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Pytorch expects each tensor to be equal size
- How to solve Pytorch expects each tensor to be equal size
As per PyTorch Docs about
torch.stack()function, it needs the input tensors in the same shape to stack. I don't know how will you be using theembedding_matrixbut either you can add padding to your tensors (which will be a list of zeros at the end till a certain user-defined length and is recommended if you will train with this stacked tensor, refer this tutorial) to make them equidimensional or you can simply use something liketorch.cat(data,dim=0). - Pytorch expects each tensor to be equal size
As per PyTorch Docs about
torch.stack()function, it needs the input tensors in the same shape to stack. I don't know how will you be using theembedding_matrixbut either you can add padding to your tensors (which will be a list of zeros at the end till a certain user-defined length and is recommended if you will train with this stacked tensor, refer this tutorial) to make them equidimensional or you can simply use something liketorch.cat(data,dim=0).
Solution 1
As per PyTorch Docs about torch.stack() function, it needs the input tensors in the same shape to stack. I don’t know how will you be using the embedding_matrix but either you can add padding to your tensors (which will be a list of zeros at the end till a certain user-defined length and is recommended if you will train with this stacked tensor, refer this tutorial) to make them equidimensional or you can simply use something like torch.cat(data,dim=0).
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Conclusion
So This is all About This Tutorial. Hope This Tutorial Helped You. Thank You.
