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#include <assert.h>
18#include "mkldnn.h"
19
20#include "c_types_map.hpp"
21#include "type_helpers.hpp"
22#include "utils.hpp"
23
24using namespace mkldnn::impl;
25using namespace mkldnn::impl::utils;
26using namespace mkldnn::impl::status;
27using namespace mkldnn::impl::prop_kind;
28using namespace mkldnn::impl::types;
29
30namespace {
31status_t shuffle_desc_init(shuffle_desc_t *shuffle_desc, prop_kind_t prop_kind,
32 const memory_desc_t *data_desc, int axis, dim_t group_size) {
33 bool args_ok = true
34 && !any_null(shuffle_desc, data_desc)
35 && one_of(prop_kind, forward_training, forward_inference,
36 backward, backward_data)
37 && axis >= 0 && axis < data_desc->ndims
38 && group_size > 0 && group_size <= data_desc->dims[axis];
39 if (!args_ok) return invalid_arguments;
40
41 auto sd = shuffle_desc_t();
42 sd.primitive_kind = primitive_kind::shuffle;
43 sd.prop_kind = prop_kind;
44 sd.data_desc = *data_desc;
45 sd.axis = axis;
46 sd.group_size = group_size;
47
48 bool consistency = true
49 && sd.data_desc.dims[axis] % sd.group_size == 0;
50 if (!consistency) return invalid_arguments;
51
52 *shuffle_desc = sd;
53 return success;
54}
55}
56
57status_t mkldnn_shuffle_forward_desc_init(shuffle_desc_t *shuffle_desc,
58 prop_kind_t prop_kind, const memory_desc_t *data_desc, int axis,
59 dim_t group_size) {
60 if (!one_of(prop_kind, forward_training, forward_inference))
61 return invalid_arguments;
62 return shuffle_desc_init(shuffle_desc, prop_kind, data_desc, axis,
63 group_size);
64}
65
66status_t mkldnn_shuffle_backward_desc_init(shuffle_desc_t *shuffle_desc,
67 const memory_desc_t *diff_data_desc, int axis, dim_t group_size) {
68 return shuffle_desc_init(shuffle_desc, backward_data, diff_data_desc, axis,
69 group_size);
70}
71
72// vim: et ts=5 sw=4 cindent cino^=l0,\:0,N-s
73