remove outdated code in train.py (#1096)

k2-fsa · May 24, 2023 · 1aeffa7 · 1aeffa7
1 parent af8907e
commit 1aeffa7
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diff --git a/egs/librispeech/ASR/transducer/train.py b/egs/librispeech/ASR/transducer/train.py
@@ -627,14 +627,6 @@ def remove_short_and_long_utt(c: Cut):
 
     train_cuts = train_cuts.filter(remove_short_and_long_utt)
 
-    num_left = len(train_cuts)
-    num_removed = num_in_total - num_left
-    removed_percent = num_removed / num_in_total * 100
-
-    logging.info(f"Before removing short and long utterances: {num_in_total}")
-    logging.info(f"After removing short and long utterances: {num_left}")
-    logging.info(f"Removed {num_removed} utterances ({removed_percent:.5f}%)")
-
     train_dl = librispeech.train_dataloaders(train_cuts)
 
     valid_cuts = librispeech.dev_clean_cuts()

diff --git a/egs/librispeech/ASR/transducer_stateless/train.py b/egs/librispeech/ASR/transducer_stateless/train.py
@@ -654,20 +654,6 @@ def remove_short_and_long_utt(c: Cut):
 
     train_cuts = train_cuts.filter(remove_short_and_long_utt)
 
-    try:
-        num_left = len(train_cuts)
-        num_removed = num_in_total - num_left
-        removed_percent = num_removed / num_in_total * 100
-
-        logging.info(f"Before removing short and long utterances: {num_in_total}")
-        logging.info(f"After removing short and long utterances: {num_left}")
-        logging.info(f"Removed {num_removed} utterances ({removed_percent:.5f}%)")
-    except TypeError as e:
-        # You can ignore this error as previous versions of Lhotse work fine
-        # for the above code. In recent versions of Lhotse, it uses
-        # lazy filter, producing cutsets that don't have the __len__  method
-        logging.info(str(e))
-
     train_dl = librispeech.train_dataloaders(train_cuts)
 
     valid_cuts = librispeech.dev_clean_cuts()

diff --git a/egs/librispeech/ASR/transducer_stateless2/train.py b/egs/librispeech/ASR/transducer_stateless2/train.py
@@ -642,20 +642,6 @@ def remove_short_and_long_utt(c: Cut):
 
     train_cuts = train_cuts.filter(remove_short_and_long_utt)
 
-    try:
-        num_left = len(train_cuts)
-        num_removed = num_in_total - num_left
-        removed_percent = num_removed / num_in_total * 100
-
-        logging.info(f"Before removing short and long utterances: {num_in_total}")
-        logging.info(f"After removing short and long utterances: {num_left}")
-        logging.info(f"Removed {num_removed} utterances ({removed_percent:.5f}%)")
-    except TypeError as e:
-        # You can ignore this error as previous versions of Lhotse work fine
-        # for the above code. In recent versions of Lhotse, it uses
-        # lazy filter, producing cutsets that don't have the __len__  method
-        logging.info(str(e))
-
     train_dl = librispeech.train_dataloaders(train_cuts)
 
     valid_cuts = librispeech.dev_clean_cuts()