use explicit relative imports for librispeech

egs/librispeech/ASR/pruned_transducer_stateless5/conformer.py

@@ -21,8 +21,8 @@ import warnings
 from typing import List, Optional, Tuple
 
 import torch
-from encoder_interface import EncoderInterface
-from scaling import (
+from .encoder_interface import EncoderInterface
+from .scaling import (
     ActivationBalancer,
     BasicNorm,
     DoubleSwish,

egs/librispeech/ASR/transducer_stateless/beam_search.py

@@ -20,7 +20,7 @@ from typing import Dict, List, Optional
 
 import k2
 import torch
-from model import Transducer
+from .model import Transducer
 
 from icefall.decode import Nbest, one_best_decoding
 from icefall.utils import get_texts

egs/librispeech/ASR/transducer_stateless/conformer.py

@@ -22,7 +22,7 @@ from typing import List, Optional, Tuple
 
 import torch
 from torch import Tensor, nn
-from transformer import Transformer
+from .transformer import Transformer
 
 from icefall.utils import make_pad_mask, subsequent_chunk_mask
 

egs/librispeech/ASR/transducer_stateless/model.py

@@ -19,7 +19,7 @@ import random
 import k2
 import torch
 import torch.nn as nn
-from encoder_interface import EncoderInterface
+from .encoder_interface import EncoderInterface
 
 from icefall.utils import add_sos
 

egs/librispeech/ASR/transducer_stateless/transformer.py

@@ -20,8 +20,8 @@ from typing import Optional, Tuple
 
 import torch
 import torch.nn as nn
-from encoder_interface import EncoderInterface
-from subsampling import Conv2dSubsampling, VggSubsampling
+from .encoder_interface import EncoderInterface
+from .subsampling import Conv2dSubsampling, VggSubsampling
 
 from icefall.utils import make_pad_mask