62 lines
2.2 KiB
Python
62 lines
2.2 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_view import PtView # Importing the PtView class
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class TestPtView(unittest.TestCase):
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def setUp(self):
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"""Set up test instance."""
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self.node = PtView()
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# Define test cases: (input_tensor, new_shape, expected_shape)
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self.test_cases = [
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# Case 1: Reshape a 2D tensor
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(torch.ones(2, 3), "[3, 2]", (3, 2)), # (2,3) -> (3,2)
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# Case 2: Reshape a 3D tensor
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(torch.ones(2, 3, 4), "[6, 4]", (6, 4)), # (2,3,4) -> (6,4)
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# Case 3: Using -1 for automatic inference
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(torch.ones(2, 3, 4), "[2, -1]", (2, 12)), # (2,3,4) -> (2,12)
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(torch.ones(6, 4), "[-1, 4]", (6, 4)), # (6,4) -> (6,4)
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# Case 4: Flattening a multi-dimensional tensor
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(torch.ones(2, 3, 4), "[-1]", (24,)), # (2,3,4) -> (24,)
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# Case 5: Expanding dimensions
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(torch.ones(6,), "[2, 3]", (2, 3)), # (6,) -> (2,3)
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# Case 6: Reshaping a 4D tensor
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(torch.ones(2, 3, 4, 5), "[6, -1, 5]", (6, 4, 5)), # (2,3,4,5) -> (6,4,5)
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# Case 7: Edge case with 1D tensor
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(torch.ones(10,), "[10, 1]", (10, 1)), # (10,) -> (10,1)
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]
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def test_view(self):
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"""Test tensor reshape operation with various shape orders."""
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for input_tensor, new_shape, expected_shape in self.test_cases:
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with self.subTest(input_shape=input_tensor.shape, new_shape=new_shape):
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result, = self.node.f(input_tensor, new_shape)
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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 has correct shape
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self.assertEqual(result.shape, torch.Size(expected_shape), f"Expected shape {expected_shape}, got {result.shape}")
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# Ensure result has the same dtype
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self.assertEqual(result.dtype, input_tensor.dtype, "Dtype mismatch after view operation")
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if __name__ == "__main__":
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unittest.main()
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