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https://github.com/facebookresearch/pytorch3d.git
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Convert directory fbcode/vision to use the Ruff Formatter
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:
committed by
Facebook GitHub Bot
parent
f6c2ca6bfc
commit
055ab3a2e3
@@ -11,7 +11,6 @@ from tests.test_ball_query import TestBallQuery
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def bm_ball_query() -> None:
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backends = ["cpu", "cuda:0"]
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kwargs_list = []
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@@ -11,7 +11,6 @@ from tests.test_cameras_alignment import TestCamerasAlignment
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def bm_cameras_alignment() -> None:
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case_grid = {
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"batch_size": [10, 100, 1000],
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"mode": ["centers", "extrinsics"],
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@@ -11,7 +11,6 @@ from tests.test_knn import TestKNN
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def bm_knn() -> None:
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backends = ["cpu", "cuda:0"]
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kwargs_list = []
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@@ -12,7 +12,6 @@ from tests.test_point_mesh_distance import TestPointMeshDistance
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def bm_point_mesh_distance() -> None:
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backend = ["cuda:0"]
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kwargs_list = []
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@@ -12,7 +12,6 @@ from tests.test_points_alignment import TestCorrespondingPointsAlignment, TestIC
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def bm_iterative_closest_point() -> None:
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case_grid = {
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"batch_size": [1, 10],
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"dim": [3, 20],
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@@ -43,7 +42,6 @@ def bm_iterative_closest_point() -> None:
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def bm_corresponding_points_alignment() -> None:
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case_grid = {
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"allow_reflection": [True, False],
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"batch_size": [1, 10, 100],
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@@ -5,6 +5,7 @@
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# LICENSE file in the root directory of this source tree.
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"""Test render speed."""
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import logging
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import sys
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from os import path
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@@ -11,7 +11,6 @@ from tests.test_sample_pdf import TestSamplePDF
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def bm_sample_pdf() -> None:
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backends = ["python_cuda", "cuda", "python_cpu", "cpu"]
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kwargs_list = []
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@@ -13,7 +13,6 @@ from tests.test_sample_points_from_meshes import TestSamplePoints
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def bm_sample_points() -> None:
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backend = ["cpu"]
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if torch.cuda.is_available():
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backend.append("cuda:0")
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