Broadcast function not implemented for CPU tensors

#1

I am getting the error: Broadcast function not implemented for CPU tensors. The error is thrown at the forward pass of my model. I printed the input tensor to the model and it gives: Variable containing: ... [torch.cuda.FloatTensor of size 1024x1024 (GPU 0)]
My setup are 2 GPUs. My model is DataParallel.
When I run my model with CUDA_VISIBLE_DEVICES=1, I do not have this problem. But I would really like to utilize both the GPUs. Any ideas how why this error is given and how to prevent it?

LSTM example with multuple GPU error: module 'torch' has no attribute 'long'
(colesbury) #2

You have some parameters which are not on the GPU. Try calling model.cuda()

7 Likes
(Max) #3

I got the same problem, did you solve it?

#4

You can try model.cuda(), like colesbury says.

(Anh) #5

I en-counted this error when inference model on CPU-mode. How to solve it

#6

Hi, I encounter the same problem when I use 4 GPUs to train the model and try to convert the model to cpu. Do you have any solutions? Thanks!