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Traceback (most recent call last):
File "C:\Users\work\project\structure\deepblast-master\testDeepBlast.py", line 19, in
pred_alignment = model.align(x, y)
File "C:\Users\work\project\structure\deepblast-master\deepblast\trainer.py", line 84, in align
decoded, _ = next(gen)
File "C:\Users\work\project\structure\deepblast-master\deepblast\alignment.py", line 160, in traceback
zx, gx = self.blosum_factor(hx)
File "C:\Users\work\project\structure\deepblast-master\deepblast\alignment.py", line 95, in blosum_factor
zx = self.match_embedding(hx)
File "C:\Users\miniconda3\envs\torch10\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\work\project\structure\deepblast-master\deepblast\embedding.py", line 157, in forward
h = self.embed(x)
File "C:\Users\miniconda3\envs\torch10\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\miniconda3\envs\torch10\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 must have the same dtype
The text was updated successfully, but these errors were encountered:
On Sat, Sep 16, 2023 at 12:05 AM QUEST2179 ***@***.***> wrote:
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Traceback (most recent call last):
File "C:\Users\work\project\structure\deepblast-master\testDeepBlast.py",
line 19, in
pred_alignment = model.align(x, y)
File
"C:\Users\work\project\structure\deepblast-master\deepblast\trainer.py",
line 84, in align
decoded, _ = next(gen)
File
"C:\Users\work\project\structure\deepblast-master\deepblast\alignment.py",
line 160, in traceback
zx, gx = self.blosum_factor(hx)
File
"C:\Users\work\project\structure\deepblast-master\deepblast\alignment.py",
line 95, in blosum_factor
zx = self.match_embedding(hx)
File
"C:\Users\miniconda3\envs\torch10\lib\site-packages\torch\nn\modules\module.py",
line 1501, in _call_impl
return forward_call(*args, **kwargs)
File
"C:\Users\work\project\structure\deepblast-master\deepblast\embedding.py",
line 157, in forward
h = self.embed(x)
File
"C:\Users\miniconda3\envs\torch10\lib\site-packages\torch\nn\modules\module.py",
line 1501, in _call_impl
return forward_call(*args, **kwargs)
File
"C:\Users\miniconda3\envs\torch10\lib\site-packages\torch\nn\modules\linear.py",
line 114, in forward
return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 must have the same dtype
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Traceback (most recent call last):
File "C:\Users\work\project\structure\deepblast-master\testDeepBlast.py", line 19, in
pred_alignment = model.align(x, y)
File "C:\Users\work\project\structure\deepblast-master\deepblast\trainer.py", line 84, in align
decoded, _ = next(gen)
File "C:\Users\work\project\structure\deepblast-master\deepblast\alignment.py", line 160, in traceback
zx, gx = self.blosum_factor(hx)
File "C:\Users\work\project\structure\deepblast-master\deepblast\alignment.py", line 95, in blosum_factor
zx = self.match_embedding(hx)
File "C:\Users\miniconda3\envs\torch10\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\work\project\structure\deepblast-master\deepblast\embedding.py", line 157, in forward
h = self.embed(x)
File "C:\Users\miniconda3\envs\torch10\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\miniconda3\envs\torch10\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 must have the same dtype
The text was updated successfully, but these errors were encountered: