copy_run: Copy run directories

In tfruns: Training Run Tools for 'TensorFlow'

Copy run directories

Description

Functions for exporting/copying run directories and run artifact files.

Usage

copy_run(run_dir, to = ".", rename = NULL)

copy_run_files(run_dir, to = ".", rename = NULL)

Arguments

run_dir	Training run directory or data frame returned from ls_runs().
to	Name of parent directory to copy run(s) into. Defaults to the current working directory.
rename	Rename run directory after copying. If not specified this defaults to the basename of the run directory (e.g. "2017-09-24T10-54-00Z").

Details

Use copy_run to copy one or more run directories.

Use copy_run_files to copy only files saved/generated by training run scripts (e.g. saved models, checkpoints, etc.).

Value

Logical vector indicating which operation succeeded for each of the run directories specified.

See Also

Other run management: clean_runs()

Examples

## Not run: 

# export a run directory to the current working directory
copy_run("runs/2017-09-24T10-54-00Z")

# export to the current working directory then rename
copy_run("runs/2017-09-24T10-54-00Z", rename = "best-run")

# export artifact files only to the current working directory then rename
copy_run_files("runs/2017-09-24T10-54-00Z", rename = "best-model")

# export 3 best eval_acc to a "best-runs" directory
copy_run(ls_runs(order = eval_acc)[1:3,], to = "best-runs")


## End(Not run)

tfruns documentation built on May 29, 2024, 7:31 a.m.