40 lines
1.6 KiB
Python
40 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_sin import PtSin
|
|
|
|
|
|
class TestPtSin(unittest.TestCase):
|
|
def setUp(self):
|
|
"""Set up test instance."""
|
|
self.node = PtSin()
|
|
|
|
# Test cases: (Tensor A, Expected result)
|
|
self.test_cases = [
|
|
(torch.tensor([0.0, torch.pi / 2, torch.pi], dtype=torch.float32), torch.sin(torch.tensor([0.0, torch.pi / 2, torch.pi], dtype=torch.float32))), # Edge cases
|
|
(torch.tensor([0.5, -0.5], dtype=torch.float32), torch.sin(torch.tensor([0.5, -0.5], dtype=torch.float32))), # Common values
|
|
(torch.tensor([[0.1, -0.3], [0.7, -0.9]], dtype=torch.float32), torch.sin(torch.tensor([[0.1, -0.3], [0.7, -0.9]], dtype=torch.float32))), # 2D case
|
|
(torch.full((2, 2), 0.6, dtype=torch.float32), torch.sin(torch.full((2, 2), 0.6, dtype=torch.float32))), # Constant matrix
|
|
]
|
|
|
|
def test_sin(self):
|
|
"""Test tensor element-wise sine using torch.sin()."""
|
|
for tens_a, expected in self.test_cases:
|
|
with self.subTest(tens_a=tens_a):
|
|
result, = self.node.f(tens_a)
|
|
|
|
# Ensure return value is a tensor
|
|
self.assertTrue(isinstance(result, torch.Tensor), "Output is not a tensor")
|
|
|
|
# Ensure result matches expected sin values
|
|
self.assertTrue(torch.allclose(result, expected, atol=1e-6), f"Expected {expected}, got {result}")
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|