From 7e25315a4f8e9dc5aa3c8162fa176fb2d2be19cc Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 11:32:51 +0800
Subject: [PATCH] update

---
 funasr/bin/train.py |   25 +++++++++++++++++++++----
 1 files changed, 21 insertions(+), 4 deletions(-)

diff --git a/funasr/bin/train.py b/funasr/bin/train.py
index e861199..a7a85f8 100644
--- a/funasr/bin/train.py
+++ b/funasr/bin/train.py
@@ -1,3 +1,5 @@
+#!/usr/bin/env python3
+
 import argparse
 import logging
 import os
@@ -12,6 +14,7 @@
 from funasr.build_utils.build_model import build_model
 from funasr.build_utils.build_optimizer import build_optimizer
 from funasr.build_utils.build_scheduler import build_scheduler
+from funasr.build_utils.build_trainer import build_trainer
 from funasr.text.phoneme_tokenizer import g2p_choices
 from funasr.torch_utils.model_summary import model_summary
 from funasr.torch_utils.pytorch_version import pytorch_cudnn_version
@@ -420,16 +423,16 @@
     prepare_data(args, distributed_option)
 
     model = build_model(args)
-    optimizer = build_optimizer(args, model=model)
-    scheduler = build_scheduler(args, optimizer)
+    optimizers = build_optimizer(args, model=model)
+    schedulers = build_scheduler(args, optimizers)
 
     logging.info("world size: {}, rank: {}, local_rank: {}".format(distributed_option.dist_world_size,
                                                                    distributed_option.dist_rank,
                                                                    distributed_option.local_rank))
     logging.info(pytorch_cudnn_version())
     logging.info(model_summary(model))
-    logging.info("Optimizer: {}".format(optimizer))
-    logging.info("Scheduler: {}".format(scheduler))
+    logging.info("Optimizer: {}".format(optimizers))
+    logging.info("Scheduler: {}".format(schedulers))
 
     # dump args to config.yaml
     if not distributed_option.distributed or distributed_option.dist_rank == 0:
@@ -443,4 +446,18 @@
             else:
                 yaml_no_alias_safe_dump(vars(args), f, indent=4, sort_keys=False)
 
+    # dataloader for training/validation
     train_dataloader, valid_dataloader = build_dataloader(args)
+
+    # Trainer, including model, optimizers, etc.
+    trainer = build_trainer(
+        args=args,
+        model=model,
+        optimizers=optimizers,
+        schedulers=schedulers,
+        train_dataloader=train_dataloader,
+        valid_dataloader=valid_dataloader,
+        distributed_option=distributed_option
+    )
+
+    trainer.run()

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