From de0ecb446fa429d210397949694d8d9ad6d66112 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 09 二月 2023 10:57:25 +0800
Subject: [PATCH] Merge pull request #79 from alibaba-damo-academy/dev_wjm
---
funasr/datasets/large_datasets/dataset.py | 18 ++++++++++++------
1 files changed, 12 insertions(+), 6 deletions(-)
diff --git a/funasr/datasets/large_datasets/dataset.py b/funasr/datasets/large_datasets/dataset.py
index 41d34ab..55b0678 100644
--- a/funasr/datasets/large_datasets/dataset.py
+++ b/funasr/datasets/large_datasets/dataset.py
@@ -13,6 +13,7 @@
from funasr.datasets.large_datasets.datapipes.map import MapperIterDataPipe
from funasr.datasets.large_datasets.utils.filter import filter
from funasr.datasets.large_datasets.utils.padding import padding
+from funasr.datasets.large_datasets.utils.clipping import clipping
from funasr.datasets.large_datasets.utils.tokenize import tokenize
@@ -101,6 +102,8 @@
elif data_type == "text" or data_type == "sound":
text_reader = open(data_file, "r")
reader_list.append(text_reader)
+ elif data_type == "none":
+ continue
else:
raise TypeError("Data type {} is not supported".format(data_type))
@@ -143,7 +146,8 @@
dict,
seg_dict,
conf,
- mode="train"):
+ mode="train",
+ batch_mode="padding"):
scp_lists = read_lists(data_list_file)
shuffle = conf.get('shuffle', True)
data_names = conf.get("data_names", "speech,text")
@@ -154,9 +158,10 @@
filter_fn = partial(filter, **filter_conf)
dataset = FilterIterDataPipe(dataset, fn=filter_fn)
- vocab = {'vocab': dict, 'seg_dict': seg_dict}
- tokenize_fn = partial(tokenize, **vocab)
- dataset = MapperIterDataPipe(dataset, fn=tokenize_fn)
+ if "text" in data_names:
+ vocab = {'vocab': dict, 'seg_dict': seg_dict}
+ tokenize_fn = partial(tokenize, **vocab)
+ dataset = MapperIterDataPipe(dataset, fn=tokenize_fn)
if shuffle:
buffer_conf = conf.get('shuffle_conf', {})
@@ -180,8 +185,9 @@
batch_size=batch_size,
len_fn=len_fn,
buffer_size=buffer_size,
- sort_size=sort_size)
+ sort_size=sort_size,
+ batch_mode=batch_mode)
- dataset = MapperIterDataPipe(dataset, fn=padding)
+ dataset = MapperIterDataPipe(dataset, fn=padding if batch_mode == "padding" else clipping)
return dataset
--
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