torch.foreach.sigmoid_

torch.foreach.sigmoid_(inputs: TensorList, /) → tuple[Tensor, ...] | list[Tensor]

Applies torch.sigmoid() to each tensor in inputs in-place.

This is semantically equivalent to applying torch.sigmoid() independently at every list position. Mutates every tensor in inputs and returns the exact input container object.

Tensor-list arguments must be non-empty. An accelerated multi-tensor implementation is used only when supported by the inputs; otherwise the operation falls back to per-tensor execution.

Parameters:

inputs (list or tuple of Tensor) – tensors to transform.

Returns:

the exact input list or tuple.