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fbcode/vision/fair/pytorch3d/pytorch3d/transforms/rotation_conversions.py

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Reviewed By: bottler

Differential Revision: D93712828

fbshipit-source-id: 3465af450104bb1e5f491e3c0ee0259698cf8ceb
This commit is contained in:
generatedunixname1417043136753450
2026-02-22 07:53:20 -08:00
committed by meta-codesync[bot]
parent 49f43402c6
commit e43ed8c76e
1 changed files with 13 additions and 14 deletions
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pytorch3d/transforms/rotation_conversions.py
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@@ -52,8 +52,7 @@ def quaternion_to_matrix(quaternions: torch.Tensor) -> torch.Tensor:
Rotation matrices as tensor of shape (..., 3, 3). Rotation matrices as tensor of shape (..., 3, 3).
""" """
r, i, j, k = torch.unbind(quaternions, -1) r, i, j, k = torch.unbind(quaternions, -1)
# pyre-fixme[58]: `/` is not supported for operand types `float` and `Tensor`. two_s = torch.div(2.0, (quaternions * quaternions).sum(-1))
two_s = 2.0 / (quaternions * quaternions).sum(-1)
o = torch.stack( o = torch.stack(
( (
@@ -137,18 +136,18 @@ def matrix_to_quaternion(matrix: torch.Tensor) -> torch.Tensor:
# we produce the desired quaternion multiplied by each of r, i, j, k # we produce the desired quaternion multiplied by each of r, i, j, k
quat_by_rijk = torch.stack( quat_by_rijk = torch.stack(
[ [
# pyre-fixme[58]: `**` is not supported for operand types `Tensor` and torch.stack(
# `int`. [torch.square(q_abs[..., 0]), m21 - m12, m02 - m20, m10 - m01], dim=-1
torch.stack([q_abs[..., 0] ** 2, m21 - m12, m02 - m20, m10 - m01], dim=-1), ),
# pyre-fixme[58]: `**` is not supported for operand types `Tensor` and torch.stack(
# `int`. [m21 - m12, torch.square(q_abs[..., 1]), m10 + m01, m02 + m20], dim=-1
torch.stack([m21 - m12, q_abs[..., 1] ** 2, m10 + m01, m02 + m20], dim=-1), ),
# pyre-fixme[58]: `**` is not supported for operand types `Tensor` and torch.stack(
# `int`. [m02 - m20, m10 + m01, torch.square(q_abs[..., 2]), m12 + m21], dim=-1
torch.stack([m02 - m20, m10 + m01, q_abs[..., 2] ** 2, m12 + m21], dim=-1), ),
# pyre-fixme[58]: `**` is not supported for operand types `Tensor` and torch.stack(
# `int`. [m10 - m01, m20 + m02, m21 + m12, torch.square(q_abs[..., 3])], dim=-1
torch.stack([m10 - m01, m20 + m02, m21 + m12, q_abs[..., 3] ** 2], dim=-1), ),
], ],
dim=-2, dim=-2,
) )