From 38de2af5bf9976d2f14f087d9a0d31991daf6783 Mon Sep 17 00:00:00 2001
From: Zhihao Du <neo.dzh@alibaba-inc.com>
Date: 星期四, 16 三月 2023 19:41:34 +0800
Subject: [PATCH] Merge branch 'main' into dev_dzh

---
 funasr/train/trainer.py |   36 ++++++++++++++++++------------------
 1 files changed, 18 insertions(+), 18 deletions(-)

diff --git a/funasr/train/trainer.py b/funasr/train/trainer.py
index 50bce47..efe2009 100644
--- a/funasr/train/trainer.py
+++ b/funasr/train/trainer.py
@@ -205,9 +205,9 @@
         else:
             scaler = None
 
-        if trainer_options.resume and (output_dir / "checkpoint.pth").exists():
+        if trainer_options.resume and (output_dir / "checkpoint.pb").exists():
             cls.resume(
-                checkpoint=output_dir / "checkpoint.pth",
+                checkpoint=output_dir / "checkpoint.pb",
                 model=model,
                 optimizers=optimizers,
                 schedulers=schedulers,
@@ -361,7 +361,7 @@
                         },
                         buffer,
                     )
-                    trainer_options.oss_bucket.put_object(os.path.join(trainer_options.output_dir, "checkpoint.pth"), buffer.getvalue())
+                    trainer_options.oss_bucket.put_object(os.path.join(trainer_options.output_dir, "checkpoint.pb"), buffer.getvalue())
                 else:
                     torch.save(
                         {
@@ -374,7 +374,7 @@
                             ],
                             "scaler": scaler.state_dict() if scaler is not None else None,
                         },
-                        output_dir / "checkpoint.pth",
+                        output_dir / "checkpoint.pb",
                     )
 
                 # 5. Save and log the model and update the link to the best model
@@ -382,22 +382,22 @@
                     buffer = BytesIO()
                     torch.save(model.state_dict(), buffer)
                     trainer_options.oss_bucket.put_object(os.path.join(trainer_options.output_dir,
-                                                                       f"{iepoch}epoch.pth"),buffer.getvalue())
+                                                                       f"{iepoch}epoch.pb"),buffer.getvalue())
                 else:
-                    torch.save(model.state_dict(), output_dir / f"{iepoch}epoch.pth")
+                    torch.save(model.state_dict(), output_dir / f"{iepoch}epoch.pb")
 
-                # Creates a sym link latest.pth -> {iepoch}epoch.pth
+                # Creates a sym link latest.pb -> {iepoch}epoch.pb
                 if trainer_options.use_pai:
-                    p = os.path.join(trainer_options.output_dir, "latest.pth")
+                    p = os.path.join(trainer_options.output_dir, "latest.pb")
                     if trainer_options.oss_bucket.object_exists(p):
                         trainer_options.oss_bucket.delete_object(p)
                     trainer_options.oss_bucket.copy_object(trainer_options.oss_bucket.bucket_name,
-                                           os.path.join(trainer_options.output_dir, f"{iepoch}epoch.pth"), p)
+                                           os.path.join(trainer_options.output_dir, f"{iepoch}epoch.pb"), p)
                 else:
-                    p = output_dir / "latest.pth"
+                    p = output_dir / "latest.pb"
                     if p.is_symlink() or p.exists():
                         p.unlink()
-                    p.symlink_to(f"{iepoch}epoch.pth")
+                    p.symlink_to(f"{iepoch}epoch.pb")
 
                 _improved = []
                 for _phase, k, _mode in trainer_options.best_model_criterion:
@@ -407,16 +407,16 @@
                         # Creates sym links if it's the best result
                         if best_epoch == iepoch:
                             if trainer_options.use_pai:
-                                p = os.path.join(trainer_options.output_dir, f"{_phase}.{k}.best.pth")
+                                p = os.path.join(trainer_options.output_dir, f"{_phase}.{k}.best.pb")
                                 if trainer_options.oss_bucket.object_exists(p):
                                     trainer_options.oss_bucket.delete_object(p)
                                 trainer_options.oss_bucket.copy_object(trainer_options.oss_bucket.bucket_name,
-                                                       os.path.join(trainer_options.output_dir, f"{iepoch}epoch.pth"),p)
+                                                       os.path.join(trainer_options.output_dir, f"{iepoch}epoch.pb"),p)
                             else:
-                                p = output_dir / f"{_phase}.{k}.best.pth"
+                                p = output_dir / f"{_phase}.{k}.best.pb"
                                 if p.is_symlink() or p.exists():
                                     p.unlink()
-                                p.symlink_to(f"{iepoch}epoch.pth")
+                                p.symlink_to(f"{iepoch}epoch.pb")
                             _improved.append(f"{_phase}.{k}")
                 if len(_improved) == 0:
                     logging.info("There are no improvements in this epoch")
@@ -438,7 +438,7 @@
                         type="model",
                         metadata={"improved": _improved},
                     )
-                    artifact.add_file(str(output_dir / f"{iepoch}epoch.pth"))
+                    artifact.add_file(str(output_dir / f"{iepoch}epoch.pb"))
                     aliases = [
                         f"epoch-{iepoch}",
                         "best" if best_epoch == iepoch else "",
@@ -473,12 +473,12 @@
 
                 for e in range(1, iepoch):
                     if trainer_options.use_pai:
-                        p = os.path.join(trainer_options.output_dir, f"{e}epoch.pth")
+                        p = os.path.join(trainer_options.output_dir, f"{e}epoch.pb")
                         if trainer_options.oss_bucket.object_exists(p) and e not in nbests:
                             trainer_options.oss_bucket.delete_object(p)
                             _removed.append(str(p))
                     else:
-                        p = output_dir / f"{e}epoch.pth"
+                        p = output_dir / f"{e}epoch.pb"
                         if p.exists() and e not in nbests:
                             p.unlink()
                             _removed.append(str(p))

--
Gitblit v1.9.1