49 lines
1.5 KiB
Python
49 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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import ast
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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_gather import PtGather
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class TestPtGather(unittest.TestCase):
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def setUp(self):
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"""Set up test instance."""
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self.node = PtGather()
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# Test cases: (Tensor, Dim, Index (as string), Expected result)
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self.test_cases = [
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(
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torch.tensor([[10, 20, 30, 40, 50], [100, 200, 300, 400, 500]]),
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1,
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"[[0, 4, 3, 2, 0], [4, 3, 0, 0, 0]]",
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torch.tensor([[10, 50, 40, 30, 10], [500, 400, 100, 100, 100]])
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),
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(
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torch.tensor([[1, 2], [3, 4]]),
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0,
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"[[1, 0], [0, 1]]",
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torch.tensor([[3, 2], [1, 4]])
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),
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]
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def test_gather(self):
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"""Test torch.gather behavior."""
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for tens, dim, index, expected in self.test_cases:
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with self.subTest(tens=tens, dim=dim, index=index):
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result, = self.node.f(tens, dim, index)
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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 gathered 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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