mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-12-21 06:40:35 +08:00
Remove pytorch3d's wrappers for eigh, solve, lstsq, qr
Summary: Remove the compat functions eigh, solve, lstsq, and qr. Migrate callers to use torch.linalg directly. Reviewed By: bottler Differential Revision: D39172949 fbshipit-source-id: 484230a553237808f06ee5cdfde64651cba91c4c
This commit is contained in:
committed by
Facebook GitHub Bot
parent
9a1213e0e5
commit
d4a1051e0f
@@ -9,7 +9,6 @@ import unittest
|
||||
|
||||
import numpy as np
|
||||
import torch
|
||||
from pytorch3d.common.compat import lstsq
|
||||
from pytorch3d.transforms import acos_linear_extrapolation
|
||||
|
||||
from .common_testing import TestCaseMixin
|
||||
@@ -66,7 +65,7 @@ class TestAcosLinearExtrapolation(TestCaseMixin, unittest.TestCase):
|
||||
bound_t = torch.tensor(bound, device=x.device, dtype=x.dtype)
|
||||
# fit a line: slope * x + bias = y
|
||||
x_1 = torch.stack([x, torch.ones_like(x)], dim=-1)
|
||||
slope, bias = lstsq(x_1, y[:, None]).view(-1)[:2]
|
||||
slope, bias = torch.linalg.lstsq(x_1, y[:, None]).solution.view(-1)[:2]
|
||||
desired_slope = (-1.0) / torch.sqrt(1.0 - bound_t**2)
|
||||
# test that the desired slope is the same as the fitted one
|
||||
self.assertClose(desired_slope.view(1), slope.view(1), atol=1e-2)
|
||||
|
||||
Reference in New Issue
Block a user