| 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 "memory_desc_wrapper.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 softmax_desc_init(softmax_desc_t *softmax_desc, prop_kind_t prop_kind, |
| 33 | const memory_desc_t *data_desc, const memory_desc_t *diff_desc, int softmax_axis) { |
| 34 | bool args_ok = true |
| 35 | && !any_null(softmax_desc, data_desc) |
| 36 | && 0 <= softmax_axis |
| 37 | && softmax_axis < data_desc->ndims; |
| 38 | if (!args_ok) return invalid_arguments; |
| 39 | |
| 40 | auto sd = softmax_desc_t(); |
| 41 | sd.primitive_kind = primitive_kind::softmax; |
| 42 | sd.prop_kind = prop_kind; |
| 43 | |
| 44 | bool is_bwd = (sd.prop_kind == backward_data); |
| 45 | sd.data_desc = *data_desc; |
| 46 | sd.diff_desc = is_bwd ? *diff_desc : zero_md(); |
| 47 | sd.softmax_axis = softmax_axis; |
| 48 | |
| 49 | *softmax_desc = sd; |
| 50 | return success; |
| 51 | } |
| 52 | } |
| 53 | |
| 54 | status_t mkldnn_softmax_forward_desc_init(softmax_desc_t *softmax_desc, |
| 55 | prop_kind_t prop_kind, const memory_desc_t *data_desc, |
| 56 | int softmax_axis) { |
| 57 | if (!one_of(prop_kind, forward_inference, forward_training)) |
| 58 | return invalid_arguments; |
| 59 | return softmax_desc_init(softmax_desc, prop_kind, data_desc, nullptr, softmax_axis); |
| 60 | } |
| 61 | |
| 62 | status_t mkldnn_softmax_backward_desc_init(softmax_desc_t *softmax_desc, |
| 63 | const memory_desc_t *diff_desc, const mkldnn_memory_desc_t *data_desc, |
| 64 | int softmax_axis) { |
| 65 | return softmax_desc_init(softmax_desc, prop_kind::backward_data, |
| 66 | data_desc, diff_desc, softmax_axis); |
| 67 | } |
| 68 | // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s |
| 69 | |