DouZero
/
Douzero_Resnet
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

修复BUG

This commit is contained in:
zhiyang7 2021-12-29 17:13:22 +08:00
parent 2b607afc29
commit c970a59655
1 changed files with 4 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
douzero/evaluation/deep_agent.py
View File

@ -8,8 +8,8 @@ from douzero.env.env import get_obs
def _load_model(position, model_path, model_type, use_legacy, use_lite, use_onnx=False): def _load_model(position, model_path, model_type, use_legacy, use_lite, use_onnx=False):
from douzero.dmc.models import model_dict_new, model_dict_new_lite, model_dict, model_dict_legacy, model_dict_lite from douzero.dmc.models import model_dict_new, model_dict_new_lite, model_dict, model_dict_legacy, model_dict_lite
model_path = model_path + '.onnx' model_path_onnx = model_path + '.onnx'
if use_onnx and os.path.exists(model_path): if use_onnx and os.path.exists(model_path_onnx):
return None return None
model = None model = None
if model_type == "general": if model_type == "general":
@ -30,14 +30,13 @@ def _load_model(position, model_path, model_type, use_legacy, use_lite, use_onnx
pretrained = {k: v for k, v in pretrained.items() if k in model_state_dict} pretrained = {k: v for k, v in pretrained.items() if k in model_state_dict}
model_state_dict.update(pretrained) model_state_dict.update(pretrained)
model.load_state_dict(model_state_dict) model.load_state_dict(model_state_dict)
# torch.save(model.state_dict(), model_path.replace(".ckpt", "_nobn.ckpt"))
model.eval() model.eval()
if use_onnx and not os.path.exists(model_path): if use_onnx and not os.path.exists(model_path_onnx):
onnx_params = model.get_onnx_params(torch.device('cpu')) onnx_params = model.get_onnx_params(torch.device('cpu'))
torch.onnx.export( torch.onnx.export(
model, model,
onnx_params['args'], onnx_params['args'],
model_path, model_path_onnx,
export_params=True, export_params=True,
opset_version=10, opset_version=10,
do_constant_folding=True, do_constant_folding=True,