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Deprecate so3_exponential_map

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Summary: Deprecate the `so3_exponential_map()` function in favor of its alias `so3_exp_map()`: this aligns with the naming of `so3_log_map()` and the recently introduced `se3_exp_map()` / `se3_log_map()` pair.

Reviewed By: bottler

Differential Revision: D29329966

fbshipit-source-id: b6f60b9e86b2995f70b1fbeb16f9feea05c55de9
This commit is contained in:
Patrick Labatut
2021-06-28 04:27:12 -07:00
committed by Facebook GitHub Bot
parent f593bfd3c2
commit 5284de6e97
11 changed files with 35 additions and 28 deletions
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6
tests/test_cameras.py
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@@ -53,7 +53,7 @@ from pytorch3d.renderer.cameras import (
)
from pytorch3d.transforms import Transform3d
from pytorch3d.transforms.rotation_conversions import random_rotations
from pytorch3d.transforms.so3 import so3_exponential_map
from pytorch3d.transforms.so3 import so3_exp_map
# Naive function adapted from SoftRasterizer for test purposes.
@@ -145,7 +145,7 @@ def init_random_cameras(
T = torch.randn(batch_size, 3) * 0.03
if not random_z:
T[:, 2] = 4
R = so3_exponential_map(torch.randn(batch_size, 3) * 3.0)
R = so3_exp_map(torch.randn(batch_size, 3) * 3.0)
cam_params = {"R": R, "T": T}
if cam_type in (OpenGLPerspectiveCameras, OpenGLOrthographicCameras):
cam_params["znear"] = torch.rand(batch_size) * 10 + 0.1
@@ -509,7 +509,7 @@ class TestCamerasCommon(TestCaseMixin, unittest.TestCase):
def init_equiv_cameras_ndc_screen(cam_type: CamerasBase, batch_size: int):
T = torch.randn(batch_size, 3) * 0.03
T[:, 2] = 4
R = so3_exponential_map(torch.randn(batch_size, 3) * 3.0)
R = so3_exp_map(torch.randn(batch_size, 3) * 3.0)
screen_cam_params = {"R": R, "T": T}
ndc_cam_params = {"R": R, "T": T}
if cam_type in (OrthographicCameras, PerspectiveCameras):