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onnx模式释放模型降低占用

This commit is contained in:
zhiyang7 2021-12-29 16:54:30 +08:00
parent e8e6bf8f59
commit 8ac4684607
1 changed files with 15 additions and 13 deletions
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28
douzero/evaluation/deep_agent.py
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@ -30,19 +30,21 @@ def _load_model(position, model_path, model_type, use_legacy, use_lite, use_onnx
# torch.save(model.state_dict(), model_path.replace(".ckpt", "_nobn.ckpt"))
model.eval()
model_path = model_path + '.onnx'
if use_onnx and not os.path.exists(model_path):
onnx_params = model.get_onnx_params(torch.device('cpu'))
torch.onnx.export(
model,
onnx_params['args'],
model_path,
export_params=True,
opset_version=10,
do_constant_folding=True,
input_names=onnx_params['input_names'],
output_names=onnx_params['output_names'],
dynamic_axes=onnx_params['dynamic_axes']
)
if use_onnx:
if not os.path.exists(model_path):
onnx_params = model.get_onnx_params(torch.device('cpu'))
torch.onnx.export(
model,
onnx_params['args'],
model_path,
export_params=True,
opset_version=10,
do_constant_folding=True,
input_names=onnx_params['input_names'],
output_names=onnx_params['output_names'],
dynamic_axes=onnx_params['dynamic_axes']
)
return None
return model