1 | /******************************************************************************* |
2 | * Copyright 2019-2022 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_REF_MATMUL_HPP |
18 | #define CPU_MATMUL_REF_MATMUL_HPP |
19 | |
20 | #include <assert.h> |
21 | |
22 | #include "common/bfloat16.hpp" |
23 | #include "common/c_types_map.hpp" |
24 | #include "common/primitive.hpp" |
25 | #include "common/type_helpers.hpp" |
26 | #include "common/utils.hpp" |
27 | |
28 | #include "cpu/platform.hpp" |
29 | #include "cpu/primitive_attr_postops.hpp" |
30 | |
31 | #include "cpu/matmul/cpu_matmul_pd.hpp" |
32 | |
33 | namespace dnnl { |
34 | namespace impl { |
35 | namespace cpu { |
36 | namespace matmul { |
37 | |
38 | struct ref_matmul_t : public primitive_t { |
39 | struct pd_t : public cpu_matmul_pd_t { |
40 | using cpu_matmul_pd_t::cpu_matmul_pd_t; |
41 | |
42 | DECLARE_COMMON_PD_T("ref:any" , ref_matmul_t); |
43 | |
44 | status_t init(engine_t *engine) { |
45 | using namespace data_type; |
46 | using smask_t = primitive_attr_t::skip_mask_t; |
47 | const auto src_type = src_md(0)->data_type; |
48 | const auto wei_type = weights_md(0)->data_type; |
49 | const auto bia_type = weights_md(1)->data_type; |
50 | const auto dst_type = dst_md(0)->data_type; |
51 | |
52 | bool ok = utils::one_of(src_type, f32, bf16, f16) |
53 | && utils::one_of(wei_type, f32, bf16, f16) |
54 | && utils::one_of(dst_type, f32, bf16, f16) |
55 | && src_type == wei_type |
56 | && IMPLICATION(src_type == f32, dst_type == f32) |
57 | && IMPLICATION(src_type == bf16, |
58 | utils::one_of(dst_type, f32, bf16)) |
59 | && IMPLICATION( |
60 | src_type == f16, utils::one_of(dst_type, f32, f16)) |
61 | && IMPLICATION(with_bias(), |
62 | utils::one_of(bia_type, f32, bf16, f16) |
63 | && IMPLICATION( |
64 | src_type == f32, bia_type == f32) |
65 | && IMPLICATION(src_type == f16, |
66 | utils::one_of(bia_type, f32, f16)) |
67 | && IMPLICATION(src_type == bf16, |
68 | utils::one_of(bia_type, f32, bf16))) |
69 | && platform::has_data_type_support(src_type) |
70 | && attr()->has_default_values(smask_t::scales_runtime |
71 | | smask_t::post_ops | smask_t::sum_dt, |
72 | dst_type) |
73 | && attr_.post_ops_.check_sum_consistent_dt(dst_type) |
74 | && attr_scales_ok() && set_default_formats() |
75 | && attr_.set_default_formats(dst_md(0)) == status::success; |
76 | return ok ? status::success : status::unimplemented; |
77 | } |
78 | |
79 | private: |
80 | // scales for f32/bf16 is a way to support alpha multiplication. |
81 | bool attr_scales_ok() { |
82 | const std::vector<int> supported_args |
83 | = {DNNL_ARG_SRC, DNNL_ARG_WEIGHTS, DNNL_ARG_DST}; |
84 | bool ok = attr()->scales_.has_default_values(supported_args); |
85 | for (int arg : supported_args) { |
86 | const auto &mask = attr()->scales_.get(arg).mask_; |
87 | if (arg == DNNL_ARG_WEIGHTS) |
88 | ok = ok |
89 | && (mask == 0 |
90 | || mask == (1 << (dst_md()->ndims - 1))); |
91 | else |
92 | ok = ok && (mask == 0); |
93 | } |
94 | return ok; |
95 | } |
96 | }; |
97 | |
98 | ref_matmul_t(const pd_t *apd) : primitive_t(apd) {} |
99 | |
100 | status_t init(engine_t *engine) override { |
101 | ref_post_ops |
102 | = utils::make_unique<ref_post_ops_t>(pd()->attr()->post_ops_); |
103 | if (!ref_post_ops) return status::out_of_memory; |
104 | return status::success; |
105 | } |
106 | |
107 | status_t execute(const exec_ctx_t &ctx) const override { |
108 | return execute_ref(ctx); |
109 | } |
110 | |
111 | private: |
112 | const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); } |
113 | status_t execute_ref(const exec_ctx_t &ctx) const; |
114 | std::unique_ptr<ref_post_ops_t> ref_post_ops; |
115 | }; |
116 | |
117 | } // namespace matmul |
118 | } // namespace cpu |
119 | } // namespace impl |
120 | } // namespace dnnl |
121 | |
122 | #endif |
123 | |