core(const SimpleTensor<uint8_t> &a, const SimpleTensor<uint8_t> &b, int32_t a_offset, int32_t b_offset); +template SimpleTensor<int32_t> gemmlowp(const SimpleTensor<int8_t> &a, const SimpleTensor<int8_t> &b); +template SimpleTensor<int32_t> gemmlowp(const SimpleTensor<uint8_t> &a, const SimpleTensor<uint8_t> &b); } // namespace reference } // namespace validation } // namespace test |