1 | /******************************************************************************* |
2 | * Copyright 2016-2021 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_CPU_CONVOLUTION_PD_HPP |
18 | #define CPU_CPU_CONVOLUTION_PD_HPP |
19 | |
20 | #include <assert.h> |
21 | |
22 | #include "common/c_types_map.hpp" |
23 | #include "common/convolution_pd.hpp" |
24 | #include "common/type_helpers.hpp" |
25 | #include "common/utils.hpp" |
26 | #include "cpu/cpu_eltwise_pd.hpp" |
27 | #include "cpu/cpu_engine.hpp" |
28 | |
29 | namespace dnnl { |
30 | namespace impl { |
31 | namespace cpu { |
32 | |
33 | struct cpu_convolution_fwd_pd_t : public convolution_fwd_pd_t { |
34 | using convolution_fwd_pd_t::convolution_fwd_pd_t; |
35 | |
36 | bool has_padded_dst() const { |
37 | memory_desc_wrapper dst_d(&dst_md_); |
38 | return OC() != dst_d.padded_dims()[1]; |
39 | } |
40 | |
41 | bool wants_padded_bias() const { |
42 | if (!with_bias()) return false; |
43 | return has_padded_dst(); |
44 | } |
45 | |
46 | bool wants_zero_pad_dst() const { |
47 | if (!has_padded_dst()) return false; |
48 | bool is_zero_preserved = true; |
49 | const auto &po = attr()->post_ops_; |
50 | for (int i = 0; i < po.len(); i++) { |
51 | const auto &entry = po.entry_[i]; |
52 | if (entry.is_eltwise()) { |
53 | const auto &ee = entry.eltwise; |
54 | is_zero_preserved = is_zero_preserved |
55 | && cpu_eltwise_fwd_pd_t::eltwise_preserves_zero( |
56 | ee.alg, ee.alpha, ee.beta); |
57 | } |
58 | } |
59 | return !is_zero_preserved; |
60 | } |
61 | }; |
62 | |
63 | struct cpu_convolution_bwd_data_pd_t : public convolution_bwd_data_pd_t { |
64 | using convolution_bwd_data_pd_t::convolution_bwd_data_pd_t; |
65 | }; |
66 | |
67 | struct cpu_convolution_bwd_weights_pd_t : public convolution_bwd_weights_pd_t { |
68 | using convolution_bwd_weights_pd_t::convolution_bwd_weights_pd_t; |
69 | |
70 | bool wants_padded_bias() const { |
71 | if (!with_bias()) return false; |
72 | memory_desc_wrapper diff_dst_d(&diff_dst_md_); |
73 | return OC() != diff_dst_d.padded_dims()[1]; |
74 | } |
75 | }; |
76 | |
77 | } // namespace cpu |
78 | } // namespace impl |
79 | } // namespace dnnl |
80 | |
81 | #endif |
82 | |
83 | // vim: et ts=4 sw=4 cindent cino+=l0,\:4,N-s |
84 | |