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init param

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游雁 2024-02-28 19:12:02 +08:00
parent 5d916b5a8a
commit 811ebea5b0
1 changed files with 11 additions and 53 deletions
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64
funasr/train_utils/load_pretrained_model.py
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@ -38,52 +38,17 @@ def filter_state_dict(
)
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",
excludes=None,
ignore_mismatch=False,
**kwargs,
):
"""Load a model state and set it to the model.
@ -112,10 +77,7 @@ def load_pretrained_model(
scope_map = scope_map.split(",")
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:
@ -130,18 +92,14 @@ def load_pretrained_model(
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)