423A35C7/pytorch3d
1
0
Fork 0
mirror of https://github.com/facebookresearch/pytorch3d.git synced 2025-12-21 14:50:36 +08:00
Code Issues Packages Projects Releases Wiki Activity

Convert directory fbcode/vision to use the Ruff Formatter

Browse Source 
Summary:
Converts the directory specified to use the Ruff formatter in pyfmt

ruff_dog

If this diff causes merge conflicts when rebasing, please run
`hg status -n -0 --change . -I '**/*.{py,pyi}' | xargs -0 arc pyfmt`
on your diff, and amend any changes before rebasing onto latest.
That should help reduce or eliminate any merge conflicts.

allow-large-files

Reviewed By: bottler

Differential Revision: D66472063

fbshipit-source-id: 35841cb397e4f8e066e2159550d2f56b403b1bef
This commit is contained in:
Thomas Polasek
2024-11-26 02:38:20 -08:00
committed by Facebook GitHub Bot
parent f6c2ca6bfc
commit 055ab3a2e3
92 changed files with 121 additions and 191 deletions
Download Patch File Download Diff File Expand all files Collapse all files

20
tests/test_render_points.py
View File

@@ -8,6 +8,7 @@
"""
Sanity checks for output images from the pointcloud renderer.
"""
import unittest
import warnings
from os import path
@@ -220,7 +221,8 @@ class TestRenderPoints(TestCaseMixin, unittest.TestCase):
# znear and zfar is required in this case.
self.assertRaises(
ValueError,
lambda renderer=renderer, pointclouds=pointclouds: renderer.forward(
lambda renderer=renderer,
pointclouds=pointclouds: renderer.forward(
point_clouds=pointclouds, gamma=(1e-4,)
),
)
@@ -233,7 +235,8 @@ class TestRenderPoints(TestCaseMixin, unittest.TestCase):
# znear and zfar must be batched.
self.assertRaises(
TypeError,
lambda renderer=renderer, pointclouds=pointclouds: renderer.forward(
lambda renderer=renderer,
pointclouds=pointclouds: renderer.forward(
point_clouds=pointclouds,
gamma=(1e-4,),
znear=1.0,
@@ -242,7 +245,8 @@ class TestRenderPoints(TestCaseMixin, unittest.TestCase):
)
self.assertRaises(
TypeError,
lambda renderer=renderer, pointclouds=pointclouds: renderer.forward(
lambda renderer=renderer,
pointclouds=pointclouds: renderer.forward(
point_clouds=pointclouds,
gamma=(1e-4,),
znear=(1.0,),
@@ -253,7 +257,8 @@ class TestRenderPoints(TestCaseMixin, unittest.TestCase):
# gamma must be batched.
self.assertRaises(
TypeError,
lambda renderer=renderer, pointclouds=pointclouds: renderer.forward(
lambda renderer=renderer,
pointclouds=pointclouds: renderer.forward(
point_clouds=pointclouds, gamma=1e-4
),
)
@@ -262,7 +267,8 @@ class TestRenderPoints(TestCaseMixin, unittest.TestCase):
renderer.rasterizer.raster_settings.image_size = 0
self.assertRaises(
ValueError,
lambda renderer=renderer, pointclouds=pointclouds: renderer.forward(
lambda renderer=renderer,
pointclouds=pointclouds: renderer.forward(
point_clouds=pointclouds, gamma=(1e-4,)
),
)
@@ -372,7 +378,6 @@ class TestRenderPoints(TestCaseMixin, unittest.TestCase):
self.assertClose(rgb, image_ref)
def test_compositor_background_color_rgba(self):
N, H, W, K, C, P = 1, 15, 15, 20, 4, 225
ptclds = torch.randn((C, P))
alphas = torch.rand((N, K, H, W))
@@ -385,7 +390,6 @@ class TestRenderPoints(TestCaseMixin, unittest.TestCase):
]
for compositor_class, composite_func in compositor_funcs:
compositor = compositor_class(background_color)
# run the forward method to generate masked images
@@ -423,7 +427,6 @@ class TestRenderPoints(TestCaseMixin, unittest.TestCase):
)
def test_compositor_background_color_rgb(self):
N, H, W, K, C, P = 1, 15, 15, 20, 3, 225
ptclds = torch.randn((C, P))
alphas = torch.rand((N, K, H, W))
@@ -436,7 +439,6 @@ class TestRenderPoints(TestCaseMixin, unittest.TestCase):
]
for compositor_class, composite_func in compositor_funcs:
compositor = compositor_class(background_color)
# run the forward method to generate masked images