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Hi All, I Use .Get_Local_Copy() To Get A Local Copy For Each Of My Artifacts Logged In A Task. I Currently Have 160 Files Which I Want To Get A Local Copy. Each Artifact Is A Numpy Array (.Npz File) Uploaded Using .Upload_Artifact() Before. When I Run .Ge
Hi ScatteredClams84
Is there any parameter that adjusts the "number of files that can be stored in the cache"? I am using clearml python version 1.0.3 to upload artifacts and get the artifacts back from a task. (edited)
Yes you are correct, the default value is 100 entries.
You can configure it in the clearml.conf, just add:sdk.storage.cache.default_cache_manager_size = 1000
or from code:from clearml.storage.cache import CacheManager CacheManager.get_cache_manager(cache_file_limit=1000)
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