pytorch / pytorch/rl

[BUG] BoundedTensorSpec zero() returns out of bounds tensor

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@vmoens is already working on this.

Since Aug 11, 2023.

  • #1617 by @vmoens — closed without merging
bug
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Description

Describe the bug

Calling zero() on the BoundedTensorSpec will return a tensor that is out of bounds. Would it make sense to return the minimum instead? Or raise an error?

My use case is initializing a nonzero recurrent state using TensorDictPrimer.

To Reproduce

from torchrl.data import BoundedTensorSpec
BoundedTensorSpec(minimum=1, maximum=2, shape=(3,)).zero()

>>> tensor([0., 0., 0.])

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