File "/nfs/codes/PIFu-series/ECON/apps/infer.py", line 193, in <module>
sapiens_normal = sapiens_normal_net.process_image(
File "/nfs/codes/PIFu-series/ECON/apps/sapiens.py", line 65, in process_image
normal_model = ModelManager.load_model(Config.CHECKPOINTS[normal_model_name], self.device)
File "/nfs/codes/PIFu-series/ECON/apps/sapiens.py", line 37, in load_model
model = torch.jit.load(checkpoint_path)
File "/home/zlz/miniconda3/envs/econ/lib/python3.8/site-packages/torch/jit/_serialization.py", line 162, in load
cpp_module = torch._C.import_ir_module(cu, str(f), map_location, _extra_files)
RuntimeError:
Unknown builtin op: aten::scaled_dot_product_attention.
Here are some suggestions:
aten::_scaled_dot_product_attention
The original call is:
File "code/__torch__/mmpretrain/models/utils/attention.py", line 29
k = torch.select(qkv0, 0, 1)
v = torch.select(qkv0, 0, 2)
x = torch.scaled_dot_product_attention(q, k, v)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
input = torch.reshape(torch.transpose(x, 1, 2), [_0, _2, 1536])
_5 = (proj_drop).forward((proj).forward(input, ), )
I run
python -m apps.inferwith pytorch==1.13, python==3.8, and get the below error:how to solve it?