1 | /******************************************************************************* |
2 | * Copyright 2019-2021 Intel Corporation |
3 | * |
4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
5 | * you may not use this file except in compliance with the License. |
6 | * You may obtain a copy of the License at |
7 | * |
8 | * http://www.apache.org/licenses/LICENSE-2.0 |
9 | * |
10 | * Unless required by applicable law or agreed to in writing, software |
11 | * distributed under the License is distributed on an "AS IS" BASIS, |
12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
13 | * See the License for the specific language governing permissions and |
14 | * limitations under the License. |
15 | *******************************************************************************/ |
16 | |
17 | #ifndef CPU_MATMUL_GEMM_F32_MATMUL_HPP |
18 | #define CPU_MATMUL_GEMM_F32_MATMUL_HPP |
19 | |
20 | #include <assert.h> |
21 | |
22 | #include "common/c_types_map.hpp" |
23 | #include "common/primitive.hpp" |
24 | #include "common/type_helpers.hpp" |
25 | |
26 | #include "cpu/gemm_inner_product_utils.hpp" |
27 | |
28 | #include "cpu/matmul/cpu_matmul_pd.hpp" |
29 | #include "cpu/matmul/gemm_based_common.hpp" |
30 | |
31 | namespace dnnl { |
32 | namespace impl { |
33 | namespace cpu { |
34 | namespace matmul { |
35 | |
36 | struct gemm_f32_matmul_t : public primitive_t { |
37 | struct pd_t : public cpu_matmul_pd_t { |
38 | using cpu_matmul_pd_t::cpu_matmul_pd_t; |
39 | |
40 | DECLARE_COMMON_PD_T("gemm:jit" , gemm_f32_matmul_t); |
41 | |
42 | status_t init(engine_t *engine); |
43 | const gemm_based::params_t ¶ms() const { return params_; } |
44 | |
45 | int nthr_; // To not exceed the limit in execute used for set up. |
46 | |
47 | private: |
48 | status_t check_and_configure_attributes(); |
49 | gemm_based::params_t params_; |
50 | }; |
51 | |
52 | gemm_f32_matmul_t(const pd_t *apd) : primitive_t(apd) {} |
53 | |
54 | status_t init(engine_t *engine) override { |
55 | if (pd()->params().has_pp_kernel_) { |
56 | const bool has_runtime_dims |
57 | = memory_desc_wrapper(pd()->dst_md()).has_runtime_dims(); |
58 | const int nthr = pd()->nthr_; |
59 | const dim_t batch = pd()->batch(); |
60 | const dim_t M = pd()->M(); |
61 | |
62 | // mb value is calculated based on work-sharing using |
63 | // balance211 in execute() |
64 | dim_t mb = DNNL_RUNTIME_DIM_VAL; |
65 | if (!has_runtime_dims && ((batch * M) % nthr == 0)) { |
66 | const dim_t m_per_thr = nstl::max<dim_t>(1, (batch * M) / nthr); |
67 | if (m_per_thr >= M && m_per_thr % M == 0) { |
68 | mb = M; |
69 | } else if (m_per_thr < M && M % m_per_thr == 0) { |
70 | mb = m_per_thr; |
71 | } |
72 | } |
73 | |
74 | const bool skip_sum = should_skip_sum_po( |
75 | pd()->dst_md() |
76 | ->data_type); // sum can be done by gemm itself |
77 | CHECK(safe_ptr_assign(pp_kernel_, |
78 | inner_product_utils::pp_kernel_t::create(pd()->N(), mb, |
79 | pd()->ldc(), &pd()->params().pp_attr_, |
80 | pd()->desc()->bias_desc.data_type, |
81 | pd()->desc()->accum_data_type, pd()->dst_md(), |
82 | skip_sum))); |
83 | return pp_kernel_->create_kernel(); |
84 | } |
85 | |
86 | return status::success; |
87 | } |
88 | |
89 | static constexpr data_type_t src_type = data_type::f32; |
90 | static constexpr data_type_t weights_type = data_type::f32; |
91 | static constexpr data_type_t dst_type = data_type::f32; |
92 | static constexpr data_type_t acc_type = data_type::f32; |
93 | |
94 | typedef typename prec_traits<src_type>::type src_data_t; |
95 | typedef typename prec_traits<weights_type>::type weights_data_t; |
96 | typedef typename prec_traits<dst_type>::type dst_data_t; |
97 | typedef typename prec_traits<acc_type>::type acc_data_t; |
98 | |
99 | status_t execute(const exec_ctx_t &ctx) const override { |
100 | return execute_ref(ctx); |
101 | } |
102 | |
103 | private: |
104 | const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); } |
105 | status_t execute_ref(const exec_ctx_t &ctx) const; |
106 | bool should_skip_sum_po(data_type_t dst_dt) const noexcept; |
107 | |
108 | std::unique_ptr<inner_product_utils::pp_kernel_t> pp_kernel_; |
109 | }; |
110 | |
111 | } // namespace matmul |
112 | } // namespace cpu |
113 | } // namespace impl |
114 | } // namespace dnnl |
115 | |
116 | #endif |
117 | |