| 42 | |
| 43 | template <typename Dtype> |
| 44 | void Net<Dtype>::Init(const NetParameter& in_param) { |
| 45 | // Set phase from the state. |
| 46 | phase_ = in_param.state().phase(); |
| 47 | // Filter layers based on their include/exclude rules and |
| 48 | // the current NetState. |
| 49 | NetParameter filtered_param; |
| 50 | FilterNet(in_param, &filtered_param); |
| 51 | LOG_IF(INFO, Caffe::root_solver()) |
| 52 | << "Initializing net from parameters: " << std::endl |
| 53 | << filtered_param.DebugString(); |
| 54 | // Create a copy of filtered_param with splits added where necessary. |
| 55 | NetParameter param; |
| 56 | InsertSplits(filtered_param, ¶m); |
| 57 | // Basically, build all the layers and set up their connections. |
| 58 | name_ = param.name(); |
| 59 | map<string, int> blob_name_to_idx; |
| 60 | set<string> available_blobs; |
| 61 | memory_used_ = 0; |
| 62 | // For each layer, set up its input and output |
| 63 | bottom_vecs_.resize(param.layer_size()); |
| 64 | top_vecs_.resize(param.layer_size()); |
| 65 | bottom_id_vecs_.resize(param.layer_size()); |
| 66 | param_id_vecs_.resize(param.layer_size()); |
| 67 | top_id_vecs_.resize(param.layer_size()); |
| 68 | bottom_need_backward_.resize(param.layer_size()); |
| 69 | for (int layer_id = 0; layer_id < param.layer_size(); ++layer_id) { |
| 70 | // Inherit phase from net if unset. |
| 71 | if (!param.layer(layer_id).has_phase()) { |
| 72 | param.mutable_layer(layer_id)->set_phase(phase_); |
| 73 | } |
| 74 | // Setup layer. |
| 75 | const LayerParameter& layer_param = param.layer(layer_id); |
| 76 | if (layer_param.propagate_down_size() > 0) { |
| 77 | CHECK_EQ(layer_param.propagate_down_size(), |
| 78 | layer_param.bottom_size()) |
| 79 | << "propagate_down param must be specified " |
| 80 | << "either 0 or bottom_size times "; |
| 81 | } |
| 82 | layers_.push_back(LayerRegistry<Dtype>::CreateLayer(layer_param)); |
| 83 | layer_names_.push_back(layer_param.name()); |
| 84 | LOG_IF(INFO, Caffe::root_solver()) |
| 85 | << "Creating Layer " << layer_param.name(); |
| 86 | bool need_backward = false; |
| 87 | |
| 88 | // Figure out this layer's input and output |
| 89 | for (int bottom_id = 0; bottom_id < layer_param.bottom_size(); |
| 90 | ++bottom_id) { |
| 91 | const int blob_id = AppendBottom(param, layer_id, bottom_id, |
| 92 | &available_blobs, &blob_name_to_idx); |
| 93 | // If a blob needs backward, this layer should provide it. |
| 94 | need_backward |= blob_need_backward_[blob_id]; |
| 95 | } |
| 96 | int num_top = layer_param.top_size(); |
| 97 | for (int top_id = 0; top_id < num_top; ++top_id) { |
| 98 | AppendTop(param, layer_id, top_id, &available_blobs, &blob_name_to_idx); |
| 99 | // Collect Input layer tops as Net inputs. |
| 100 | if (layer_param.type() == "Input") { |
| 101 | const int blob_id = blobs_.size() - 1; |
nothing calls this directly
no test coverage detected