| 1 | /******************************************************************************* |
| 2 | * Copyright 2016-2018 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 | |
| 24 | using namespace mkldnn::impl; |
| 25 | using namespace mkldnn::impl::utils; |
| 26 | using namespace mkldnn::impl::status; |
| 27 | using namespace mkldnn::impl::prop_kind; |
| 28 | using namespace mkldnn::impl::types; |
| 29 | |
| 30 | namespace { |
| 31 | status_t ip_desc_init(inner_product_desc_t *ip_desc, prop_kind_t prop_kind, |
| 32 | const memory_desc_t *src_desc, const memory_desc_t *weights_desc, |
| 33 | const memory_desc_t *bias_desc, const memory_desc_t *dst_desc) { |
| 34 | bool args_ok = !any_null(ip_desc, src_desc, weights_desc, dst_desc); |
| 35 | if (!args_ok) return invalid_arguments; |
| 36 | |
| 37 | auto id = inner_product_desc_t(); |
| 38 | id.primitive_kind = primitive_kind::inner_product; |
| 39 | id.prop_kind = prop_kind; |
| 40 | |
| 41 | id.diff_src_desc = id.src_desc = zero_md(); |
| 42 | id.diff_dst_desc = id.dst_desc = zero_md(); |
| 43 | id.diff_weights_desc = id.weights_desc = zero_md(); |
| 44 | id.diff_bias_desc = id.bias_desc = zero_md(); |
| 45 | |
| 46 | const bool is_fwd = one_of(prop_kind, forward_training, forward_inference); |
| 47 | const bool with_bias = |
| 48 | bias_desc && bias_desc->format_kind != format_kind::undef; |
| 49 | |
| 50 | (prop_kind == backward_data ? id.diff_src_desc : id.src_desc) = *src_desc; |
| 51 | (is_fwd ? id.dst_desc : id.diff_dst_desc) = *dst_desc; |
| 52 | (prop_kind == backward_weights ? id.diff_weights_desc : id.weights_desc) = |
| 53 | *weights_desc; |
| 54 | if (with_bias) |
| 55 | (prop_kind == backward_weights ? id.diff_bias_desc : id.bias_desc) = |
| 56 | *bias_desc; |
| 57 | |
| 58 | id.accum_data_type = types::default_accum_data_type(src_desc->data_type, |
| 59 | weights_desc->data_type, dst_desc->data_type, prop_kind); |
| 60 | |
| 61 | bool consistency = true |
| 62 | && memory_desc_wrapper(weights_desc).nelems() |
| 63 | && one_of(src_desc->ndims, 2, 3, 4, 5) |
| 64 | && dst_desc->ndims == 2 |
| 65 | && weights_desc->ndims == src_desc->ndims |
| 66 | && (with_bias ? bias_desc->ndims == 1 : true) |
| 67 | && (with_bias ? bias_desc->dims[0] == dst_desc->dims[1] : true) |
| 68 | && src_desc->dims[0] == dst_desc->dims[0] |
| 69 | && array_cmp(&src_desc->dims[1], &weights_desc->dims[1], |
| 70 | src_desc->ndims - 1) |
| 71 | && dst_desc->dims[1] == weights_desc->dims[0]; |
| 72 | if (!consistency) return invalid_arguments; |
| 73 | |
| 74 | *ip_desc = id; |
| 75 | return success; |
| 76 | } |
| 77 | } |
| 78 | |
| 79 | status_t mkldnn_inner_product_forward_desc_init(inner_product_desc_t *ip_desc, |
| 80 | prop_kind_t prop_kind, const memory_desc_t *src_desc, |
| 81 | const memory_desc_t *weights_desc, const memory_desc_t *bias_desc, |
| 82 | const memory_desc_t *dst_desc) { |
| 83 | if (!one_of(prop_kind, forward_training, forward_inference)) |
| 84 | return invalid_arguments; |
| 85 | return ip_desc_init(ip_desc, prop_kind, src_desc, weights_desc, bias_desc, |
| 86 | dst_desc); |
| 87 | } |
| 88 | |
| 89 | status_t mkldnn_inner_product_backward_data_desc_init( |
| 90 | inner_product_desc_t *ip_desc, const memory_desc_t *diff_src_desc, |
| 91 | const memory_desc_t *weights_desc, const memory_desc_t *diff_dst_desc) |
| 92 | { |
| 93 | return ip_desc_init(ip_desc, backward_data, diff_src_desc, weights_desc, |
| 94 | nullptr, diff_dst_desc); |
| 95 | } |
| 96 | |
| 97 | status_t mkldnn_inner_product_backward_weights_desc_init( |
| 98 | inner_product_desc_t *ip_desc, const memory_desc_t *src_desc, |
| 99 | const memory_desc_t *diff_weights_desc, |
| 100 | const memory_desc_t *diff_bias_desc, |
| 101 | const memory_desc_t *diff_dst_desc) { |
| 102 | return ip_desc_init(ip_desc, backward_weights, src_desc, diff_weights_desc, |
| 103 | diff_bias_desc, diff_dst_desc); |
| 104 | } |
| 105 | |
| 106 | // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s |
| 107 | |