fixed a CI test for wenetspeech

.github/scripts/run-wenetspeech-pruned-transducer-stateless2.sh

@@ -30,22 +30,22 @@ log "Test exporting to ONNX format"
 
 ./pruned_transducer_stateless2/export-onnx.py \
   --exp-dir $repo/exp \
-  --lang-dir $repo/data/lang_char \
+  --tokens $repo/data/lang_char/tokens.txt \
   --epoch 99 \
   --avg 1
 
 log "Export to torchscript model"
 
 ./pruned_transducer_stateless2/export.py \
   --exp-dir $repo/exp \
-  --lang-dir $repo/data/lang_char \
+  --tokens $repo/data/lang_char/tokens.txt \
   --epoch 99 \
   --avg 1 \
   --jit 1
 
 ./pruned_transducer_stateless2/export.py \
   --exp-dir $repo/exp \
-  --lang-dir $repo/data/lang_char \
+  --tokens $repo/data/lang_char/tokens.txt \
   --epoch 99 \
   --avg 1 \
   --jit-trace 1

egs/aishell/ASR/pruned_transducer_stateless2/export.py

@@ -47,12 +47,12 @@
 import logging
 from pathlib import Path
 
+import k2
 import torch
 from train import add_model_arguments, get_params, get_transducer_model
 
 from icefall.checkpoint import average_checkpoints, find_checkpoints, load_checkpoint
-from icefall.lexicon import Lexicon
-from icefall.utils import str2bool
+from icefall.utils import num_tokens, str2bool
 
 
 def get_parser():
@@ -106,10 +106,10 @@ def get_parser():
     )
 
     parser.add_argument(
-        "--lang-dir",
-        type=Path,
-        default=Path("data/lang_char"),
-        help="The lang dir",
+        "--tokens",
+        type=str,
+        default="data/lang_char/tokens.txt",
+        help="Path to the tokens.txt",
     )
 
     parser.add_argument(
@@ -136,10 +136,9 @@ def main():
 
     logging.info(f"device: {device}")
 
-    lexicon = Lexicon(params.lang_dir)
-
-    params.blank_id = 0
-    params.vocab_size = max(lexicon.tokens) + 1
+    token_table = k2.SymbolTable.from_file(params.tokens)
+    params.blank_id = token_table["<blk>"]
+    params.vocab_size = num_tokens(token_table) + 1
 
     logging.info(params)
 

egs/aishell/ASR/pruned_transducer_stateless3/export.py

@@ -47,6 +47,7 @@
 import logging
 from pathlib import Path
 
+import k2
 import torch
 from scaling_converter import convert_scaled_to_non_scaled
 from train import add_model_arguments, get_params, get_transducer_model
@@ -57,8 +58,7 @@
     find_checkpoints,
     load_checkpoint,
 )
-from icefall.lexicon import Lexicon
-from icefall.utils import str2bool
+from icefall.utils import num_tokens, str2bool
 
 
 def get_parser():
@@ -123,10 +123,10 @@ def get_parser():
     )
 
     parser.add_argument(
-        "--lang-dir",
-        type=Path,
-        default=Path("data/lang_char"),
-        help="The lang dir",
+        "--tokens",
+        type=str,
+        default="data/lang_char/tokens.txt",
+        help="Path to the tokens.txt",
     )
 
     parser.add_argument(
@@ -153,10 +153,9 @@ def main():
 
     logging.info(f"device: {device}")
 
-    lexicon = Lexicon(params.lang_dir)
-
-    params.blank_id = 0
-    params.vocab_size = max(lexicon.tokens) + 1
+    token_table = k2.SymbolTable.from_file(params.tokens)
+    params.blank_id = token_table["<blk>"]
+    params.vocab_size = num_tokens(token_table) + 1
     params.datatang_prob = 0
 
     logging.info(params)

egs/aishell/ASR/pruned_transducer_stateless7/export-onnx.py

@@ -49,14 +49,14 @@
 from pathlib import Path
 from typing import Dict, Tuple
 
+import k2
 import onnx
-import sentencepiece as spm
 import torch
 import torch.nn as nn
 from decoder2 import Decoder
+from do_not_use_it_directly import add_model_arguments, get_params, get_transducer_model
 from onnxruntime.quantization import QuantType, quantize_dynamic
 from scaling_converter import convert_scaled_to_non_scaled
-from do_not_use_it_directly import add_model_arguments, get_params, get_transducer_model
 from zipformer import Zipformer
 
 from icefall.checkpoint import (
@@ -65,8 +65,7 @@
     find_checkpoints,
     load_checkpoint,
 )
-from icefall.lexicon import Lexicon
-from icefall.utils import setup_logger, str2bool
+from icefall.utils import num_tokens, setup_logger, str2bool
 
 
 def get_parser():
@@ -123,12 +122,10 @@ def get_parser():
     )
 
     parser.add_argument(
-        "--lang-dir",
+        "--tokens",
         type=str,
-        help="""The lang dir
-        It contains language related input files such as
-        "lexicon.txt"
-        """,
+        default="data/lang_char/tokens.txt",
+        help="Path to the tokens.txt",
     )
 
     parser.add_argument(
@@ -404,9 +401,9 @@ def main():
 
     logging.info(f"device: {device}")
 
-    lexicon = Lexicon(params.lang_dir)
-    params.blank_id = 0
-    params.vocab_size = max(lexicon.tokens) + 1
+    token_table = k2.SymbolTable.from_file(params.tokens)
+    params.blank_id = token_table["<blk>"]
+    params.vocab_size = num_tokens(token_table) + 1
 
     logging.info(params)
 

egs/aishell/ASR/transducer_stateless/export.py

@@ -23,7 +23,7 @@
 Usage:
 ./transducer_stateless/export.py \
   --exp-dir ./transducer_stateless/exp \
-  --lang-dir data/lang_char \
+  --tokens data/lang_char/tokens.txt \
   --epoch 20 \
   --avg 10
 
@@ -47,6 +47,7 @@
 import logging
 from pathlib import Path
 
+import k2
 import torch
 import torch.nn as nn
 from conformer import Conformer
@@ -56,8 +57,7 @@
 
 from icefall.checkpoint import average_checkpoints, load_checkpoint
 from icefall.env import get_env_info
-from icefall.lexicon import Lexicon
-from icefall.utils import AttributeDict, str2bool
+from icefall.utils import AttributeDict, num_tokens, str2bool
 
 
 def get_parser():
@@ -92,10 +92,10 @@ def get_parser():
     )
 
     parser.add_argument(
-        "--lang-dir",
+        "--tokens",
         type=str,
-        default="data/lang_char",
-        help="The lang dir",
+        default="data/lang_char/tokens.txt",
+        help="Path to the tokens.txt",
     )
 
     parser.add_argument(
@@ -192,10 +192,9 @@ def main():
 
     logging.info(f"device: {device}")
 
-    lexicon = Lexicon(params.lang_dir)
-
-    params.blank_id = 0
-    params.vocab_size = max(lexicon.tokens) + 1
+    token_table = k2.SymbolTable.from_file(params.tokens)
+    params.blank_id = token_table["<blk>"]
+    params.vocab_size = num_tokens(token_table) + 1
 
     logging.info(params)
 

egs/aishell/ASR/transducer_stateless_modified-2/export.py

@@ -46,6 +46,7 @@
 import logging
 from pathlib import Path
 
+import k2
 import torch
 import torch.nn as nn
 from conformer import Conformer
@@ -56,7 +57,7 @@
 from icefall.checkpoint import average_checkpoints, load_checkpoint
 from icefall.env import get_env_info
 from icefall.lexicon import Lexicon
-from icefall.utils import AttributeDict, str2bool
+from icefall.utils import AttributeDict, num_tokens, str2bool
 
 
 def get_parser():
@@ -99,10 +100,10 @@ def get_parser():
     )
 
     parser.add_argument(
-        "--lang-dir",
-        type=Path,
-        default=Path("data/lang_char"),
-        help="The lang dir",
+        "--tokens",
+        type=str,
+        default="data/lang_char/tokens.txt",
+        help="Path to the tokens.txt",
     )
 
     parser.add_argument(
@@ -190,10 +191,9 @@ def main():
 
     logging.info(f"device: {device}")
 
-    lexicon = Lexicon(params.lang_dir)
-
-    params.blank_id = 0
-    params.vocab_size = max(lexicon.tokens) + 1
+    token_table = k2.SymbolTable.from_file(params.tokens)
+    params.blank_id = token_table["<blk>"]
+    params.vocab_size = num_tokens(token_table) + 1
 
     logging.info(params)
 

egs/aishell/ASR/transducer_stateless_modified/export.py

@@ -46,6 +46,7 @@
 import logging
 from pathlib import Path
 
+import k2
 import torch
 import torch.nn as nn
 from conformer import Conformer
@@ -55,8 +56,7 @@
 
 from icefall.checkpoint import average_checkpoints, load_checkpoint
 from icefall.env import get_env_info
-from icefall.lexicon import Lexicon
-from icefall.utils import AttributeDict, str2bool
+from icefall.utils import AttributeDict, num_tokens, str2bool
 
 
 def get_parser():
@@ -99,10 +99,10 @@ def get_parser():
     )
 
     parser.add_argument(
-        "--lang-dir",
-        type=Path,
-        default=Path("data/lang_char"),
-        help="The lang dir",
+        "--tokens",
+        type=str,
+        default="data/lang_char/tokens.txt",
+        help="Path to the tokens.txt",
     )
 
     parser.add_argument(
@@ -190,10 +190,9 @@ def main():
 
     logging.info(f"device: {device}")
 
-    lexicon = Lexicon(params.lang_dir)
-
-    params.blank_id = 0
-    params.vocab_size = max(lexicon.tokens) + 1
+    token_table = k2.SymbolTable.from_file(params.tokens)
+    params.blank_id = token_table["<blk>"]
+    params.vocab_size = num_tokens(token_table) + 1
 
     logging.info(params)
 

egs/aishell2/ASR/pruned_transducer_stateless5/export.py

@@ -22,7 +22,7 @@
 Usage:
 ./pruned_transducer_stateless5/export.py \
   --exp-dir ./pruned_transducer_stateless5/exp \
-  --lang-dir data/lang_char
+  --tokens ./data/lang_char/tokens.txt \
   --epoch 25 \
   --avg 5
 
@@ -48,6 +48,7 @@
 import logging
 from pathlib import Path
 
+import k2
 import torch
 from train import add_model_arguments, get_params, get_transducer_model
 
@@ -57,8 +58,7 @@
     find_checkpoints,
     load_checkpoint,
 )
-from icefall.lexicon import Lexicon
-from icefall.utils import str2bool
+from icefall.utils import num_tokens, str2bool
 
 
 def get_parser():
@@ -115,10 +115,10 @@ def get_parser():
     )
 
     parser.add_argument(
-        "--lang-dir",
+        "--tokens",
         type=str,
-        default="data/lang_char",
-        help="The lang dir",
+        default="data/lang_char/tokens.txt",
+        help="Path to the tokens.txt",
     )
 
     parser.add_argument(
@@ -154,10 +154,10 @@ def main():
 
     logging.info(f"device: {device}")
 
-    lexicon = Lexicon(params.lang_dir)
-    params.blank_id = lexicon.token_table["<blk>"]
-    params.unk_id = lexicon.token_table["<unk>"]
-    params.vocab_size = max(lexicon.tokens) + 1
+    token_table = k2.SymbolTable.from_file(params.tokens)
+    params.blank_id = token_table["<blk>"]
+    params.unk_id = token_table["<unk>"]
+    params.vocab_size = num_tokens(token_table) + 1
 
     logging.info(params)