Update warning if ckpt directory is not empty (#5209)
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@ -20,11 +20,11 @@ Automatically save model checkpoints during training.
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"""
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"""
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from copy import deepcopy
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import numbers
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import numbers
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import os
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import os
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import re
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from copy import deepcopy
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from pathlib import Path
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from pathlib import Path
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import re
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from typing import Any, Dict, Optional, Union
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from typing import Any, Dict, Optional, Union
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import numpy as np
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import numpy as np
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@ -271,8 +271,7 @@ class ModelCheckpoint(Callback):
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and len(self._fs.ls(dirpath)) > 0
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and len(self._fs.ls(dirpath)) > 0
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):
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):
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rank_zero_warn(
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rank_zero_warn(
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f"Checkpoint directory {dirpath} exists and is not empty. With save_top_k={save_top_k},"
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f"Checkpoint directory {dirpath} exists and is not empty."
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" all files in this directory will be deleted when a checkpoint is saved!"
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)
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)
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if dirpath and self._fs.protocol == 'file':
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if dirpath and self._fs.protocol == 'file':
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