Although the whole emloop API can be accessed programmatically, the intended way of using it is through the command line instruments. The design goal is to focus on defining the actual models, datasets etc. instead of the burdensome code, which just puts all the components together.
With proper installation, the emloop command should become available. The command comes with four basic sub-commands explained below.
usage: emloop (train | resume | predict | dataset) [-v] [-o] ...
All the sub-commands share the following arguments:
| --output, -o | output directory, defaults to ./log |
| --verbose, -v | increase verbosity level to DEBUG |
Start emloop training from the config_file.
usage: emloop train [-h] config_file
| config_file | path to the config file |
Resume emloop training from the config_path.
usage: emloop resume [-h] config_path [restore_from]
| config_path | path to the config file or the directory in which it is stored |
| restore_from | information passed to the model constructor (backend-specific); usually a directory in which the trained model is stored |
Run prediction with the given config_path.
usage: emloop predict [-h] config_path [restore_from]
| config_path | path to the config file or the directory in which it is stored |
| restore_from | information passed to the model constructor (backend-specific); usually a directory in which the trained model is stored |
Invoke arbitrary dataset method.
usage: emloop dataset [-h] method config_file
| method | name of the method to be invoked |
| config_file | path to the config file |
List training log dirs in the given path.
usage: emloop ls [-h] [-l] [-a] [-r] [-v] [dir]
| dir | path to the log directory to be listed Default: “./log” |
| -l, --long | use long listing format Default: False |
| -a, --all | include trainings with no epochs done Default: False |
| -r, --recursive | |
list all the dirs recursively, stop at training dirs Default: False | |
| -v, --verbose | print more verbose output, applicable only when a single train dir is listed Default: False |
Prune training log dirs in the given path without finished epochs.
usage: emloop prune [-h] [-e EPOCHS] [-s] [dir]
| dir | path to the log directory to be pruned Default: “./log” |
| -e, --epochs | keep only training log dirs having at least this many completed epochs, default 1 Default: 1 |
| -s, --subdirs | delete all subdirectories in training directories Default: False |