Files
2025-03-20 21:40:01 -07:00

41 lines
1.6 KiB
Python

import os
import sys
import unittest
import torch
PROJECT_ROOT = os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))
MODULE_ROOT = os.path.join(PROJECT_ROOT, "modules")
sys.path.append(MODULE_ROOT)
from pytorch_wrapper.pt_lt import PtLt
class TestPtLt(unittest.TestCase):
def setUp(self):
"""Set up test instance."""
self.node = PtLt()
# Test cases: (Tensor A, Tensor B, Expected result)
self.test_cases = [
(torch.tensor([1, 2, 3]), torch.tensor([0, 2, 4]), torch.tensor([False, False, True])),
(torch.tensor([3, 5, 7]), torch.tensor([1, 5, 10]), torch.tensor([False, False, True])),
(torch.ones(3, 3), torch.ones(3, 3), torch.full((3, 3), False, dtype=torch.bool)),
(torch.zeros(2, 2), torch.ones(2, 2), torch.full((2, 2), True, dtype=torch.bool)),
(torch.tensor([[5], [10]]), torch.tensor([[5], [10]]), torch.tensor([[False], [False]])),
]
def test_less_than(self):
"""Test tensor element-wise less-than condition using torch.lt()."""
for tens_a, tens_b, expected in self.test_cases:
with self.subTest(tens_a=tens_a, tens_b=tens_b):
result, = self.node.f(tens_a, tens_b)
# Ensure return value is a tensor
self.assertTrue(isinstance(result, torch.Tensor), "Output is not a tensor")
# Ensure result matches expected less-than comparison
self.assertTrue(torch.equal(result, expected), f"Expected {expected}, got {result}")
if __name__ == "__main__":
unittest.main()