423A35C7/pytorch3d
1
0
Fork 0
mirror of https://github.com/facebookresearch/pytorch3d.git synced 2025-12-20 22:30:35 +08:00
Code Issues Packages Projects Releases Wiki Activity

Cuda updates

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files

20
tests/test_packed_to_padded.py
View File

@@ -3,7 +3,7 @@
import unittest
import torch
from common_testing import TestCaseMixin
from common_testing import TestCaseMixin, get_random_cuda_device
from pytorch3d.ops import packed_to_padded, padded_to_packed
from pytorch3d.structures.meshes import Meshes
@@ -126,13 +126,16 @@ class TestPackedToPadded(TestCaseMixin, unittest.TestCase):
self._test_packed_to_padded_helper(16, "cpu")
def test_packed_to_padded_flat_cuda(self):
self._test_packed_to_padded_helper(0, "cuda:0")
device = get_random_cuda_device()
self._test_packed_to_padded_helper(0, device)
def test_packed_to_padded_D1_cuda(self):
self._test_packed_to_padded_helper(1, "cuda:0")
device = get_random_cuda_device()
self._test_packed_to_padded_helper(1, device)
def test_packed_to_padded_D16_cuda(self):
self._test_packed_to_padded_helper(16, "cuda:0")
device = get_random_cuda_device()
self._test_packed_to_padded_helper(16, device)
def _test_padded_to_packed_helper(self, D, device):
"""
@@ -191,13 +194,16 @@ class TestPackedToPadded(TestCaseMixin, unittest.TestCase):
self._test_padded_to_packed_helper(16, "cpu")
def test_padded_to_packed_flat_cuda(self):
self._test_padded_to_packed_helper(0, "cuda:0")
device = get_random_cuda_device()
self._test_padded_to_packed_helper(0, device)
def test_padded_to_packed_D1_cuda(self):
self._test_padded_to_packed_helper(1, "cuda:0")
device = get_random_cuda_device()
self._test_padded_to_packed_helper(1, device)
def test_padded_to_packed_D16_cuda(self):
self._test_padded_to_packed_helper(16, "cuda:0")
device = get_random_cuda_device()
self._test_padded_to_packed_helper(16, device)
def test_invalid_inputs_shapes(self, device="cuda:0"):
with self.assertRaisesRegex(ValueError, "input can only be 2-dimensional."):