Update metrics names (#85)
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@ -24,29 +24,22 @@ def before_train(trainer):
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output_uri=True,
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reuse_last_task_id=False,
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auto_connect_frameworks={'pytorch': False})
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task.connect(trainer.args, name='parameters')
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task.connect(dict(trainer.args), name='General')
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def on_batch_end(trainer):
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train_loss = trainer.tloss
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_log_scalers(trainer.label_loss_items(train_loss), "train", trainer.epoch)
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_log_scalers(trainer.label_loss_items(trainer.tloss, prefix="train"), "train", trainer.epoch)
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def on_val_end(trainer):
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metrics = trainer.metrics
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val_losses = trainer.validator.loss
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val_loss_dict = trainer.label_loss_items(val_losses)
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_log_scalers(val_loss_dict, "val", trainer.epoch)
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_log_scalers(metrics, "metrics", trainer.epoch)
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_log_scalers(trainer.label_loss_items(trainer.validator.loss, prefix="val"), "val", trainer.epoch)
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_log_scalers({k: v for k, v in trainer.metrics.items() if k.startswith("metrics")}, "metrics", trainer.epoch)
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if trainer.epoch == 0:
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infer_speed = trainer.validator.speed[1]
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model_info = {
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"inference_speed": infer_speed,
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"inference_speed": trainer.validator.speed[1],
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"flops@640": get_flops(trainer.model),
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"params": get_num_params(trainer.model)}
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_log_scalers(model_info, "model")
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Task.current_task().connect(model_info, 'Model')
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def on_train_end(trainer):
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