1/*******************************************************************************
2* Copyright 2018 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 SHUFFLE_PD_HPP
18#define SHUFFLE_PD_HPP
19
20#include "mkldnn.h"
21
22#include "c_types_map.hpp"
23#include "primitive_desc.hpp"
24
25namespace mkldnn {
26namespace impl {
27
28struct shuffle_pd_t: public primitive_desc_t {
29 static constexpr auto base_pkind = primitive_kind::shuffle;
30
31 typedef shuffle_pd_t base_class;
32 typedef shuffle_pd_t hint_class;
33
34 shuffle_pd_t(engine_t *engine,
35 const shuffle_desc_t *adesc,
36 const primitive_attr_t *attr,
37 const shuffle_pd_t *hint_fwd_pd)
38 : primitive_desc_t(engine, attr, base_pkind)
39 , desc_(*adesc)
40 , hint_fwd_pd_(hint_fwd_pd)
41 , data_md_(desc_.data_desc)
42 {}
43
44 const shuffle_desc_t *desc() const { return &desc_; }
45 virtual const op_desc_t *op_desc() const override
46 { return reinterpret_cast<const op_desc_t *>(this->desc()); }
47 virtual void init_info() override { impl::init_info(this, this->info_); }
48
49 virtual status_t query(query_t what, int idx, void *result) const override {
50 switch (what) {
51 case query::shuffle_d:
52 *(const shuffle_desc_t**)result = desc(); break;
53 default: return primitive_desc_t::query(what, idx, result);
54 }
55 return status::success;
56 }
57
58 virtual arg_usage_t arg_usage(primitive_arg_index_t arg) const override {
59 if (is_fwd()) {
60 if (arg == MKLDNN_ARG_SRC)
61 return arg_usage_t::input;
62
63 if (arg == MKLDNN_ARG_DST)
64 return arg_usage_t::output;
65 } else {
66 if (arg == MKLDNN_ARG_DIFF_DST)
67 return arg_usage_t::input;
68
69 if (arg == MKLDNN_ARG_DIFF_SRC)
70 return arg_usage_t::output;
71 }
72
73 return primitive_desc_t::arg_usage(arg);
74 }
75
76 virtual const memory_desc_t *src_md(int index = 0) const override
77 { return index == 0 && is_fwd() ? &data_md_ : nullptr; }
78 virtual const memory_desc_t *dst_md(int index = 0) const override
79 { return index == 0 && is_fwd() ? &data_md_ : nullptr; }
80
81 virtual const memory_desc_t *diff_src_md(int index = 0) const override
82 { return index == 0 && !is_fwd() ? &data_md_ : nullptr; }
83 virtual const memory_desc_t *diff_dst_md(int index = 0) const override
84 { return index == 0 && !is_fwd() ? &data_md_ : nullptr; }
85
86 virtual int n_inputs() const override { return 1; }
87 virtual int n_outputs() const override { return 1; }
88
89 /* shuffle aux functions */
90
91 dim_t MB() const { return data_md()->dims[0]; }
92 dim_t C() const { return ndims() >= 2 ? data_md()->dims[1] : 1; }
93 dim_t D() const { return ndims() >= 5 ? data_md()->dims[ndims() - 3] : 1; }
94 dim_t H() const { return ndims() >= 4 ? data_md()->dims[ndims() - 2] : 1; }
95 dim_t W() const { return ndims() >= 3 ? data_md()->dims[ndims() - 1] : 1; }
96
97 int ndims() const { return data_md()->ndims; }
98
99 int axis() const { return desc_.axis; }
100 dim_t group_size() const { return desc_.group_size; }
101 dim_t axis_size() const { return data_md()->dims[axis()]; }
102
103 bool is_fwd() const {
104 return utils::one_of(desc_.prop_kind, prop_kind::forward_training,
105 prop_kind::forward_inference);
106 }
107
108 const memory_desc_t *data_md() const { return &data_md_; }
109
110protected:
111 shuffle_desc_t desc_;
112 const shuffle_pd_t *hint_fwd_pd_;
113 memory_desc_t data_md_;
114};
115
116}
117}
118
119#endif
120
121// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s
122