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Address black + isort fbsource linter warnings

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Summary: Address black + isort fbsource linter warnings from D20558374 (previous diff)

Reviewed By: nikhilaravi

Differential Revision: D20558373

fbshipit-source-id: d3607de4a01fb24c0d5269634563a7914bddf1c8
This commit is contained in:
Patrick Labatut
2020-03-29 14:46:33 -07:00
committed by Facebook GitHub Bot
parent eb512ffde3
commit d57daa6f85
110 changed files with 705 additions and 1850 deletions
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16
tests/test_so3.py
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@@ -1,10 +1,10 @@
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
import numpy as np
import unittest
import torch
import numpy as np
import torch
from pytorch3d.transforms.so3 import (
hat,
so3_exponential_map,
@@ -26,9 +26,7 @@ class TestSO3(unittest.TestCase):
randomly generated logarithms of rotation matrices.
"""
device = torch.device("cuda:0")
log_rot = torch.randn(
(batch_size, 3), dtype=torch.float32, device=device
)
log_rot = torch.randn((batch_size, 3), dtype=torch.float32, device=device)
return log_rot
@staticmethod
@@ -85,16 +83,12 @@ class TestSO3(unittest.TestCase):
log_rot = torch.randn(size=[5, 4], device=device)
with self.assertRaises(ValueError) as err:
so3_exponential_map(log_rot)
self.assertTrue(
"Input tensor shape has to be Nx3." in str(err.exception)
)
self.assertTrue("Input tensor shape has to be Nx3." in str(err.exception))
rot = torch.randn(size=[5, 3, 5], device=device)
with self.assertRaises(ValueError) as err:
so3_log_map(rot)
self.assertTrue(
"Input has to be a batch of 3x3 Tensors." in str(err.exception)
)
self.assertTrue("Input has to be a batch of 3x3 Tensors." in str(err.exception))
# trace of rot definitely bigger than 3 or smaller than -1
rot = torch.cat(