35 lines
1.3 KiB
Python
35 lines
1.3 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.ptd_exponential import PtdExponential
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class TestPtdExponential(unittest.TestCase):
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def setUp(self):
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"""Set up test instance."""
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self.node = PtdExponential()
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def test_exponential_distribution_scalar(self):
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"""Test instantiation of exponential distribution."""
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dist = self.node.f("3")[0]
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self.assertTrue(isinstance(dist, torch.distributions.exponential.Exponential), "Probability distribution is not Exponential")
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def test_exponential_distribution_1d(self):
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"""Test instantiation of exponential distribution."""
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dist = self.node.f("(3,)")[0]
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self.assertTrue(isinstance(dist, torch.distributions.exponential.Exponential), "Probability distribution is not Exponential")
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def test_exponential_distribution_2d(self):
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"""Test instantiation of exponential distribution."""
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dist = self.node.f("(2,3)")[0]
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self.assertTrue(isinstance(dist, torch.distributions.exponential.Exponential), "Probability distribution is not Exponential")
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if __name__ == "__main__":
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unittest.main()
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