ClearML/clearml-docs
1
0
Fork 0
mirror of https://github.com/clearml/clearml-docs synced 2025-02-07 13:21:46 +00:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

Add ClearML Data parallel file transfer (#272)

Browse Source
This commit is contained in:
pollfly 2022-06-26 09:27:34 +03:00 committed by GitHub
parent 760be011fd
commit 218c54f691
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 8 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
docs/clearml_data/clearml_data_sdk.md
View File

@ -88,6 +88,10 @@ Once a specific dataset object has been obtained, get a local copy of the datase
of an entire dataset. This method downloads the dataset to a specific folder (non-cached), specified with the `target_folder` parameter. If
the specified folder already has contents, specify whether to overwrite its contents with the dataset contents, using the `overwrite` parameter.
ClearML supports parallel downloading of datasets. Use the `max_workers` parameter of the `Dataset.get_local_copy` or
`Dataset.get_mutable_copy` methods to specify the number of threads to use when downloading the dataset. By default, it’s
the number of your machine’s logical cores.
## Modifying Datasets
Once a dataset has been created, its contents can be modified and replaced. When your data is changed, you can
@ -162,9 +166,13 @@ dataset.remove_files(dataset_path="*.csv", recursive=True)
## Uploading Files
To upload the dataset files to network storage, use the [`Dataset.upload`](../references/sdk/dataset.md#upload) method.
Use the `output_url` parameter to specify storage target, such as S3 / GS / Azure (e.g. `s3://bucket/data`, `gs://bucket/data`, `azure://bucket/data` , `/mnt/share/data`).
By default, the dataset uploads to ClearML's file server.
ClearML supports parallel uploading of datasets. Use the `max_workers` parameter to specify the number of threads to use
when uploading the dataset. By default, it’s the number of your machine’s logical cores.
Dataset files must be uploaded before a dataset is [finalized](#finalizing-a-dataset).