I can't find appearance matrix B in code about tensorf HOT 2 OPEN

I print the tensorf below. It shows that self.basis_mat is the matrix B. It has 144*27 weights. The author uses them to express the matrix B.
TensorVMSplit( (density_plane): ParameterList( (0): Parameter containing: [torch.cuda.FloatTensor of size 1x16x128x128 (GPU 0)] (1): Parameter containing: [torch.cuda.FloatTensor of size 1x16x128x128 (GPU 0)] (2): Parameter containing: [torch.cuda.FloatTensor of size 1x16x128x128 (GPU 0)] ) (density_line): ParameterList( (0): Parameter containing: [torch.cuda.FloatTensor of size 1x16x128x1 (GPU 0)] (1): Parameter containing: [torch.cuda.FloatTensor of size 1x16x128x1 (GPU 0)] (2): Parameter containing: [torch.cuda.FloatTensor of size 1x16x128x1 (GPU 0)] ) (app_plane): ParameterList( (0): Parameter containing: [torch.cuda.FloatTensor of size 1x48x128x128 (GPU 0)] (1): Parameter containing: [torch.cuda.FloatTensor of size 1x48x128x128 (GPU 0)] (2): Parameter containing: [torch.cuda.FloatTensor of size 1x48x128x128 (GPU 0)] ) (app_line): ParameterList( (0): Parameter containing: [torch.cuda.FloatTensor of size 1x48x128x1 (GPU 0)] (1): Parameter containing: [torch.cuda.FloatTensor of size 1x48x128x1 (GPU 0)] (2): Parameter containing: [torch.cuda.FloatTensor of size 1x48x128x1 (GPU 0)] ) (basis_mat): Linear(in_features=144, out_features=27, bias=False) (renderModule): MLPRender_Fea( (mlp): Sequential( (0): Linear(in_features=150, out_features=128, bias=True) (1): ReLU(inplace=True) (2): Linear(in_features=128, out_features=128, bias=True) (3): ReLU(inplace=True) (4): Linear(in_features=128, out_features=3, bias=True) ) ) )

from tensorf.

@LiuTielong Oh! Now I can understand this part! Thx for your kind comments!

from tensorf.