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import torch | |
import torch.nn as nn | |
import torch.nn.functional as F | |
import numpy as np | |
from ..octree import DfsOctree as Octree | |
class Strivec(Octree): | |
def __init__( | |
self, | |
resolution: int, | |
aabb: list, | |
sh_degree: int = 0, | |
rank: int = 8, | |
dim: int = 8, | |
device: str = "cuda", | |
): | |
assert np.log2(resolution) % 1 == 0, "Resolution must be a power of 2" | |
self.resolution = resolution | |
depth = int(np.round(np.log2(resolution))) | |
super().__init__( | |
depth=depth, | |
aabb=aabb, | |
sh_degree=sh_degree, | |
primitive="trivec", | |
primitive_config={"rank": rank, "dim": dim}, | |
device=device, | |
) | |