40 lines
1.6 KiB
Python
40 lines
1.6 KiB
Python
import os
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import sys
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import unittest
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import torch
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PROJECT_ROOT = os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))
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MODULE_ROOT = os.path.join(PROJECT_ROOT, "modules")
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sys.path.append(MODULE_ROOT)
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from pytorch_wrapper.pt_log import PtLog
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class TestPtLog(unittest.TestCase):
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def setUp(self):
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"""Set up test instance."""
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self.node = PtLog()
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# Test cases: (Tensor A, Expected result)
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self.test_cases = [
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(torch.tensor([1.0, torch.e, 10.0], dtype=torch.float32), torch.log(torch.tensor([1.0, torch.e, 10.0], dtype=torch.float32))), # Edge cases
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(torch.tensor([0.5, 2.0, 3.0], dtype=torch.float32), torch.log(torch.tensor([0.5, 2.0, 3.0], dtype=torch.float32))), # Common values
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(torch.tensor([[1.5, 3.2], [4.7, 5.9]], dtype=torch.float32), torch.log(torch.tensor([[1.5, 3.2], [4.7, 5.9]], dtype=torch.float32))), # 2D case
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(torch.full((2, 2), 2.5, dtype=torch.float32), torch.log(torch.full((2, 2), 2.5, dtype=torch.float32))), # Constant matrix
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]
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def test_log(self):
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"""Test tensor element-wise natural logarithm using torch.log()."""
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for tens_a, expected in self.test_cases:
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with self.subTest(tens_a=tens_a):
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result, = self.node.f(tens_a)
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# Ensure return value is a tensor
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self.assertTrue(isinstance(result, torch.Tensor), "Output is not a tensor")
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# Ensure result matches expected log values
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self.assertTrue(torch.allclose(result, expected, atol=1e-6), f"Expected {expected}, got {result}")
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if __name__ == "__main__":
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unittest.main()
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