"""ProtoTorch kernels test suite.""" import unittest import numpy as np import torch from prototorch.functions.distances import KernelDistance from prototorch.functions.kernels import ExplicitKernel class TestExplicitKernel(unittest.TestCase): def setUp(self): self.single_x = torch.randn(1024) self.single_y = torch.randn(1024) self.batch_x = torch.randn(32, 1024) self.batch_y = torch.randn(32, 1024) self.kernel = ExplicitKernel() def test_single_values(self): kernel = ExplicitKernel() self.assertEqual( kernel(self.single_x, self.single_y).shape, torch.Size([])) def test_single_batch(self): kernel = ExplicitKernel() self.assertEqual( kernel(self.single_x, self.batch_y).shape, torch.Size([32])) def test_batch_single(self): kernel = ExplicitKernel() self.assertEqual( kernel(self.batch_x, self.single_y).shape, torch.Size([32])) def test_batch_values(self): kernel = ExplicitKernel() self.assertEqual( kernel(self.batch_x, self.batch_y).shape, torch.Size([32, 32])) class TestKernelDistance(unittest.TestCase): def setUp(self): self.single_x = torch.randn(1024) self.single_y = torch.randn(1024) self.batch_x = torch.randn(32, 1024) self.batch_y = torch.randn(32, 1024) self.kernel = ExplicitKernel() def test_single_values(self): distance = KernelDistance(self.kernel) self.assertEqual( distance(self.single_x, self.single_y).shape, torch.Size([])) def test_single_batch(self): distance = KernelDistance(self.kernel) self.assertEqual( distance(self.single_x, self.batch_y).shape, torch.Size([32])) def test_batch_single(self): distance = KernelDistance(self.kernel) self.assertEqual( distance(self.batch_x, self.single_y).shape, torch.Size([32])) def test_batch_values(self): distance = KernelDistance(self.kernel) self.assertEqual( distance(self.batch_x, self.batch_y).shape, torch.Size([32, 32]))