1/*******************************************************************************
2* Copyright 2016-2022 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_X64_JIT_AVX512_COMMON_CONVOLUTION_HPP
18#define CPU_X64_JIT_AVX512_COMMON_CONVOLUTION_HPP
19
20#include "common/c_types_map.hpp"
21#include "common/dnnl_thread.hpp"
22#include "common/memory_tracking.hpp"
23#include "common/primitive.hpp"
24#include "common/utils.hpp"
25
26#include "cpu/cpu_convolution_pd.hpp"
27#include "cpu/x64/cpu_barrier.hpp"
28#include "cpu/x64/cpu_reducer.hpp"
29
30#include "cpu/x64/jit_avx512_common_conv_kernel.hpp"
31#include "cpu/x64/jit_transpose_utils.hpp"
32
33namespace dnnl {
34namespace impl {
35namespace cpu {
36namespace x64 {
37
38template <impl::data_type_t src_type, impl::data_type_t wei_type = src_type,
39 impl::data_type_t dst_type = src_type>
40struct jit_avx512_common_convolution_fwd_t : public primitive_t {
41 struct pd_t : public cpu_convolution_fwd_pd_t {
42 pd_t(const convolution_desc_t *adesc, const primitive_attr_t *attr,
43 const typename pd_t::base_class *hint_fwd_pd)
44 : cpu_convolution_fwd_pd_t(adesc, attr, hint_fwd_pd), jcp_() {}
45
46 DECLARE_COMMON_PD_T(JIT_IMPL_NAME_HELPER("jit:", avx512_core, ""),
47 jit_avx512_common_convolution_fwd_t);
48
49 status_t init(engine_t *engine) {
50 bool ok = true && is_fwd()
51 && set_default_alg_kind(alg_kind::convolution_direct)
52 && expect_data_types(src_type, wei_type, dst_type, dst_type,
53 data_type::undef)
54 && attr()->has_default_values(
55 primitive_attr_t::skip_mask_t::post_ops, dst_type)
56 && !has_zero_dim_memory();
57 if (!ok) return status::unimplemented;
58
59 CHECK(jit_avx512_common_conv_fwd_kernel::init_conf(jcp_, *desc(),
60 src_md_, weights_md_, dst_md_, bias_md_, attr_,
61 dnnl_get_max_threads()));
62
63 auto scratchpad = scratchpad_registry().registrar();
64 jit_avx512_common_conv_fwd_kernel::init_scratchpad(
65 scratchpad, jcp_);
66
67 return status::success;
68 }
69
70 jit_conv_conf_t jcp_;
71 };
72
73 jit_avx512_common_convolution_fwd_t(const pd_t *apd) : primitive_t(apd) {}
74
75 typedef typename prec_traits<src_type>::type src_data_t;
76 typedef typename prec_traits<wei_type>::type wei_data_t;
77 typedef typename prec_traits<dst_type>::type dst_data_t;
78
79 status_t init(engine_t *engine) override {
80 CHECK(safe_ptr_assign(kernel_,
81 new jit_avx512_common_conv_fwd_kernel(
82 pd()->jcp_, *pd()->attr(), *pd()->dst_md(0))));
83 return kernel_->create_kernel();
84 }
85
86 status_t execute(const exec_ctx_t &ctx) const override {
87 if (pd()->ndims() == 3)
88 execute_forward_1d(ctx);
89 else if (pd()->ndims() == 4)
90 execute_forward_2d(ctx);
91 else if (pd()->ndims() == 5)
92 execute_forward_3d(ctx);
93 else
94 assert(false);
95
96 if (pd()->wants_zero_pad_dst()) ctx.zero_pad_output(DNNL_ARG_DST);
97 return status::success;
98 }
99
100private:
101 void prepare_padded_bias(const dst_data_t *&bias,
102 const memory_tracking::grantor_t &scratchpad) const;
103 void execute_forward_1d(const exec_ctx_t &ctx) const;
104 void execute_forward_2d(const exec_ctx_t &ctx) const;
105 void execute_forward_3d(const exec_ctx_t &ctx) const;
106 const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }
107
108 std::unique_ptr<jit_avx512_common_conv_fwd_kernel> kernel_;
109};
110
111template <impl::data_type_t diff_dst_type,
112 impl::data_type_t wei_type = diff_dst_type,
113 impl::data_type_t diff_src_type = diff_dst_type>
114struct jit_avx512_common_convolution_bwd_data_t : public primitive_t {
115 struct pd_t : public cpu_convolution_bwd_data_pd_t {
116 pd_t(const convolution_desc_t *adesc, const primitive_attr_t *attr,
117 const convolution_fwd_pd_t *hint_fwd_pd)
118 : cpu_convolution_bwd_data_pd_t(adesc, attr, hint_fwd_pd), jcp_() {}
119
120 DECLARE_COMMON_PD_T(JIT_IMPL_NAME_HELPER("jit:", avx512_core, ""),
121 jit_avx512_common_convolution_bwd_data_t);
122
123 status_t init(engine_t *engine) {
124 bool ok = true && desc()->prop_kind == prop_kind::backward_data
125 && set_default_alg_kind(alg_kind::convolution_direct)
126 && expect_data_types(diff_src_type, wei_type,
127 data_type::undef, diff_dst_type, data_type::undef)
128 && attr()->has_default_values() && !has_zero_dim_memory();
129 if (!ok) return status::unimplemented;
130
131 status_t status
132 = jit_avx512_common_conv_bwd_data_kernel_f32::init_conf(
133 jcp_, *desc(), diff_src_md_, weights_md_,
134 diff_dst_md_, dnnl_get_max_threads());
135 if (status != status::success) return status;
136
137 auto scratchpad = scratchpad_registry().registrar();
138 jit_avx512_common_conv_bwd_data_kernel_f32::init_scratchpad(
139 scratchpad, jcp_);
140
141 return status::success;
142 }
143
144 jit_conv_conf_t jcp_;
145 };
146
147 jit_avx512_common_convolution_bwd_data_t(const pd_t *apd)
148 : primitive_t(apd) {}
149
150 typedef typename prec_traits<diff_dst_type>::type diff_dst_data_t;
151 typedef typename prec_traits<wei_type>::type wei_data_t;
152 typedef typename prec_traits<diff_src_type>::type diff_src_data_t;
153
154 status_t init(engine_t *engine) override {
155 CHECK(safe_ptr_assign(kernel_,
156 new jit_avx512_common_conv_bwd_data_kernel_f32(pd()->jcp_)));
157 return kernel_->create_kernel();
158 }
159
160 status_t execute(const exec_ctx_t &ctx) const override {
161 if (pd()->ndims() == 3)
162 execute_backward_data_1d(ctx);
163 else if (pd()->ndims() == 4)
164 execute_backward_data_2d(ctx);
165 else if (pd()->ndims() == 5)
166 execute_backward_data_3d(ctx);
167 else
168 assert(false);
169 return status::success;
170 }
171
172private:
173 void execute_backward_data_1d(const exec_ctx_t &ctx) const;
174 void execute_backward_data_2d(const exec_ctx_t &ctx) const;
175 void execute_backward_data_3d(const exec_ctx_t &ctx) const;
176 const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }
177
178 std::unique_ptr<jit_avx512_common_conv_bwd_data_kernel_f32> kernel_;
179};
180
181template <impl::data_type_t src_type,
182 impl::data_type_t diff_dst_type = src_type,
183 impl::data_type_t diff_weights_type = src_type>
184struct jit_avx512_common_convolution_bwd_weights_t : public primitive_t {
185 struct pd_t : public cpu_convolution_bwd_weights_pd_t {
186 pd_t(const convolution_desc_t *adesc, const primitive_attr_t *attr,
187 const convolution_fwd_pd_t *hint_fwd_pd)
188 : cpu_convolution_bwd_weights_pd_t(adesc, attr, hint_fwd_pd)
189 , jcp_() {}
190
191 DECLARE_COMMON_PD_T(JIT_IMPL_NAME_HELPER("jit:", avx512_core, ""),
192 jit_avx512_common_convolution_bwd_weights_t);
193
194 status_t init(engine_t *engine) {
195 bool ok = true && desc()->prop_kind == prop_kind::backward_weights
196 && set_default_alg_kind(alg_kind::convolution_direct)
197 && expect_data_types(src_type, diff_weights_type,
198 diff_weights_type, diff_dst_type, data_type::undef)
199 && attr()->has_default_values() && !has_zero_dim_memory();
200 if (!ok) return status::unimplemented;
201
202 status_t status
203 = jit_avx512_common_conv_bwd_weights_kernel_f32::init_conf(
204 jcp_, *desc(), src_md_, diff_weights_md_,
205 diff_bias_md_, diff_dst_md_,
206 dnnl_get_max_threads());
207 if (status != status::success) return status;
208
209 init_balancers();
210
211 auto scratchpad = scratchpad_registry().registrar();
212 jit_avx512_common_conv_bwd_weights_kernel_f32::init_scratchpad(
213 scratchpad, jcp_);
214
215 auto reducer_bia_scratchpad = memory_tracking::registrar_t(
216 scratchpad, memory_tracking::names::prefix_reducer_bia);
217 reducer_bia_conf_.init_scratchpad(reducer_bia_scratchpad);
218
219 return status;
220 }
221
222 jit_conv_conf_t jcp_;
223 typename cpu_reducer_t<diff_weights_type>::conf_t reducer_bia_conf_;
224
225 private:
226 void init_balancers() {
227 const size_t max_buffer_size = jcp_.nthr * 3 * 5 * 5 * 16 * 16;
228 if (with_bias()) {
229 reducer_bia_conf_.init(reduce_balancer_t(jcp_.nthr,
230 jcp_.oc_block, jcp_.ngroups * jcp_.nb_oc, jcp_.mb,
231 max_buffer_size, true));
232 }
233 }
234 };
235
236 jit_avx512_common_convolution_bwd_weights_t(const pd_t *apd)
237 : primitive_t(apd) {}
238
239 typedef typename prec_traits<src_type>::type src_data_t;
240 typedef typename prec_traits<diff_dst_type>::type diff_dst_data_t;
241 typedef typename prec_traits<diff_weights_type>::type diff_weights_data_t;
242
243 status_t init(engine_t *engine) override;
244
245 status_t execute(const exec_ctx_t &ctx) const override {
246 execute_backward_weights(ctx);
247 return status::success;
248 }
249
250private:
251 void execute_backward_weights(const exec_ctx_t &ctx) const;
252 void prepare_scratchpad_data(const exec_ctx_t &ctx) const;
253 struct thread_info_t;
254 void compute_diff_weights_nxc(const thread_info_t *) const;
255 void compute_diff_weights(const thread_info_t *) const;
256 void compute_diff_weights_2d(const thread_info_t *) const;
257 void compute_diff_weights_3d(const thread_info_t *) const;
258 void reduce_diff_weights(const thread_info_t *) const;
259 void reduce_diff_weights_3d(const thread_info_t *) const;
260 void compute_diff_bias(const thread_info_t *) const;
261 void reduce_diff_bias(const thread_info_t *) const;
262
263 const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }
264
265 int nthr_, nthr_mb_, nthr_g_, nthr_oc_b_, nthr_ic_b_;
266
267 std::unique_ptr<jit_avx512_common_conv_bwd_weights_kernel_f32> kernel_;
268 std::unique_ptr<cpu_accumulator_1d_t<diff_weights_type>> acc_ker_;
269 std::unique_ptr<cpu_reducer_t<diff_weights_type>> reducer_bias_;
270};
271
272} // namespace x64
273} // namespace cpu
274} // namespace impl
275} // namespace dnnl
276
277#endif
278
279// vim: et ts=4 sw=4 cindent cino+=l0,\:4,N-s
280