42 lines
1.4 KiB
Python
42 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_to_float16 import PtToFloat16
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class TestPtToFloat16(unittest.TestCase):
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def setUp(self):
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"""Set up test instance."""
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self.node = PtToFloat16()
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# Test cases: (Tensor A, expected result, expected dtype)
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self.test_cases = [
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(torch.tensor([1.0, 2.0, 3.0], dtype=torch.float32), torch.tensor([1.0, 2.0, 3.0], dtype=torch.float16), torch.float16),
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]
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def test_1(self):
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"""Test tensor element-wise square root using torch.sqrt()."""
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for tens_a, expected_value, expected_dtype 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 data type
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self.assertEqual(result.dtype, expected_dtype,
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f"Expected dtype {expected_dtype}, got {result.dtype}")
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# Ensure result matches expected values
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self.assertTrue(torch.allclose(result, expected_value, atol=1e-6), f"Expected {expected_value}, got {result}")
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if __name__ == "__main__":
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unittest.main()
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