remove prints

egs/reazonspeech/ASR/zipformer/streaming_decode.py

@@ -19,6 +19,7 @@
 """
 Usage:
 ./zipformer/streaming_decode.py--epoch 28   --avg 15   --causal 1   --chunk-size 32   --left-context-frames 256   --exp-dir ./zipformer/exp-large --lang data/lang_char --num-encoder-layers 2,2,4,5,4,2 --feedforward-dim 512,768,1536,2048,1536,768 --encoder-dim 192,256,512,768,512,256 --encoder-unmasked-dim 192,192,256,320,256,192
+
 """
 
 import pdb
@@ -456,9 +457,7 @@ def decode_one_chunk(
         states.append(stream.states)
         processed_lens.append(stream.done_frames)
 
-    print(feature_lens)
     feature_lens = torch.tensor(feature_lens, device=model.device)
-    print(feature_lens)
     features = pad_sequence(features, batch_first=True, padding_value=LOG_EPS)
 
     # Make sure the length after encoder_embed is at least 1.
@@ -522,7 +521,6 @@ def decode_one_chunk(
             # finished_streams.append(i)
         finished_streams.append(i)
 
-    print(finished_streams)
     return finished_streams
 
 
@@ -618,8 +616,6 @@ def decode_dataset(
         if num % log_interval == 0:
             logging.info(f"Cuts processed until now is {num}.")
 
-    print("cuts processed finished")
-    print(len(decode_streams))
     # decode final chunks of last sequences
     while len(decode_streams):
         # print("INSIDE LEN DECODE STREAMS")
@@ -691,9 +687,6 @@ def save_results(
             params.res_dir / f"errs-{test_set_name}-{key}-{params.suffix}.txt"
         )
         with open(errs_filename, "w") as f:
-            print("error stats")
-            print("results")
-            print(results)
             wer = write_error_stats(
                 f, f"{test_set_name}-{key}", results, enable_log=True
             )
@@ -871,8 +864,6 @@ def main():
 
     test_sets = ["valid", "test"]
     test_cuts = [valid_cuts, test_cuts]
-    print('test cuts')
-    print(test_cuts)
 
     for test_set, test_cut in zip(test_sets, test_cuts):
         results_dict = decode_dataset(
@@ -882,8 +873,6 @@ def main():
             sp=sp,
             decoding_graph=decoding_graph,
         )
-        print(r"esults_dict")
-        print(results_dict)
         save_results(
             params=params,
             test_set_name=test_set,