71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
|
"""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]))
|