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@@ -16,7 +16,7 @@ def components_from_spherical_harmonics(levels: int, directions: TensorType[...,
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num_components = levels**2
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components = torch.zeros((*directions.shape[:-1], num_components)).to(directions.device)
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assert levels > 0 and levels <= 5, f"SH levels must be in [1,4], got {levels}"
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assert 1 <= levels <= 5, f"SH levels must be in [1,4], got {levels}"
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assert directions.shape[-1] == 3, f"Direction input should have three dimensions. Got {directions.shape[-1]}"
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x = directions[..., 0]
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@@ -1,7 +1,6 @@
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"""
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Encoding Tests
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"""
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from multiprocessing.sharedctypes import Value
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import pytest
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import torch
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from mattport.nerf.field_modules import encoding
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