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prevent crash when adapting on much smaller data than the tree was created from #3506

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Merged
danpovey merged 1 commit into from
Aug 5, 2019
Merged

prevent crash when adapting on much smaller data than the tree was created from #3506

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12 changes: 11 additions & 1 deletion egs/wsj/s5/steps/nnet3/chain/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,6 +60,13 @@ def get_args():
should halve --trainer.samples-per-iter. May be
a comma-separated list of alternatives: first width
is the 'principal' chunk-width, used preferentially""")
parser.add_argument("--egs.nj", type=int, required=False,
default=0, dest="egs_nj",
help="""Number of jobs to use when generating egs.
Default: the same number as used for tree generation.
You probably do not need to tweak this, unless you
want to adapt a neural network on some different,
smaller-size data.""")

# chain options
parser.add_argument("--chain.lm-opts", type=str, dest='lm_opts',
Expand Down Expand Up @@ -283,7 +290,10 @@ def train(args, run_opts):
shutil.copy('{0}/phones.txt'.format(args.tree_dir), args.dir)

# Set some variables.
num_jobs = common_lib.get_number_of_jobs(args.tree_dir)
if args.egs_nj <= 0:
num_jobs = common_lib.get_number_of_jobs(args.tree_dir)
else:
num_jobs = args.egs_nj
feat_dim = common_lib.get_feat_dim(args.feat_dir)
ivector_dim = common_lib.get_ivector_dim(args.online_ivector_dir)
ivector_id = common_lib.get_ivector_extractor_id(args.online_ivector_dir)
Expand Down