From 4e37a5fda20f0878b593b8ba2b9ea46db63743b5 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期四, 11 五月 2023 14:16:28 +0800
Subject: [PATCH] update repo
---
funasr/datasets/small_datasets/sequence_iter_factory.py | 6 +++---
1 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/funasr/datasets/small_datasets/sequence_iter_factory.py b/funasr/datasets/small_datasets/sequence_iter_factory.py
index 810389e..c35314f 100644
--- a/funasr/datasets/small_datasets/sequence_iter_factory.py
+++ b/funasr/datasets/small_datasets/sequence_iter_factory.py
@@ -62,7 +62,7 @@
# sampler
dataset_conf = args.dataset_conf
batch_sampler = LengthBatchSampler(
- batch_bins=dataset_conf["batch_size"] * args.ngpu,
+ batch_bins=dataset_conf["batch_conf"]["batch_size"] * args.ngpu,
shape_files=shape_files,
sort_in_batch=dataset_conf["sort_in_batch"] if hasattr(dataset_conf, "sort_in_batch") else "descending",
sort_batch=dataset_conf["sort_batch"] if hasattr(dataset_conf, "sort_batch") else "ascending",
@@ -83,7 +83,7 @@
args.max_update = len(bs_list) * args.max_epoch
logging.info("Max update: {}".format(args.max_update))
- if args.distributed:
+ if args.distributed and mode=="train":
world_size = torch.distributed.get_world_size()
rank = torch.distributed.get_rank()
for batch in batches:
@@ -103,7 +103,7 @@
self.num_iters_per_epoch = None
self.shuffle = mode == "train"
self.seed = args.seed
- self.num_workers = args.num_workers
+ self.num_workers = args.dataset_conf.get("num_workers", 8)
self.collate_fn = collate_fn
self.pin_memory = args.ngpu > 0
--
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