41 lines
1.7 KiB
Python
41 lines
1.7 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_bitwise_not import PtBitwiseNot
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class TestPtBitwiseNot(unittest.TestCase):
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def setUp(self):
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"""Set up test instance."""
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self.node = PtBitwiseNot()
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# Test cases: (Tensor A, Expected result)
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self.test_cases = [
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(torch.tensor([0, 1, 2, 3], dtype=torch.int32), torch.tensor([-1, -2, -3, -4], dtype=torch.int32)), # Bitwise NOT
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(torch.tensor([0b0000, 0b0001, 0b0010], dtype=torch.int32), torch.tensor([-1, -2, -3], dtype=torch.int32)), # Binary representation
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(torch.tensor([[5, 10], [15, 20]], dtype=torch.int32), torch.tensor([[-6, -11], [-16, -21]], dtype=torch.int32)), # Matrix case
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(torch.full((2, 2), 0, dtype=torch.int32), torch.full((2, 2), -1, dtype=torch.int32)), # NOT 0 -> -1
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(torch.full((3, 3), -1, dtype=torch.int32), torch.full((3, 3), 0, dtype=torch.int32)), # NOT -1 -> 0
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]
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def test_bitwise_not(self):
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"""Test tensor element-wise bitwise NOT using torch.bitwise_not()."""
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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 bitwise NOT 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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