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

use assertClose

Browse Source 
Summary: use assertClose in some tests, which enforces shape equality. Fixes some small problems, including graph_conv on an empty graph.

Reviewed By: nikhilaravi

Differential Revision: D20556912

fbshipit-source-id: 60a61eafe3c03ce0f6c9c1a842685708fb10ac5b
This commit is contained in:
Jeremy Reizenstein
2020-03-23 11:33:10 -07:00
committed by Facebook GitHub Bot
parent 744ef0c2c8
commit 595aca27ea
13 changed files with 216 additions and 241 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
tests/test_mesh_edge_loss.py
View File

@@ -6,10 +6,11 @@ import torch
from pytorch3d.loss import mesh_edge_loss
from pytorch3d.structures import Meshes
from common_testing import TestCaseMixin
from test_sample_points_from_meshes import TestSamplePoints
class TestMeshEdgeLoss(unittest.TestCase):
class TestMeshEdgeLoss(TestCaseMixin, unittest.TestCase):
def test_empty_meshes(self):
device = torch.device("cuda:0")
target_length = 0
@@ -26,10 +27,8 @@ class TestMeshEdgeLoss(unittest.TestCase):
mesh = Meshes(verts=verts_list, faces=faces_list)
loss = mesh_edge_loss(mesh, target_length=target_length)
self.assertTrue(
torch.allclose(
loss, torch.tensor([0.0], dtype=torch.float32, device=device)
)
self.assertClose(
loss, torch.tensor([0.0], dtype=torch.float32, device=device)
)
self.assertTrue(loss.requires_grad)
@@ -94,7 +93,7 @@ class TestMeshEdgeLoss(unittest.TestCase):
loss = mesh_edge_loss(meshes, target_length=target_length)
predloss = TestMeshEdgeLoss.mesh_edge_loss_naive(meshes, target_length)
self.assertTrue(torch.allclose(loss, predloss))
self.assertClose(loss, predloss)
@staticmethod
def mesh_edge_loss(