Comments (1)
I using GPU, so model.cuda()
and train.cuda()but, this error
Traceback (most recent call last):
File "/home/woon/anaconda3/envs/pytorch/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3417, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 10, in
train_predict_outputs = model(train_data)
File "/home/woon/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/home/woon/06_pytorch/Reference_code_/Pytorch-Transfomer-master/Network.py", line 74, in forward
e = self.encs0
File "/home/woon/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/home/woon/06_pytorch/Reference_code_/Pytorch-Transfomer-master/Network.py", line 19, in forward
a = self.attn(x)
File "/home/woon/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/home/woon/06_pytorch/Reference_code_/Pytorch-Transfomer-master/utils.py", line 50, in forward
a.append(h(x, kv = kv))
File "/home/woon/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/home/woon/06_pytorch/Reference_code_/Pytorch-Transfomer-master/utils.py", line 30, in forward
return attention(self.query(x), self.key(x), self.value(x))
File "/home/woon/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/home/woon/06_pytorch/Reference_code_/Pytorch-Transfomer-master/utils.py", line 97, in forward
x = self.fc1(x)
File "/home/woon/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/home/woon/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/modules/linear.py", line 87, in forward
return F.linear(input, self.weight, self.bias)
File "/home/woon/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/functional.py", line 1612, in linear
output = input.matmul(weight.t())
RuntimeError: Expected object of device type cuda but got device type cpu for argument #2 'mat2' in call to _th_mmChange the network ??
When defining Transformer in the Network.py file, you need to change self.encs=[] to self.encs=nn.ModuleList([]), I solved this problem by this way.
from pytorch-transfomer.
Related Issues (14)
- look ahead masking HOT 3
- It's seem not implement part of the test
- Decoder takes same inputs as Encoder
- damaged .ipynb file?
- multiple input output
- Where's the part about the mask
- Question regarding architecture
- something wrong about the prediction HOT 1
- Multi dimensional input HOT 1
- The code did not use dropout? HOT 1
- model.eval() does not reach internal layers
- Training on GPU HOT 1
- The output is nearly the same HOT 4
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pytorch-transfomer.