From ad99b15120a456095e482a1b6b0fc8a06814a776 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 29 二月 2024 16:07:42 +0800
Subject: [PATCH] cer
---
funasr/train_utils/load_pretrained_model.py | 80 +++++++++++-----------------------------
1 files changed, 22 insertions(+), 58 deletions(-)
diff --git a/funasr/train_utils/load_pretrained_model.py b/funasr/train_utils/load_pretrained_model.py
index 520aaca..84c6320 100644
--- a/funasr/train_utils/load_pretrained_model.py
+++ b/funasr/train_utils/load_pretrained_model.py
@@ -38,52 +38,17 @@
)
return match_state
-def assigment_scope_map(dst_state: dict, src_state: dict, scope_map: str=None):
- """Compute the union of the current variables and checkpoint variables."""
- import collections
- import re
-
- # current model variables
- name_to_variable = collections.OrderedDict()
- for name, var in dst_state.items():
- name_to_variable[name] = var
-
- scope_map_num = 0
- if scope_map is not None:
- scope_map = scope_map.split(",")
- scope_map_num = len(scope_map) // 2
- for scope_map_idx in range(scope_map_num):
- scope_map_id = scope_map_idx * 2
- logging.info('assignment_map from scope {} to {}'.format(scope_map[scope_map_id], scope_map[scope_map_id+1]))
-
- assignment_map = {}
- for name, var in src_state.items():
-
- if scope_map:
- for scope_map_idx in range(scope_map_num):
- scope_map_id = scope_map_idx * 2
- try:
- idx = name.index(scope_map[scope_map_id])
- new_name = scope_map[scope_map_id+1] + name[idx + len(scope_map[scope_map_id]):]
- if new_name in name_to_variable:
- assignment_map[name] = var
- except:
- continue
- else:
- if name in name_to_variable:
- assignment_map[name] = var
-
- return assignment_map
-
def load_pretrained_model(
path: str,
model: torch.nn.Module,
- ignore_init_mismatch: bool,
+ ignore_init_mismatch: bool=True,
map_location: str = "cpu",
oss_bucket=None,
- scope_map="module.:none",
+ scope_map=[],
excludes=None,
+ ignore_mismatch=False,
+ **kwargs,
):
"""Load a model state and set it to the model.
@@ -110,12 +75,10 @@
if isinstance(scope_map, str):
scope_map = scope_map.split(",")
+ scope_map += ["module.", "None"]
for k in dst_state.keys():
- # if not k.startswith("module.") and "module." + k in src_state.keys():
- # k_ddp = "module." + k
- # else:
- # k_ddp = k
+
k_src = k
if scope_map is not None:
@@ -124,24 +87,25 @@
for i in range(0, len(scope_map), 2):
src_prefix = scope_map[i] if scope_map[i].lower() != "none" else ""
dst_prefix = scope_map[i+1] if scope_map[i+1].lower() != "none" else ""
-
- if k.startswith(dst_prefix) and k.replace(dst_prefix, src_prefix) in src_state.keys():
- k_src = k.replace(dst_prefix, src_prefix)
- print(f"init param, map: {k} from {k_src} in ckpt")
+
+ if dst_prefix == "" and (src_prefix + k) in src_state.keys():
+ k_src = src_prefix + k
+ if not k_src.startswith("module."):
+ print(f"init param, map: {k} from {k_src} in ckpt")
+ elif k.startswith(dst_prefix) and k.replace(dst_prefix, src_prefix, 1) in src_state.keys():
+ k_src = k.replace(dst_prefix, src_prefix, 1)
+ if not k_src.startswith("module."):
+ print(f"init param, map: {k} from {k_src} in ckpt")
if k_src in src_state.keys():
- dst_state[k] = src_state[k_src]
-
- # if k_ddp.startswith("audio_encoder"):
- # if k_ddp.replace("audio_encoder", "encoder.model") in src_state.keys():
- # k_ddp = k_ddp.replace("audio_encoder", "encoder.model")
- # if k_ddp.startswith("adaptor"):
- # if k_ddp.replace("adaptor", "encoder_projector") in src_state.keys():
- # k_ddp = k_ddp.replace("adaptor", "encoder_projector")
- # if k_ddp in src_state:
- # dst_state[k] = src_state[k_ddp]
+ if ignore_init_mismatch and dst_state[k].shape != src_state[k_src].shape:
+ print(f"ignore_mismatch:{ignore_mismatch}, dst: {k, dst_state[k].shape}, src: {k_src, src_state[k_src].shape}")
+ else:
+ dst_state[k] = src_state[k_src]
+
+
else:
print(f"Warning, miss key in ckpt: {k}, mapped: {k_src}")
- flag = obj.load_state_dict(dst_state, strict=False)
+ flag = obj.load_state_dict(dst_state, strict=True)
# print(flag)
--
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