Is there any way to reshape tensor shape.

I ran into this problem using TensorDataset and Dataloader. I can’t use transforms here.

Any directly method without changing to numpy?

Thanks for ideas.

Is there any way to reshape tensor shape.

I ran into this problem using TensorDataset and Dataloader. I can’t use transforms here.

Any directly method without changing to numpy?

Thanks for ideas.

Hi,

Can `torch.nn.functional.interpolate`

this solve your issue?

Bests

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Yay, thanks.

As solution i have converted

`[20,784]`

i.e `[20,1,28,28]`

to `[20,1,32,32]`

using interpolate as

`xb = F.interpolate(xb, size=32,32) #The resize operation on tensor.`

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