From 94de39dde2e616a01683c518023d0fab72b4e103 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 19 二月 2024 22:21:50 +0800
Subject: [PATCH] aishell example
---
funasr/models/ct_transformer/model.py | 50 +++++++++++++++++++++++++++++++-------------------
1 files changed, 31 insertions(+), 19 deletions(-)
diff --git a/funasr/models/ct_transformer/model.py b/funasr/models/ct_transformer/model.py
index 5fb3ed4..1e53aa3 100644
--- a/funasr/models/ct_transformer/model.py
+++ b/funasr/models/ct_transformer/model.py
@@ -1,22 +1,34 @@
-from typing import Any
-from typing import List
-from typing import Tuple
-from typing import Optional
+#!/usr/bin/env python3
+# -*- encoding: utf-8 -*-
+# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
+# MIT License (https://opensource.org/licenses/MIT)
+
+import torch
import numpy as np
import torch.nn.functional as F
-
-from funasr.models.transformer.utils.nets_utils import make_pad_mask
-from funasr.train_utils.device_funcs import force_gatherable
-from funasr.train_utils.device_funcs import to_device
-import torch
-import torch.nn as nn
-from funasr.models.ct_transformer.utils import split_to_mini_sentence, split_words
-from funasr.utils.load_utils import load_audio_text_image_video
+from contextlib import contextmanager
+from distutils.version import LooseVersion
+from typing import Any, List, Tuple, Optional
from funasr.register import tables
+from funasr.train_utils.device_funcs import to_device
+from funasr.train_utils.device_funcs import force_gatherable
+from funasr.utils.load_utils import load_audio_text_image_video
+from funasr.models.transformer.utils.nets_utils import make_pad_mask
+from funasr.models.ct_transformer.utils import split_to_mini_sentence, split_words
+
+
+if LooseVersion(torch.__version__) >= LooseVersion("1.6.0"):
+ from torch.cuda.amp import autocast
+else:
+ # Nothing to do if torch<1.6.0
+ @contextmanager
+ def autocast(enabled=True):
+ yield
+
@tables.register("model_classes", "CTTransformer")
-class CTTransformer(nn.Module):
+class CTTransformer(torch.nn.Module):
"""
Author: Speech Lab of DAMO Academy, Alibaba Group
CT-Transformer: Controllable time-delay transformer for real-time punctuation prediction and disfluency detection
@@ -45,11 +57,11 @@
punc_weight = [1] * punc_size
- self.embed = nn.Embedding(vocab_size, embed_unit)
+ self.embed = torch.nn.Embedding(vocab_size, embed_unit)
encoder_class = tables.encoder_classes.get(encoder)
encoder = encoder_class(**encoder_conf)
- self.decoder = nn.Linear(att_unit, punc_size)
+ self.decoder = torch.nn.Linear(att_unit, punc_size)
self.encoder = encoder
self.punc_list = punc_list
self.punc_weight = punc_weight
@@ -211,7 +223,7 @@
loss, stats, weight = force_gatherable((loss, stats, ntokens), loss.device)
return loss, stats, weight
- def generate(self,
+ def inference(self,
data_in,
data_lengths=None,
key: list = None,
@@ -321,20 +333,20 @@
elif new_mini_sentence[-1] == ",":
new_mini_sentence_out = new_mini_sentence[:-1] + "."
new_mini_sentence_punc_out = new_mini_sentence_punc[:-1] + [self.sentence_end_id]
- elif new_mini_sentence[-1] != "銆�" and new_mini_sentence[-1] != "锛�" and len(new_mini_sentence[-1].encode())==0:
+ elif new_mini_sentence[-1] != "銆�" and new_mini_sentence[-1] != "锛�" and len(new_mini_sentence[-1].encode())!=1:
new_mini_sentence_out = new_mini_sentence + "銆�"
new_mini_sentence_punc_out = new_mini_sentence_punc[:-1] + [self.sentence_end_id]
+ if len(punctuations): punctuations[-1] = 2
elif new_mini_sentence[-1] != "." and new_mini_sentence[-1] != "?" and len(new_mini_sentence[-1].encode())==1:
new_mini_sentence_out = new_mini_sentence + "."
new_mini_sentence_punc_out = new_mini_sentence_punc[:-1] + [self.sentence_end_id]
+ if len(punctuations): punctuations[-1] = 2
# keep a punctuations array for punc segment
if punc_array is None:
punc_array = punctuations
else:
punc_array = torch.cat([punc_array, punctuations], dim=0)
-
result_i = {"key": key[0], "text": new_mini_sentence_out, "punc_array": punc_array}
results.append(result_i)
-
return results, meta_data
--
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