| 100 | """ |
| 101 | |
| 102 | def __init__(self, model, eval_dataset, ppl_metric, validation_loss, print_per_step=250, has_trained_step=0, |
| 103 | local_rank=0, rank_size=1, tb_writer=None, lang=None): |
| 104 | super(EvalCallBack, self).__init__() |
| 105 | if not isinstance(print_per_step, int) or print_per_step < 0: |
| 106 | raise ValueError("print_per_step must be int and >= 0.") |
| 107 | self.print_per_step = print_per_step |
| 108 | self.model = model |
| 109 | self.eval_dataset = eval_dataset |
| 110 | self.pplMetric = ppl_metric |
| 111 | self.validation_loss = validation_loss |
| 112 | self.has_trained_step = has_trained_step |
| 113 | self.local_rank = local_rank |
| 114 | self.rank_size = rank_size |
| 115 | self.pplMetric.clear() |
| 116 | self.validation_loss.clear() |
| 117 | self.parallel_mode = context.get_auto_parallel_context("parallel_mode") |
| 118 | self.strategy_ckpt_save_file = context.get_auto_parallel_context("strategy_ckpt_save_file") |
| 119 | self.strategy_ckpt_load_file = context.get_auto_parallel_context("strategy_ckpt_load_file") |
| 120 | self.summary_writer = tb_writer |
| 121 | self.lang = lang |
| 122 | |
| 123 | def step_end(self, run_context): |
| 124 | """ |