| 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::alg_kind; |
| 29 | using namespace mkldnn::impl::types; |
| 30 | |
| 31 | namespace { |
| 32 | status_t eltwise_desc_init(eltwise_desc_t *eltwise_desc, prop_kind_t prop_kind, |
| 33 | alg_kind_t alg_kind, const memory_desc_t *data_desc, |
| 34 | const memory_desc_t *diff_data_desc, float alpha, float beta) { |
| 35 | bool args_ok = true |
| 36 | && !any_null(eltwise_desc, data_desc) |
| 37 | && one_of(prop_kind, forward_training, forward_inference, |
| 38 | backward_data) |
| 39 | && one_of(alg_kind, eltwise_relu, eltwise_tanh, eltwise_elu, |
| 40 | eltwise_square, eltwise_abs, eltwise_sqrt, eltwise_linear, |
| 41 | eltwise_bounded_relu, eltwise_soft_relu, eltwise_logistic) |
| 42 | && IMPLICATION(prop_kind == backward_data, diff_data_desc != nullptr); |
| 43 | if (!args_ok) return invalid_arguments; |
| 44 | |
| 45 | auto ed = eltwise_desc_t(); |
| 46 | ed.primitive_kind = primitive_kind::eltwise; |
| 47 | ed.prop_kind = prop_kind; |
| 48 | ed.alg_kind = alg_kind; |
| 49 | |
| 50 | ed.data_desc = *data_desc; |
| 51 | ed.diff_data_desc = |
| 52 | (ed.prop_kind == backward_data) ? *diff_data_desc : zero_md(); |
| 53 | |
| 54 | ed.alpha = alpha; |
| 55 | ed.beta = beta; |
| 56 | |
| 57 | bool consistency = true |
| 58 | && IMPLICATION(ed.prop_kind == backward_data, |
| 59 | array_cmp(ed.diff_data_desc.dims, ed.data_desc.dims, |
| 60 | ed.diff_data_desc.ndims)); |
| 61 | if (!consistency) return invalid_arguments; |
| 62 | |
| 63 | *eltwise_desc = ed; |
| 64 | return success; |
| 65 | } |
| 66 | } |
| 67 | |
| 68 | status_t mkldnn_eltwise_forward_desc_init(eltwise_desc_t *eltwise_desc, |
| 69 | prop_kind_t prop_kind, alg_kind_t alg_kind, |
| 70 | const memory_desc_t *data_desc, float alpha, float beta) { |
| 71 | if (!one_of(prop_kind, forward_training, forward_inference)) |
| 72 | return invalid_arguments; |
| 73 | return eltwise_desc_init(eltwise_desc, prop_kind, alg_kind, data_desc, |
| 74 | nullptr, alpha, beta); |
| 75 | } |
| 76 | |
| 77 | status_t mkldnn_eltwise_backward_desc_init(eltwise_desc_t *eltwise_desc, |
| 78 | alg_kind_t alg_kind, const memory_desc_t *diff_data_desc, |
| 79 | const memory_desc_t *data_desc, float alpha, float beta) { |
| 80 | return eltwise_desc_init(eltwise_desc, backward_data, alg_kind, data_desc, |
| 81 | diff_data_desc, alpha, beta); |
| 82 | } |
| 83 | |
| 84 | // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s |
| 85 | |