From 54931dd4e1a099d7d6f144c4e12e5453deb3aa26 Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期三, 28 六月 2023 10:41:57 +0800
Subject: [PATCH] Merge branch 'main' of https://github.com/alibaba-damo-academy/FunASR into main

---
 funasr/tasks/diar.py |   43 +++++++++++++++++++++++++++++++++----------
 1 files changed, 33 insertions(+), 10 deletions(-)

diff --git a/funasr/tasks/diar.py b/funasr/tasks/diar.py
index 6204cb7..2625fec 100644
--- a/funasr/tasks/diar.py
+++ b/funasr/tasks/diar.py
@@ -1,3 +1,11 @@
+"""
+Author: Speech Lab, Alibaba Group, China
+SOND: Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis
+https://arxiv.org/abs/2211.10243
+TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization
+https://arxiv.org/abs/2303.05397
+"""
+
 import argparse
 import logging
 import os
@@ -50,7 +58,7 @@
 from funasr.modules.eend_ola.encoder_decoder_attractor import EncoderDecoderAttractor
 from funasr.tasks.abs_task import AbsTask
 from funasr.torch_utils.initialize import initialize
-from funasr.train.abs_espnet_model import AbsESPnetModel
+from funasr.models.base_model import FunASRModel
 from funasr.train.class_choices import ClassChoices
 from funasr.train.trainer import Trainer
 from funasr.utils.types import float_or_none
@@ -106,7 +114,7 @@
         sond=DiarSondModel,
         eend_ola=DiarEENDOLAModel,
     ),
-    type_check=AbsESPnetModel,
+    type_check=FunASRModel,
     default="sond",
 )
 encoder_choices = ClassChoices(
@@ -507,7 +515,7 @@
             config_file: Union[Path, str] = None,
             model_file: Union[Path, str] = None,
             cmvn_file: Union[Path, str] = None,
-            device: str = "cpu",
+            device: Union[str, torch.device] = "cpu",
     ):
         """Build model from the files.
 
@@ -536,9 +544,9 @@
             args["cmvn_file"] = cmvn_file
         args = argparse.Namespace(**args)
         model = cls.build_model(args)
-        if not isinstance(model, AbsESPnetModel):
+        if not isinstance(model, FunASRModel):
             raise RuntimeError(
-                f"model must inherit {AbsESPnetModel.__name__}, but got {type(model)}"
+                f"model must inherit {FunASRModel.__name__}, but got {type(model)}"
             )
         model.to(device)
         model_dict = dict()
@@ -553,7 +561,7 @@
                 if ".bin" in model_name:
                     model_name_pth = os.path.join(model_dir, model_name.replace('.bin', '.pb'))
                 else:
-                    model_name_pth = os.path.join(model_dir, "{}.pth".format(model_name))
+                    model_name_pth = os.path.join(model_dir, "{}.pb".format(model_name))
                 if os.path.exists(model_name_pth):
                     logging.info("model_file is load from pth: {}".format(model_name_pth))
                     model_dict = torch.load(model_name_pth, map_location=device)
@@ -562,12 +570,27 @@
                 model.load_state_dict(model_dict)
             else:
                 model_dict = torch.load(model_file, map_location=device)
+        model_dict = cls.fileter_model_dict(model_dict, model.state_dict())
         model.load_state_dict(model_dict)
         if model_name_pth is not None and not os.path.exists(model_name_pth):
             torch.save(model_dict, model_name_pth)
             logging.info("model_file is saved to pth: {}".format(model_name_pth))
 
         return model, args
+
+    @classmethod
+    def fileter_model_dict(cls, src_dict: dict, dest_dict: dict):
+        from collections import OrderedDict
+        new_dict = OrderedDict()
+        for key, value in src_dict.items():
+            if key in dest_dict:
+                new_dict[key] = value
+            else:
+                logging.info("{} is no longer needed in this model.".format(key))
+        for key, value in dest_dict.items():
+            if key not in new_dict:
+                logging.warning("{} is missed in checkpoint.".format(key))
+        return new_dict
 
     @classmethod
     def convert_tf2torch(
@@ -787,10 +810,10 @@
             cls, train: bool = True, inference: bool = False
     ) -> Tuple[str, ...]:
         if not inference:
-            retval = ("speech", "profile", "binary_labels")
+            retval = ("speech", )
         else:
             # Recognition mode
-            retval = ("speech")
+            retval = ("speech", )
         return retval
 
     @classmethod
@@ -879,9 +902,9 @@
             args = yaml.safe_load(f)
         args = argparse.Namespace(**args)
         model = cls.build_model(args)
-        if not isinstance(model, AbsESPnetModel):
+        if not isinstance(model, FunASRModel):
             raise RuntimeError(
-                f"model must inherit {AbsESPnetModel.__name__}, but got {type(model)}"
+                f"model must inherit {FunASRModel.__name__}, but got {type(model)}"
             )
         if model_file is not None:
             if device == "cuda":

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