1 | /******************************************************************************* |
2 | * Copyright 2021-2022 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 GPU_OCL_GEN9_GLOBAL_POOLING_HPP |
18 | #define GPU_OCL_GEN9_GLOBAL_POOLING_HPP |
19 | |
20 | #include "common/c_types_map.hpp" |
21 | #include "common/primitive.hpp" |
22 | #include "gpu/compute/compute.hpp" |
23 | #include "gpu/gpu_pooling_pd.hpp" |
24 | #include "gpu/gpu_primitive.hpp" |
25 | #include "gpu/gpu_resource.hpp" |
26 | #include "gpu/ocl/ocl_stream.hpp" |
27 | #include "gpu/ocl/ocl_utils.hpp" |
28 | #include "gpu/primitive_conf.hpp" |
29 | |
30 | namespace dnnl { |
31 | namespace impl { |
32 | namespace gpu { |
33 | namespace ocl { |
34 | |
35 | struct gen9_global_pooling_fwd_t : public gpu_primitive_t { |
36 | using gpu_primitive_t::gpu_primitive_t; |
37 | struct pd_t : public gpu_pooling_fwd_pd_t { |
38 | pd_t(const pooling_desc_t *adesc, const primitive_attr_t *attr, |
39 | const pooling_fwd_pd_t *hint_fwd_pd) |
40 | : gpu_pooling_fwd_pd_t(adesc, attr, hint_fwd_pd) {} |
41 | |
42 | DECLARE_COMMON_PD_T("ocl:gen9_global:any" , gen9_global_pooling_fwd_t); |
43 | |
44 | status_t init(engine_t *engine) { |
45 | using namespace data_type; |
46 | using namespace prop_kind; |
47 | using namespace alg_kind; |
48 | |
49 | bool ok = set_default_params() == status::success |
50 | && utils::one_of(desc()->prop_kind, forward_training, |
51 | forward_inference) |
52 | && utils::one_of(desc()->alg_kind, pooling_max, |
53 | pooling_avg_include_padding, |
54 | pooling_avg_exclude_padding) |
55 | && (utils::everyone_is(data_type::f32, src_md()->data_type, |
56 | dst_md()->data_type) |
57 | || utils::everyone_is(data_type::bf16, |
58 | src_md()->data_type, dst_md()->data_type)) |
59 | && attr()->has_default_values(); |
60 | if (!ok) return status::unimplemented; |
61 | |
62 | bool is_training = desc_.prop_kind == forward_training; |
63 | if (desc()->alg_kind == pooling_max && is_training) |
64 | init_default_ws(s32); |
65 | |
66 | return init_conf(engine); |
67 | } |
68 | |
69 | status_t init_conf(engine_t *engine); |
70 | status_t init_kernel_ctx(compute::kernel_ctx_t &kernel_ctx) const; |
71 | |
72 | pool_conf_t conf; |
73 | offsets_t off; |
74 | }; |
75 | |
76 | status_t init(engine_t *engine) override { |
77 | compute::kernel_ctx_t kernel_ctx; |
78 | status_t status = pd()->init_kernel_ctx(kernel_ctx); |
79 | CHECK(status); |
80 | |
81 | create_kernel(engine, &kernel_, "gen9_global_pooling_fwd" , kernel_ctx); |
82 | if (!kernel_) return status::runtime_error; |
83 | |
84 | return status::success; |
85 | } |
86 | |
87 | status_t execute(const exec_ctx_t &ctx) const override { |
88 | return execute_forward(ctx); |
89 | } |
90 | |
91 | private: |
92 | status_t execute_forward(const exec_ctx_t &ctx) const; |
93 | const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); } |
94 | compute::kernel_t kernel_; |
95 | }; |
96 | |
97 | struct gen9_global_pooling_bwd_t : public gpu_primitive_t { |
98 | using gpu_primitive_t::gpu_primitive_t; |
99 | struct pd_t : public gpu_pooling_bwd_pd_t { |
100 | pd_t(const pooling_desc_t *adesc, const primitive_attr_t *attr, |
101 | const pooling_fwd_pd_t *hint_fwd_pd) |
102 | : gpu_pooling_bwd_pd_t(adesc, attr, hint_fwd_pd) {} |
103 | |
104 | DECLARE_COMMON_PD_T("ocl:gen9_global:any" , gen9_global_pooling_bwd_t); |
105 | |
106 | status_t init(engine_t *engine) { |
107 | using namespace prop_kind; |
108 | using namespace alg_kind; |
109 | |
110 | bool ok = set_default_params() == status::success |
111 | && utils::one_of(desc()->prop_kind, backward_data) |
112 | && utils::one_of(desc()->alg_kind, pooling_max, |
113 | pooling_avg_include_padding, |
114 | pooling_avg_exclude_padding) |
115 | && (utils::everyone_is(data_type::f32, |
116 | diff_dst_md()->data_type, |
117 | diff_src_md()->data_type) |
118 | || utils::everyone_is(data_type::bf16, |
119 | diff_dst_md()->data_type, |
120 | diff_src_md()->data_type)) |
121 | && attr()->has_default_values(); |
122 | if (!ok) return status::unimplemented; |
123 | |
124 | if (desc()->alg_kind == pooling_max) { |
125 | init_default_ws(data_type::s32); |
126 | if (!compare_ws(hint_fwd_pd_)) return status::unimplemented; |
127 | } |
128 | |
129 | return init_conf(engine); |
130 | } |
131 | |
132 | status_t init_conf(engine_t *engine); |
133 | status_t init_kernel_ctx(compute::kernel_ctx_t &kernel_ctx) const; |
134 | |
135 | pool_conf_t conf; |
136 | offsets_t off; |
137 | }; |
138 | |
139 | status_t init(engine_t *engine) override { |
140 | compute::kernel_ctx_t kernel_ctx; |
141 | status_t status = pd()->init_kernel_ctx(kernel_ctx); |
142 | CHECK(status); |
143 | |
144 | create_kernel(engine, &kernel_, "gen9_global_pooling_bwd" , kernel_ctx); |
145 | if (!kernel_) return status::runtime_error; |
146 | |
147 | return status::success; |
148 | } |
149 | |
150 | status_t execute(const exec_ctx_t &ctx) const override { |
151 | return execute_backward(ctx); |
152 | } |
153 | |
154 | private: |
155 | status_t execute_backward(const exec_ctx_t &ctx) const; |
156 | const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); } |
157 | compute::kernel_t kernel_; |
158 | }; |
159 | |
160 | } // namespace ocl |
161 | } // namespace gpu |
162 | } // namespace impl |
163 | } // namespace dnnl |
164 | |
165 | #endif |
166 | |