#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All rights reserved. import unittest import torch from pytorch3d.renderer.utils import TensorProperties from common_testing import TestCaseMixin # Example class for testing class TensorPropertiesTestClass(TensorProperties): def __init__(self, x=None, y=None, device="cpu"): super().__init__(device=device, x=x, y=y) def clone(self): other = TensorPropertiesTestClass() return super().clone(other) class TestTensorProperties(TestCaseMixin, unittest.TestCase): def test_init(self): example = TensorPropertiesTestClass(x=10.0, y=(100.0, 200.0)) # Check kwargs set as attributes + converted to tensors self.assertTrue(torch.is_tensor(example.x)) self.assertTrue(torch.is_tensor(example.y)) # Check broadcasting self.assertTrue(example.x.shape == (2,)) self.assertTrue(example.y.shape == (2,)) self.assertTrue(len(example) == 2) def test_to(self): # Check to method example = TensorPropertiesTestClass(x=10.0, y=(100.0, 200.0)) device = torch.device("cuda:0") new_example = example.to(device=device) self.assertTrue(new_example.device == device) def test_clone(self): # Check clone method example = TensorPropertiesTestClass(x=10.0, y=(100.0, 200.0)) new_example = example.clone() self.assertSeparate(example.x, new_example.x) self.assertSeparate(example.y, new_example.y) def test_get_set(self): # Test getitem returns an accessor which can be used to modify # attributes at a particular index example = TensorPropertiesTestClass(x=10.0, y=(100.0, 200.0, 300.0)) # update y1 example[1].y = 5.0 self.assertTrue(example.y[1] == 5.0) # Get item and get value ex0 = example[0] self.assertTrue(ex0.y == 100.0) def test_empty_input(self): example = TensorPropertiesTestClass(x=(), y=()) self.assertTrue(len(example) == 0) self.assertTrue(example.isempty())