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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,
)
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