prune-bert-models
Automatically generated README for this automation recipe: prune-bert-models
Category: AI/ML optimization
License: Apache 2.0
-
Notes from the authors, contributors and users: README-extra
-
CM meta description for this script: _cm.json
- Output cached? False
Reuse this script in your project
Install MLCommons CM automation meta-framework
Pull CM repository with this automation recipe (CM script)
cm pull repo mlcommons@cm4mlops
Print CM help from the command line
cmr "prune bert-models bert-prune prune-bert-models" --help
Run this script
Run this script via CLI
cm run script --tags=prune,bert-models,bert-prune,prune-bert-models[,variations] [--input_flags]
Run this script via CLI (alternative)
cmr "prune bert-models bert-prune prune-bert-models [variations]" [--input_flags]
Run this script from Python
import cmind
r = cmind.access({'action':'run'
'automation':'script',
'tags':'prune,bert-models,bert-prune,prune-bert-models'
'out':'con',
...
(other input keys for this script)
...
})
if r['return']>0:
print (r['error'])
Run this script via Docker (beta)
cm docker script "prune bert-models bert-prune prune-bert-models[variations]" [--input_flags]
Variations
-
No group (any combination of variations can be selected)
Click here to expand this section.
_model.#
- ENV variables:
- CM_BERT_PRUNE_MODEL_NAME:
#
- CM_MODEL_ZOO_STUB:
#
- CM_BERT_PRUNE_MODEL_NAME:
- ENV variables:
_path.#
- ENV variables:
- CM_BERT_PRUNE_CKPT_PATH:
#
- CM_BERT_PRUNE_CKPT_PATH:
- ENV variables:
_task.#
- ENV variables:
- CM_BERT_PRUNE_TASK:
#
- CM_BERT_PRUNE_TASK:
- ENV variables:
Script flags mapped to environment
--constraint=value
→CM_BERT_PRUNE_CONSTRAINT=value
--output_dir=value
→CM_BERT_PRUNE_OUTPUT_DIR=value
Default environment
These keys can be updated via --env.KEY=VALUE
or env
dictionary in @input.json
or using script flags.
- CM_BERT_PRUNE_TASK:
squad
- CM_BERT_PRUNE_MODEL_NAME:
bert-large-uncased
- CM_MODEL_ZOO_STUB:
bert-large-uncased
- CM_BERT_PRUNE_CONSTRAINT:
0.5
Native script being run
No run file exists for Windows
Script output
cmr "prune bert-models bert-prune prune-bert-models [variations]" [--input_flags] -j