edcb42e678e63cd4ef9be891f3e61a9fb3370147,txtgen/core/optimization.py,,get_optimizer,#Any#,54
Before Change
opt_type = hparams["type"]
opt_kwargs = hparams["kwargs"]
if opt_kwargs is HParams:
opt_kwargs = opt_kwargs.todict()
opt_modules = ["txtgen.custom",
"tensorflow.train",
"tensorflow.contrib.opt"]
opt = utils.get_instance(opt_type, opt_kwargs, opt_modules)
After Change
Returns:
An instance of :class:`~tensorflow.train.Optimizer`.
if hparams is None or isinstance(hparams, dict):
hparams = HParams(
hparams, default_optimization_hparams()["optimizer"])
opt_type = hparams["type"]
opt_kwargs = hparams["kwargs"].todict()
opt_modules = ["txtgen.custom",
"tensorflow.train",
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 9
Instances
Project Name: asyml/texar
Commit Name: edcb42e678e63cd4ef9be891f3e61a9fb3370147
Time: 2017-10-07
Author: zhitinghu@gmail.com
File Name: txtgen/core/optimization.py
Class Name:
Method Name: get_optimizer
Project Name: asyml/texar
Commit Name: edcb42e678e63cd4ef9be891f3e61a9fb3370147
Time: 2017-10-07
Author: zhitinghu@gmail.com
File Name: txtgen/core/layers.py
Class Name:
Method Name: get_rnn_cell
Project Name: asyml/texar
Commit Name: edcb42e678e63cd4ef9be891f3e61a9fb3370147
Time: 2017-10-07
Author: zhitinghu@gmail.com
File Name: txtgen/core/layers.py
Class Name:
Method Name: get_embedding