global_only: ratio
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@ -13,7 +13,7 @@ runner:
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epoch: -1 # -1 stands for last epoch
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epoch: -1 # -1 stands for last epoch
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max_epochs: 5000
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max_epochs: 5000
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save_checkpoint_interval: 1
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save_checkpoint_interval: 1
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test_first: False
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test_first: True
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train:
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train:
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optimizer:
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optimizer:
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@ -34,7 +34,7 @@ class NBVReconstructionDataset(BaseDataset):
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#self.model_dir = config["model_dir"]
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#self.model_dir = config["model_dir"]
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self.filter_degree = config["filter_degree"]
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self.filter_degree = config["filter_degree"]
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if self.type == namespace.Mode.TRAIN:
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if self.type == namespace.Mode.TRAIN:
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scale_ratio = 50
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scale_ratio = 1
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self.datalist = self.datalist*scale_ratio
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self.datalist = self.datalist*scale_ratio
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if self.cache:
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if self.cache:
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expr_root = ConfigManager.get("runner", "experiment", "root_dir")
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expr_root = ConfigManager.get("runner", "experiment", "root_dir")
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