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License: MIT License
An industrial-grade implementation of DSSM
License: MIT License
使用Test样例:
for query in queries_cut:
for doc in documents_cut:
text_left = query
text_right = doc
model = DSSM('./dssm-model', device='cuda:1')
vectors = model.encode([text_left, text_right])
错误信息
如下:
Traceback (most recent call last):
File "/xxxxxx/workspace/xxxxxx/eval_cuda.py", line 20, in <module>
vectors = model.encode([text_left, text_right])
File "/xxxxxx/miniconda3/envs/xxxxxx/lib/python3.9/site-packages/dssm/model.py", line 257, in encode
vectors = self.mlp_left(vectors).tolist()
File "/xxxxxx/miniconda3/envs/xxxxxx/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/xxxxxx/miniconda3/envs/xxxxxx/lib/python3.9/site-packages/torch/nn/modules/container.py", line 141, in forward
input = module(input)
File "/xxxxxx/envs/xxxxxx/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/xxxxxx/miniconda3/envs/xxxxxx/lib/python3.9/site-packages/torch/nn/modules/container.py", line 141, in forward
input = module(input)
File "/xxxxxx/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/xxxxxx/lib/python3.9/site-packages/torch/nn/modules/linear.py", line 103, in forward
return F.linear(input, self.weight, self.bias)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cpu! (when checking argument for argument mat1 in method wrapper_addmm)
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