41 lines
1.8 KiB
Python
41 lines
1.8 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_abs import PtAbs
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class TestPtAbs(unittest.TestCase):
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def setUp(self):
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"""Set up test instance."""
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self.node = PtAbs()
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# Test cases: (Tensor A, Expected result)
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self.test_cases = [
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(torch.tensor([-1, 2, -3, 4], dtype=torch.float32), torch.tensor([1, 2, 3, 4], dtype=torch.float32)), # Mixed positive/negative
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(torch.tensor([0, -5, 10, -15], dtype=torch.int32), torch.tensor([0, 5, 10, 15], dtype=torch.int32)), # Integer case
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(torch.tensor([[-1.5, 2.3], [-3.7, 4.9]], dtype=torch.float32), torch.tensor([[1.5, 2.3], [3.7, 4.9]], dtype=torch.float32)), # 2D case
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(torch.tensor([[-100, 0, 50], [-25, -75, 100]], dtype=torch.int64), torch.tensor([[100, 0, 50], [25, 75, 100]], dtype=torch.int64)), # Large numbers
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(torch.full((2, 2), -7.7, dtype=torch.float32), torch.full((2, 2), 7.7, dtype=torch.float32)), # Constant matrix
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]
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def test_absolute_value(self):
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"""Test tensor element-wise absolute value using torch.abs()."""
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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 absolute value operation
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self.assertTrue(torch.equal(result, expected), f"Expected {expected}, got {result}")
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if __name__ == "__main__":
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unittest.main()
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