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make points2volumes feature rescaling optional
Summary: Add option to not rescale the features, giving more control. https://github.com/facebookresearch/pytorch3d/issues/1137 Reviewed By: nikhilaravi Differential Revision: D35219577 fbshipit-source-id: cbbb643b91b71bc908cedc6dac0f63f6d1355c85
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@@ -192,12 +192,22 @@ class TestCaseMixin(unittest.TestCase):
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self.fail(f"{msg} {err}")
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self.fail(err)
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def assertConstant(self, input: TensorOrArray, value: Real) -> None:
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def assertConstant(
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self, input: TensorOrArray, value: Real, *, atol: float = 0
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) -> None:
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"""
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Asserts input is entirely filled with value.
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Args:
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input: tensor or array
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value: expected value
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atol: tolerance
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"""
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self.assertEqual(input.min(), value)
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self.assertEqual(input.max(), value)
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mn, mx = input.min(), input.max()
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msg = f"values in range [{mn}, {mx}], not {value}, shape {input.shape}"
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if atol == 0:
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self.assertEqual(input.min(), value, msg=msg)
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self.assertEqual(input.max(), value, msg=msg)
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else:
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self.assertGreater(input.min(), value - atol, msg=msg)
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self.assertLess(input.max(), value + atol, msg=msg)
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