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Cuda updates

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Summary:
Updates to:
- enable cuda kernel launches on any GPU (not just the default)
- cuda and contiguous checks for all kernels
- checks to ensure all tensors are on the same device
- error reporting in the cuda kernels
- cuda tests now run on a random device not just the default

Reviewed By: jcjohnson, gkioxari

Differential Revision: D21215280

fbshipit-source-id: 1bedc9fe6c35e9e920bdc4d78ed12865b1005519
This commit is contained in:
Nikhila Ravi
2020-04-24 09:07:54 -07:00
committed by Facebook GitHub Bot
parent c9267ab7af
commit c3d636dc8c
33 changed files with 979 additions and 240 deletions
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13
tests/test_rasterize_points.py
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@@ -5,7 +5,7 @@ import unittest
import numpy as np
import torch
from common_testing import TestCaseMixin
from common_testing import TestCaseMixin, get_random_cuda_device
from pytorch3d import _C
from pytorch3d.renderer.points.rasterize_points import (
rasterize_points,
@@ -25,7 +25,7 @@ class TestRasterizePoints(TestCaseMixin, unittest.TestCase):
self._simple_test_case(rasterize_points, device)
def test_naive_simple_cuda(self):
device = torch.device("cuda")
device = get_random_cuda_device()
self._simple_test_case(rasterize_points, device, bin_size=0)
def test_python_behind_camera(self):
@@ -37,7 +37,8 @@ class TestRasterizePoints(TestCaseMixin, unittest.TestCase):
self._test_behind_camera(rasterize_points, torch.device("cpu"))
def test_cuda_behind_camera(self):
self._test_behind_camera(rasterize_points, torch.device("cuda"), bin_size=0)
device = get_random_cuda_device()
self._test_behind_camera(rasterize_points, device, bin_size=0)
def test_cpp_vs_naive_vs_binned(self):
# Make sure that the backward pass runs for all pathways
@@ -373,7 +374,8 @@ class TestRasterizePoints(TestCaseMixin, unittest.TestCase):
return self._test_coarse_rasterize(torch.device("cpu"))
def test_coarse_cuda(self):
return self._test_coarse_rasterize(torch.device("cuda"))
device = get_random_cuda_device()
return self._test_coarse_rasterize(device)
def test_compare_coarse_cpu_vs_cuda(self):
torch.manual_seed(231)
@@ -405,7 +407,8 @@ class TestRasterizePoints(TestCaseMixin, unittest.TestCase):
)
bp_cpu = _C._rasterize_points_coarse(*args)
pointclouds_cuda = pointclouds.to("cuda:0")
device = get_random_cuda_device()
pointclouds_cuda = pointclouds.to(device)
points_packed = pointclouds_cuda.points_packed()
cloud_to_packed_first_idx = pointclouds_cuda.cloud_to_packed_first_idx()
num_points_per_cloud = pointclouds_cuda.num_points_per_cloud()