You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When I run the tutorial code for DSSM, the following error appears: RuntimeError: Expected object of scalar type Float but got scalar type Double for argument #2 'mat1' in call to _th_addmm
please find the details below:
RuntimeError Traceback (most recent call last)
in
----> 1 trainer.run()
~/opt/anaconda3/lib/python3.7/site-packages/matchzoo_py-1.1.1-py3.7.egg/matchzoo/trainers/trainer.py in run(self)
225 for epoch in range(self._start_epoch, self._epochs + 1):
226 self._epoch = epoch
--> 227 self._run_epoch()
228 self._run_scheduler()
229 if self._early_stopping.should_stop_early:
~/opt/anaconda3/lib/python3.7/site-packages/matchzoo_py-1.1.1-py3.7.egg/matchzoo/trainers/trainer.py in _run_epoch(self)
250 disable=not self._verbose) as pbar:
251 for step, (inputs, target) in pbar:
--> 252 outputs = self._model(inputs)
253 # Caculate all losses and sum them up
254 loss = torch.sum(
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
720 result = self._slow_forward(*input, **kwargs)
721 else:
--> 722 result = self.forward(*input, **kwargs)
723 for hook in itertools.chain(
724 _global_forward_hooks.values(),
~/opt/anaconda3/lib/python3.7/site-packages/matchzoo_py-1.1.1-py3.7.egg/matchzoo/models/dssm.py in forward(self, inputs)
89
90 # print (inputs['ngram_left'])
---> 91 # print (inputs['ngram_right'])
92 # Process left & right input.
93 input_left, input_right = inputs['ngram_left'], inputs['ngram_right'].float()
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
720 result = self._slow_forward(*input, **kwargs)
721 else:
--> 722 result = self.forward(*input, **kwargs)
723 for hook in itertools.chain(
724 _global_forward_hooks.values(),
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/container.py in forward(self, input)
115 def forward(self, input):
116 for module in self:
--> 117 input = module(input)
118 return input
119
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
720 result = self._slow_forward(*input, **kwargs)
721 else:
--> 722 result = self.forward(*input, **kwargs)
723 for hook in itertools.chain(
724 _global_forward_hooks.values(),
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/container.py in forward(self, input)
115 def forward(self, input):
116 for module in self:
--> 117 input = module(input)
118 return input
119
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
720 result = self._slow_forward(*input, **kwargs)
721 else:
--> 722 result = self.forward(*input, **kwargs)
723 for hook in itertools.chain(
724 _global_forward_hooks.values(),
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/functional.py in linear(input, weight, bias)
1672 if input.dim() == 2 and bias is not None:
1673 # fused op is marginally faster
-> 1674 ret = torch.addmm(bias, input, weight.t())
1675 else:
1676 output = input.matmul(weight.t())
RuntimeError: Expected object of scalar type Float but got scalar type Double for argument #2 'mat1' in call to _th_addmm
Describe the bug
When I run the tutorial code for DSSM, the following error appears:
RuntimeError: Expected object of scalar type Float but got scalar type Double for argument #2 'mat1' in call to _th_addmm
please find the details below:
RuntimeError Traceback (most recent call last)
in
----> 1 trainer.run()
~/opt/anaconda3/lib/python3.7/site-packages/matchzoo_py-1.1.1-py3.7.egg/matchzoo/trainers/trainer.py in run(self)
225 for epoch in range(self._start_epoch, self._epochs + 1):
226 self._epoch = epoch
--> 227 self._run_epoch()
228 self._run_scheduler()
229 if self._early_stopping.should_stop_early:
~/opt/anaconda3/lib/python3.7/site-packages/matchzoo_py-1.1.1-py3.7.egg/matchzoo/trainers/trainer.py in _run_epoch(self)
250 disable=not self._verbose) as pbar:
251 for step, (inputs, target) in pbar:
--> 252 outputs = self._model(inputs)
253 # Caculate all losses and sum them up
254 loss = torch.sum(
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
720 result = self._slow_forward(*input, **kwargs)
721 else:
--> 722 result = self.forward(*input, **kwargs)
723 for hook in itertools.chain(
724 _global_forward_hooks.values(),
~/opt/anaconda3/lib/python3.7/site-packages/matchzoo_py-1.1.1-py3.7.egg/matchzoo/models/dssm.py in forward(self, inputs)
89
90 # print (inputs['ngram_left'])
---> 91 # print (inputs['ngram_right'])
92 # Process left & right input.
93 input_left, input_right = inputs['ngram_left'], inputs['ngram_right'].float()
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
720 result = self._slow_forward(*input, **kwargs)
721 else:
--> 722 result = self.forward(*input, **kwargs)
723 for hook in itertools.chain(
724 _global_forward_hooks.values(),
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/container.py in forward(self, input)
115 def forward(self, input):
116 for module in self:
--> 117 input = module(input)
118 return input
119
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
720 result = self._slow_forward(*input, **kwargs)
721 else:
--> 722 result = self.forward(*input, **kwargs)
723 for hook in itertools.chain(
724 _global_forward_hooks.values(),
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/container.py in forward(self, input)
115 def forward(self, input):
116 for module in self:
--> 117 input = module(input)
118 return input
119
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
720 result = self._slow_forward(*input, **kwargs)
721 else:
--> 722 result = self.forward(*input, **kwargs)
723 for hook in itertools.chain(
724 _global_forward_hooks.values(),
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/modules/linear.py in forward(self, input)
89
90 def forward(self, input: Tensor) -> Tensor:
---> 91 return F.linear(input, self.weight, self.bias)
92
93 def extra_repr(self) -> str:
~/opt/anaconda3/lib/python3.7/site-packages/torch/nn/functional.py in linear(input, weight, bias)
1672 if input.dim() == 2 and bias is not None:
1673 # fused op is marginally faster
-> 1674 ret = torch.addmm(bias, input, weight.t())
1675 else:
1676 output = input.matmul(weight.t())
RuntimeError: Expected object of scalar type Float but got scalar type Double for argument #2 'mat1' in call to _th_addmm
Describe your attempts
I am trying to address this problem according to the following post:
https://stackoverflow.com/questions/56741087/how-to-fix-runtimeerror-expected-object-of-scalar-type-float-but-got-scalar-typ/56741419
But it seems not working by adding float().
Context
The text was updated successfully, but these errors were encountered: