From 9b4e9cc8a0311e5243d69b73ed073e7ea441982e Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 27 三月 2024 16:05:29 +0800
Subject: [PATCH] train update
---
funasr/bin/compute_audio_cmvn.py | 49 ++++++++++++++++++++++---------------------------
1 files changed, 22 insertions(+), 27 deletions(-)
diff --git a/funasr/bin/compute_audio_cmvn.py b/funasr/bin/compute_audio_cmvn.py
index b66bb14..cd64329 100644
--- a/funasr/bin/compute_audio_cmvn.py
+++ b/funasr/bin/compute_audio_cmvn.py
@@ -18,7 +18,7 @@
assert "model" in kwargs
if "model_conf" not in kwargs:
- logging.info("download models from model hub: {}".format(kwargs.get("model_hub", "ms")))
+ logging.info("download models from model hub: {}".format(kwargs.get("hub", "ms")))
kwargs = download_model(is_training=kwargs.get("is_training", True), **kwargs)
@@ -28,7 +28,7 @@
def main(**kwargs):
print(kwargs)
# set random seed
- tables.print()
+ # tables.print()
set_all_random_seed(kwargs.get("seed", 0))
torch.backends.cudnn.enabled = kwargs.get("cudnn_enabled", torch.backends.cudnn.enabled)
torch.backends.cudnn.benchmark = kwargs.get("cudnn_benchmark", torch.backends.cudnn.benchmark)
@@ -54,21 +54,15 @@
dataset_train = dataset_class(kwargs.get("train_data_set_list"), frontend=frontend, tokenizer=None, is_training=False, **kwargs.get("dataset_conf"))
# dataloader
- batch_sampler = kwargs["dataset_conf"].get("batch_sampler", "DynamicBatchLocalShuffleSampler")
- batch_sampler_train = None
- if batch_sampler is not None:
- batch_sampler_class = tables.batch_sampler_classes.get(batch_sampler)
- dataset_conf = kwargs.get("dataset_conf")
- dataset_conf["batch_type"] = "example"
- dataset_conf["batch_size"] = 1
- batch_sampler_train = batch_sampler_class(dataset_train, is_training=False, **dataset_conf)
+ batch_sampler = kwargs["dataset_conf"].get("batch_sampler", "BatchSampler")
+ batch_sampler_class = tables.batch_sampler_classes.get(batch_sampler)
+ dataset_conf = kwargs.get("dataset_conf")
+ dataset_conf["batch_type"] = "example"
+ dataset_conf["batch_size"] = 1
+ dataset_conf["num_workers"] = os.cpu_count() or 32
+ batch_sampler_train = batch_sampler_class(dataset_train, is_training=False, **dataset_conf)
-
- dataloader_train = torch.utils.data.DataLoader(dataset_train,
- collate_fn=dataset_train.collator,
- batch_sampler=batch_sampler_train,
- num_workers=int(kwargs.get("dataset_conf").get("num_workers", 4)),
- pin_memory=True)
+ dataloader_train = torch.utils.data.DataLoader(dataset_train, collate_fn=dataset_train.collator, **batch_sampler_train)
iter_stop = int(kwargs.get("scale", 1.0)*len(dataloader_train))
@@ -79,8 +73,8 @@
fbank = batch["speech"].numpy()[0, :, :]
if total_frames == 0:
- mean_stats = fbank
- var_stats = np.square(fbank)
+ mean_stats = np.sum(fbank, axis=0)
+ var_stats = np.sum(np.square(fbank), axis=0)
else:
mean_stats += np.sum(fbank, axis=0)
var_stats += np.sum(np.square(fbank), axis=0)
@@ -93,6 +87,7 @@
'total_frames': total_frames
}
cmvn_file = kwargs.get("cmvn_file", "cmvn.json")
+ # import pdb;pdb.set_trace()
with open(cmvn_file, 'w') as fout:
fout.write(json.dumps(cmvn_info))
@@ -110,14 +105,14 @@
fout.write("</Nnet>" + '\n')
-
+
+"""
+python funasr/bin/compute_audio_cmvn.py \
+--config-path "/Users/zhifu/funasr1.0/examples/aishell/paraformer/conf" \
+--config-name "train_asr_paraformer_conformer_12e_6d_2048_256.yaml" \
+++train_data_set_list="/Users/zhifu/funasr1.0/data/list/audio_datasets.jsonl" \
+++cmvn_file="/Users/zhifu/funasr1.0/data/list/cmvn.json" \
+++dataset_conf.num_workers=0
+"""
if __name__ == "__main__":
main_hydra()
- """
- python funasr/bin/compute_status.py \
- --config-path "/Users/zhifu/funasr1.0/examples/aishell/conf" \
- --config-name "train_asr_paraformer_conformer_12e_6d_2048_256.yaml" \
- ++train_data_set_list="/Users/zhifu/funasr1.0/data/list/audio_datasets.jsonl" \
- ++cmvn_file="/Users/zhifu/funasr1.0/data/list/cmvn.json" \
- ++dataset_conf.num_workers=32
- """
\ No newline at end of file
--
Gitblit v1.9.1