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import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.utils.base import BaseModule
from threestudio.utils.typing import *
class BaseMaterial(BaseModule):
@dataclass
class Config(BaseModule.Config):
pass
cfg: Config
requires_normal: bool = False
requires_tangent: bool = False
def configure(self):
pass
def forward(self, *args, **kwargs) -> Float[Tensor, "*B 3"]:
raise NotImplementedError
def export(self, *args, **kwargs) -> Dict[str, Any]:
return {}