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`WeightedRandomSampler` convert weights `dtype=torch.double` internally but `MPS` only support `dtype=torch.float32` about pytorch HOT 2 OPEN

Tack-Tau avatar Tack-Tau commented on June 3, 2024
`WeightedRandomSampler` convert weights `dtype=torch.double` internally but `MPS` only support `dtype=torch.float32`

from pytorch.

Comments (2)

malfet avatar malfet commented on June 3, 2024

It feels like solution is very simple: not to upcast but raise a warning...

from pytorch.

Tack-Tau avatar Tack-Tau commented on June 3, 2024

It feels like solution is very simple: not to upcast but raise a warning...

Or is it possible to keep the tensor dtype whenever you call WeightedRandomSampler with user's choice?
Or handle the tensor type dynamically like weights_tensor = torch.as_tensor(weights, dtype=torch.float32) if weights.device.type=="mps" else torch.as_tensor(weights, dtype=torch.float64) ?

from pytorch.

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