(self, opt)
| 113 | """ |
| 114 | |
| 115 | def __init__(self, opt): |
| 116 | import torch |
| 117 | from onmt.translate.translator import build_translator |
| 118 | |
| 119 | super().__init__(opt) |
| 120 | self.opt = opt |
| 121 | self.logger = init_logger(opt.log_file) |
| 122 | |
| 123 | if opt.world_size > 1: |
| 124 | mp = torch.multiprocessing.get_context("spawn") |
| 125 | # Create a thread to listen for errors in the child processes. |
| 126 | self.error_queue = mp.SimpleQueue() |
| 127 | self.error_handler = ErrorHandler(self.error_queue) |
| 128 | self.queue_instruct = [] |
| 129 | self.queue_result = [] |
| 130 | self.procs = [] |
| 131 | |
| 132 | for device_id in range(opt.world_size): |
| 133 | self.queue_instruct.append(mp.Queue()) |
| 134 | self.queue_result.append(mp.Queue()) |
| 135 | self.procs.append( |
| 136 | mp.Process( |
| 137 | target=spawned_infer, |
| 138 | args=( |
| 139 | opt, |
| 140 | device_id, |
| 141 | self.error_queue, |
| 142 | self.queue_instruct[device_id], |
| 143 | self.queue_result[device_id], |
| 144 | ), |
| 145 | daemon=False, |
| 146 | ) |
| 147 | ) |
| 148 | self.procs[device_id].start() |
| 149 | self.error_handler.add_child(self.procs[device_id].pid) |
| 150 | else: |
| 151 | self.device_id = opt.gpu |
| 152 | self.translator = build_translator( |
| 153 | opt, self.device_id, logger=self.logger, report_score=True |
| 154 | ) |
| 155 | self.transforms_cls = get_transforms_cls(opt._all_transform) |
| 156 | self.vocabs = self.translator.vocabs |
| 157 | |
| 158 | def _translate(self, infer_iter): |
| 159 | scores, preds = self.translator._translate( |
nothing calls this directly
no test coverage detected