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

Initial commit

Browse Source 
fbshipit-source-id: ad58e416e3ceeca85fae0583308968d04e78fe0d
This commit is contained in:
facebook-github-bot
2020-01-23 11:53:41 -08:00
commit dbf06b504b
211 changed files with 47362 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

97
tests/test_materials.py Normal file
View File

@@ -0,0 +1,97 @@
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
import unittest
import torch
from pytorch3d.renderer.materials import Materials
from common_testing import TestCaseMixin
class TestMaterials(TestCaseMixin, unittest.TestCase):
def test_init(self):
"""
Initialize Materials class with the default values.
"""
device = torch.device("cuda:0")
mat = Materials(device=device)
self.assertTrue(torch.is_tensor(mat.ambient_color))
self.assertTrue(torch.is_tensor(mat.diffuse_color))
self.assertTrue(torch.is_tensor(mat.specular_color))
self.assertTrue(torch.is_tensor(mat.shininess))
self.assertTrue(mat.ambient_color.device == device)
self.assertTrue(mat.diffuse_color.device == device)
self.assertTrue(mat.specular_color.device == device)
self.assertTrue(mat.shininess.device == device)
self.assertTrue(mat.ambient_color.shape == (1, 3))
self.assertTrue(mat.diffuse_color.shape == (1, 3))
self.assertTrue(mat.specular_color.shape == (1, 3))
self.assertTrue(mat.shininess.shape == (1,))
def test_materials_clone_to(self):
device = torch.device("cuda:0")
cpu = torch.device("cpu")
mat = Materials()
new_mat = mat.clone().to(device)
self.assertTrue(mat.ambient_color.device == cpu)
self.assertTrue(mat.diffuse_color.device == cpu)
self.assertTrue(mat.specular_color.device == cpu)
self.assertTrue(mat.shininess.device == cpu)
self.assertTrue(new_mat.ambient_color.device == device)
self.assertTrue(new_mat.diffuse_color.device == device)
self.assertTrue(new_mat.specular_color.device == device)
self.assertTrue(new_mat.shininess.device == device)
self.assertSeparate(new_mat.ambient_color, mat.ambient_color)
self.assertSeparate(new_mat.diffuse_color, mat.diffuse_color)
self.assertSeparate(new_mat.specular_color, mat.specular_color)
self.assertSeparate(new_mat.shininess, mat.shininess)
def test_initialize_materials_broadcast(self):
materials = Materials(
ambient_color=torch.randn(10, 3),
diffuse_color=torch.randn(1, 3),
specular_color=torch.randn(1, 3),
shininess=torch.randn(1),
)
self.assertTrue(materials.ambient_color.shape == (10, 3))
self.assertTrue(materials.diffuse_color.shape == (10, 3))
self.assertTrue(materials.specular_color.shape == (10, 3))
self.assertTrue(materials.shininess.shape == (10,))
def test_initialize_materials_broadcast_fail(self):
"""
Batch dims have to be the same or 1.
"""
with self.assertRaises(ValueError):
Materials(
ambient_color=torch.randn(10, 3),
diffuse_color=torch.randn(15, 3),
)
def test_initialize_materials_dimensions_fail(self):
"""
Color should have shape (N, 3) or (1, 3), Shininess should have shape
(1), (1, 1), (N) or (N, 1)
"""
with self.assertRaises(ValueError):
Materials(ambient_color=torch.randn(10, 4))
with self.assertRaises(ValueError):
Materials(shininess=torch.randn(10, 2))
def test_initialize_materials_mixed_inputs(self):
mat = Materials(
ambient_color=torch.randn(1, 3), diffuse_color=((1, 1, 1),)
)
self.assertTrue(mat.ambient_color.shape == (1, 3))
self.assertTrue(mat.diffuse_color.shape == (1, 3))
def test_initialize_materials_mixed_inputs_broadcast(self):
mat = Materials(
ambient_color=torch.randn(10, 3), diffuse_color=((1, 1, 1),)
)
self.assertTrue(mat.ambient_color.shape == (10, 3))
self.assertTrue(mat.diffuse_color.shape == (10, 3))
self.assertTrue(mat.specular_color.shape == (10, 3))
self.assertTrue(mat.shininess.shape == (10,))