From 3d9f094e9652d4b84894c6fd4eae39a4a753b0f0 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 16 五月 2023 23:48:00 +0800
Subject: [PATCH] train
---
funasr/bin/asr_train.py | 10 ++++++----
funasr/tasks/asr.py | 50 +++++++++++++++++++++++++++++---------------------
2 files changed, 35 insertions(+), 25 deletions(-)
diff --git a/funasr/bin/asr_train.py b/funasr/bin/asr_train.py
index 9e1dd30..38a42b3 100755
--- a/funasr/bin/asr_train.py
+++ b/funasr/bin/asr_train.py
@@ -34,6 +34,8 @@
from funasr.tasks.asr import ASRTask
if args.mode == "paraformer":
from funasr.tasks.asr import ASRTaskParaformer as ASRTask
+ if args.mode == "uniasr":
+ from funasr.tasks.asr import ASRTaskUniASR as ASRTask
ASRTask.main(args=args, cmd=cmd)
@@ -42,8 +44,7 @@
args = parse_args()
# setup local gpu_id
- if args.ngpu > 0:
- os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_id)
+ os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_id)
# DDP settings
if args.ngpu > 1:
@@ -54,9 +55,10 @@
# re-compute batch size: when dataset type is small
if args.dataset_type == "small":
- if args.batch_size is not None and args.ngpu > 0:
+ if args.batch_size is not None:
args.batch_size = args.batch_size * args.ngpu
- if args.batch_bins is not None and args.ngpu > 0:
+ if args.batch_bins is not None:
args.batch_bins = args.batch_bins * args.ngpu
main(args=args)
+
diff --git a/funasr/tasks/asr.py b/funasr/tasks/asr.py
index 387b25f..d218902 100644
--- a/funasr/tasks/asr.py
+++ b/funasr/tasks/asr.py
@@ -282,6 +282,14 @@
decoder_choices,
# --predictor and --predictor_conf
predictor_choices,
+ # --encoder2 and --encoder2_conf
+ encoder_choices2,
+ # --decoder2 and --decoder2_conf
+ decoder_choices2,
+ # --predictor2 and --predictor2_conf
+ predictor_choices2,
+ # --stride_conv and --stride_conv_conf
+ stride_conv_choices,
]
# If you need to modify train() or eval() procedures, change Trainer class here
@@ -901,27 +909,27 @@
# If you need more than one optimizers, change this value
num_optimizers: int = 1
- # Add variable objects configurations
- class_choices_list = [
- # --frontend and --frontend_conf
- frontend_choices,
- # --specaug and --specaug_conf
- specaug_choices,
- # --normalize and --normalize_conf
- normalize_choices,
- # --model and --model_conf
- model_choices,
- # --preencoder and --preencoder_conf
- preencoder_choices,
- # --encoder and --encoder_conf
- encoder_choices,
- # --postencoder and --postencoder_conf
- postencoder_choices,
- # --decoder and --decoder_conf
- decoder_choices,
- # --predictor and --predictor_conf
- predictor_choices,
- ]
+ # # Add variable objects configurations
+ # class_choices_list = [
+ # # --frontend and --frontend_conf
+ # frontend_choices,
+ # # --specaug and --specaug_conf
+ # specaug_choices,
+ # # --normalize and --normalize_conf
+ # normalize_choices,
+ # # --model and --model_conf
+ # model_choices,
+ # # --preencoder and --preencoder_conf
+ # preencoder_choices,
+ # # --encoder and --encoder_conf
+ # encoder_choices,
+ # # --postencoder and --postencoder_conf
+ # postencoder_choices,
+ # # --decoder and --decoder_conf
+ # decoder_choices,
+ # # --predictor and --predictor_conf
+ # predictor_choices,
+ # ]
# If you need to modify train() or eval() procedures, change Trainer class here
trainer = Trainer
--
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