41 lines
1.4 KiB
Python
41 lines
1.4 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_masked_select import PtMaskedSelect
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class TestPtMaskedSelect(unittest.TestCase):
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def setUp(self):
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"""Set up test instance."""
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self.node = PtMaskedSelect()
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# Test cases: (Tensor, Masked Tensor, Expected result)
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self.test_cases = [
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(
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torch.tensor([[1, 2, 3], [40, 50, 60], [700, 800, 900]]),
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torch.tensor([[True, False, False], [False, True, False], [False, False, True]]),
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torch.tensor([1, 50, 900])
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),
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]
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def test_masked_select(self):
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"""Test torch.masked_select behavior."""
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for tens, masked_tens, expected in self.test_cases:
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with self.subTest(tens=tens, masked_tens=masked_tens):
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result, = self.node.f(tens, masked_tens)
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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 selected values
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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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