| 1 | #ifndef DNNL_HELPER_H |
| 2 | #define DNNL_HELPER_H |
| 3 | |
| 4 | #include <optional> |
| 5 | #include <cassert> |
| 6 | |
| 7 | #include "oneapi/dnnl/dnnl.hpp" |
| 8 | |
| 9 | namespace c10 { |
| 10 | struct BFloat16; |
| 11 | struct Half; |
| 12 | } // namespace c10 |
| 13 | |
| 14 | namespace dnnl { |
| 15 | namespace impl { |
| 16 | struct memory_storage_t; |
| 17 | struct matmul_pd_t; |
| 18 | struct matmul_desc_t; |
| 19 | } // namespace impl |
| 20 | } // namespace dnnl |
| 21 | struct dnnl_memory_desc; |
| 22 | |
| 23 | template <typename KT, typename VT> |
| 24 | class DNNLPrimitiveCache; |
| 25 | |
| 26 | template <typename T> |
| 27 | struct DNNLType { |
| 28 | static constexpr dnnl::memory::data_type type = |
| 29 | dnnl::memory::data_type::undef; |
| 30 | }; |
| 31 | |
| 32 | template <> |
| 33 | struct DNNLType<int8_t> { |
| 34 | static constexpr dnnl::memory::data_type type = dnnl::memory::data_type::s8; |
| 35 | }; |
| 36 | |
| 37 | template <> |
| 38 | struct DNNLType<int32_t> { |
| 39 | static constexpr dnnl::memory::data_type type = dnnl::memory::data_type::s32; |
| 40 | }; |
| 41 | |
| 42 | template <> |
| 43 | struct DNNLType<float> { |
| 44 | static constexpr dnnl::memory::data_type type = dnnl::memory::data_type::f32; |
| 45 | }; |
| 46 | |
| 47 | template <> |
| 48 | struct DNNLType<c10::BFloat16> { |
| 49 | static constexpr dnnl::memory::data_type type = dnnl::memory::data_type::bf16; |
| 50 | }; |
| 51 | |
| 52 | template <> |
| 53 | struct DNNLType<c10::Half> { |
| 54 | static constexpr dnnl::memory::data_type type = dnnl::memory::data_type::f16; |
| 55 | }; |
| 56 | |
| 57 | template <typename T> |
| 58 | constexpr inline dnnl::memory::data_type get_dnnl_type() { |
| 59 | return DNNLType<std::decay_t<T>>::type; |
| 60 | } |
| 61 | |
| 62 | class DNNLMatMulPrimitiveHandler { |
| 63 | public: |
| 64 | virtual ~DNNLMatMulPrimitiveHandler() = default; |
| 65 | |
| 66 | protected: |
| 67 | struct Args { |
| 68 | dnnl_dim_t b_n_size; |
| 69 | dnnl_dim_t b_n_stride; |
| 70 | dnnl_dim_t b_k_size; |
| 71 | dnnl_dim_t b_k_stride; |
| 72 | void* b_ptr; |
| 73 | dnnl::memory::data_type c_type; |
| 74 | size_t primitive_cache_size; |
| 75 | }; |
| 76 | |
| 77 | protected: |
| 78 | DNNLMatMulPrimitiveHandler(const Args& args, dnnl::memory::data_type b_type); |
| 79 | |
| 80 | void prepack_weight(void* original_b_ptr, dnnl::memory::desc original_b_md, |
| 81 | dnnl::memory::desc b_target_mem_desc); |
| 82 | |
| 83 | void set_runtime_memory_ptr(size_t index, dnnl_memory* memory_ptr); |
| 84 | |
| 85 | std::pair<dnnl::impl::memory_storage_t*, dnnl_memory_desc*> |
| 86 | get_runtime_memory_ptr(size_t index); |
| 87 | |
| 88 | protected: |
| 89 | const dnnl_dim_t b_n_size_; |
| 90 | const dnnl_dim_t b_n_stride_; |
| 91 | const dnnl_dim_t b_k_size_; |
| 92 | const dnnl_dim_t b_k_stride_; |
| 93 | dnnl::memory::data_type b_type_; |
| 94 | dnnl::memory::data_type c_type_; |
| 95 | std::unordered_map<int, dnnl::memory> memory_cache_; |
| 96 | std::vector<std::pair<dnnl::impl::memory_storage_t*, dnnl_memory_desc*>> |
| 97 | runtime_memory_ptrs_; |
| 98 | dnnl::memory::desc b_target_mem_desc_; |
| 99 | int64_t primitive_cache_size_; |
| 100 | }; |
| 101 | |
| 102 | class W8A8MatMulPrimitiveHandler : public DNNLMatMulPrimitiveHandler { |
| 103 | public: |
| 104 | enum class QuantizationStrategy { PER_TOKEN, PER_TENSOR, PER_OUTPUT_CHANNEL }; |
| 105 | |
| 106 | struct Args : public DNNLMatMulPrimitiveHandler::Args { |
| 107 | bool use_a_zero_point; |
| 108 | QuantizationStrategy a_quantization_strategy; |
| 109 | QuantizationStrategy b_quantization_strategy; |
| 110 | float* b_scales_ptr; |
| 111 | }; |
| 112 | |
| 113 | struct ClassMatmulCacheKey { |
| 114 | dnnl_dim_t b_n_size; |
| 115 | dnnl_dim_t b_k_size; |
| 116 | QuantizationStrategy a_qs; |
| 117 | QuantizationStrategy b_qs; |
| 118 | bool use_azp; |
| 119 | dnnl::memory::data_type c_type; |
| 120 | |
| 121 | friend bool operator==(const ClassMatmulCacheKey& l, |
| 122 | const ClassMatmulCacheKey& r); |
| 123 | }; |
| 124 | |
| 125 | struct MSizeCacheKey { |
| 126 | dnnl_dim_t a_m_size; |
| 127 | bool use_bias; |
| 128 | dnnl::memory::data_type bias_type; |
| 129 | |
| 130 | friend bool operator==(const MSizeCacheKey& l, const MSizeCacheKey& r); |
| 131 | }; |
| 132 | |
| 133 | using MSizeCache = DNNLPrimitiveCache<MSizeCacheKey, dnnl::matmul>; |
| 134 | using ClassMatmulCache = |
| 135 | DNNLPrimitiveCache<ClassMatmulCacheKey, std::shared_ptr<MSizeCache>>; |
| 136 | |
| 137 | struct ExecArgs : public MSizeCacheKey { |
| 138 | const int8_t* a_ptr; |
| 139 | const float* a_scales_ptr; |
| 140 | const int32_t* a_zero_points_ptr; |
| 141 | const void* bias_ptr; |
| 142 | void* c_ptr; |
| 143 | }; |
| 144 | |
| 145 | public: |
| 146 | W8A8MatMulPrimitiveHandler(const Args& args); |
| 147 | |
| 148 | QuantizationStrategy get_input_scale_strategy() const { return a_qs_; } |
| 149 | |
| 150 | bool get_input_use_zero_point() const { return use_azp_; } |
| 151 | |
| 152 | void execute(ExecArgs& args); |
| 153 | |
| 154 | private: |
| 155 | dnnl::matmul::primitive_desc create_primitive_desc(const MSizeCacheKey& key, |
| 156 | bool first_time); |
| 157 | |
| 158 | void init_runtime_memory_cache(const Args& args); |
| 159 | |
| 160 | dnnl::matmul get_matmul_cache(const MSizeCacheKey& key); |
| 161 | |
| 162 | private: |
| 163 | const bool use_azp_; |
| 164 | const QuantizationStrategy a_qs_; |
| 165 | const QuantizationStrategy b_qs_; |
| 166 | std::shared_ptr<MSizeCache> m_size_cache_; |
| 167 | }; |
| 168 | |
| 169 | class MatMulPrimitiveHandler : public DNNLMatMulPrimitiveHandler { |
| 170 | public: |
| 171 | struct Args : public DNNLMatMulPrimitiveHandler::Args { |
| 172 | dnnl::memory::data_type ab_type; |
| 173 | }; |
| 174 | |
| 175 | struct ClassMatmulCacheKey { |
| 176 | dnnl_dim_t b_n_size; |
| 177 | dnnl_dim_t b_k_size; |
| 178 | dnnl::memory::data_type b_type; |
| 179 | dnnl::memory::data_type c_type; |
| 180 | |
| 181 | friend bool operator==(const ClassMatmulCacheKey& l, |
| 182 | const ClassMatmulCacheKey& r); |
| 183 | }; |
| 184 | |
| 185 | struct MSizeCacheKey { |
| 186 | dnnl_dim_t a_m_size; |
| 187 | dnnl_dim_t a_m_stride; |
| 188 | bool use_bias; |
| 189 | dnnl::memory::data_type bias_type; |
| 190 | |
| 191 | friend bool operator==(const MSizeCacheKey& l, const MSizeCacheKey& r); |
| 192 | }; |
| 193 | |
| 194 | using MSizeCache = DNNLPrimitiveCache<MSizeCacheKey, dnnl::matmul>; |
| 195 | using ClassMatmulCache = |
| 196 | DNNLPrimitiveCache<ClassMatmulCacheKey, std::shared_ptr<MSizeCache>>; |
| 197 | |
| 198 | struct ExecArgs : public MSizeCacheKey { |
| 199 | const void* a_ptr; |
| 200 | const void* bias_ptr; |
| 201 | void* c_ptr; |
| 202 | }; |
| 203 | |
| 204 | public: |
| 205 | MatMulPrimitiveHandler(const Args& args); |
| 206 | |
| 207 | dnnl::memory::data_type get_output_type() const { return c_type_; } |
| 208 | |
| 209 | void execute(ExecArgs& args); |
| 210 | |
| 211 | private: |
| 212 | dnnl::matmul::primitive_desc create_primitive_desc(const MSizeCacheKey& key, |
| 213 | bool first_time); |
| 214 | |
| 215 | void init_runtime_memory_cache(const Args& args); |
| 216 | |
| 217 | dnnl::matmul get_matmul_cache(const MSizeCacheKey& key); |
| 218 | |
| 219 | private: |
| 220 | std::shared_ptr<MSizeCache> m_size_cache_; |
| 221 | }; |
| 222 | |
| 223 | #endif |