22e535e23b4c2e95e7e72198ae98c7e0d4ac8c18,eval_lm.py,,main,#Any#,35
Before Change
print("| loading model(s) from {}".format(parsed_args.path))
models, args = utils.load_ensemble_for_inference(parsed_args.path.split(":"), task)
args.__dict__.update(parsed_args.__dict__)
print(args)
task.args = args
After Change
models, args = utils.load_ensemble_for_inference(parsed_args.path.split(":"), task)
for arg in vars(parsed_args).keys():
if arg not in {"self_target", "future_target", "past_target", "tokens_per_sample", "output_size_dictionary"}:
setattr(args, arg, getattr(parsed_args, arg))
task = tasks.setup_task(args)
// Load dataset splits
task.load_dataset(args.gen_subset)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: pytorch/fairseq
Commit Name: 22e535e23b4c2e95e7e72198ae98c7e0d4ac8c18
Time: 2018-09-30
Author: alexei.b@gmail.com
File Name: eval_lm.py
Class Name:
Method Name: main
Project Name: markovmodel/PyEMMA
Commit Name: 4a8d4b647b79b5d0cea572d5951395bf98ba97c8
Time: 2017-11-28
Author: m.scherer@fu-berlin.de
File Name: pyemma/_base/serialization/serialization.py
Class Name: SerializableMixIn
Method Name: __getstate__