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I have this code :

from torch.autograd import Variable d_real_data = Variable(d_sampler(d_input_size))

But I wonder what is the difference between Variable(d_sampler(d_input_size)) and d_sampler(d_input_size)

I think it is two tensors but the values are different. So I was wondering what is the goal of this function Variable ?

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Variable() was a way to to use autograd with tensors. This is now deprecated and should not be used anymore. Tensors now work fine with autograd if the requires_grad flag is set to true. From the official docs

The Variable API has been deprecated: Variables are no longer necessary to use autograd with tensors. Autograd automatically supports Tensors with requires_grad set to True.

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