log_files()

Appends a file value and uploads the file contents at a particular step.

Pass the data as a dictionary {key: value} with:

• key: path to the attribute where the series is stored in the run.
• value: a file value to append to the series.

The files are uploaded to the Neptune object storage and the attributes are set to point to the uploaded files.

Related

• Log files
• Namespaces and attributes

Parameters

Name	Type	Default	Description
files	Dict[str, Union[str, Path, bytes, File]]	None	Dictionary of files to log. Binary file-like objects are accepted. To specify the destination path of the file, its MIME type and size, use the File object as a value.
step	Union[float, int]	None	Index of the log entry. Tip: Use float rather than int values when logging substeps in a batch.
timestamp	datetime, optional	None	Time of logging the metadata. If not provided, the current time is used. If provided, and timestamp.tzinfo is not set, the time is assumed to be in the local timezone.

Example

from neptune_scale import Run
run = Run(...)


# for step in training loop
run.log_files(
    files={"predictions/train": "output/train/predictions.png"},
    step=1,
)