40 lines
1.5 KiB
Python
40 lines
1.5 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_floor_divide import PtFloorDiv
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class TestPtFloorDiv(unittest.TestCase):
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def setUp(self):
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"""Set up test instance."""
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self.node = PtFloorDiv()
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# Test cases: (Tensor A, Tensor B, Expected result)
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self.test_cases = [
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(torch.tensor([4.0, 10.0, 18.0]), torch.tensor([3.0, 4.0, 5.0]), torch.tensor([1.0, 2.0, 3.0])),
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(torch.ones(3, 3) * 7, torch.ones(3, 3) * 3, torch.ones(3, 3) * 2), # 7 // 3 = 2
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(torch.full((2, 2), 9.0), torch.full((2, 2), 2.0), torch.full((2, 2), 4.0)), # 9 // 2 = 4
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(torch.tensor([[7.0], [15.0]]), torch.tensor([[2.0], [4.0]]), torch.tensor([[3.0], [3.0]])), # Element-wise floor division
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]
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def test_floor_division(self):
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"""Test tensor floor division."""
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for tens_a, tens_b, expected in self.test_cases:
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with self.subTest(tens_a=tens_a, tens_b=tens_b):
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result, = self.node.f(tens_a, tens_b)
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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 floor quotient
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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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