delete all abstract class

core/loss.py

@@ -3,7 +3,7 @@ import PytorchBoot.stereotype as stereotype
 
 @stereotype.loss_function("gf_loss")
 class GFLoss:
-    def __init__(self, config):
+    def __init__(self, _):
         pass
 
     def compute(self, output, _):

modules/gf_view_finder.py

@@ -3,7 +3,6 @@ import torch.nn as nn
 import PytorchBoot.stereotype as stereotype
 
 from utils.pose import PoseUtil
-from modules.view_finder.abstract_view_finder import ViewFinder
 import modules.module_lib as mlib
 import modules.func_lib as flib
 
@@ -18,7 +17,7 @@ def zero_module(module):
 
 
 @stereotype.module("gf_view_finder")
-class GradientFieldViewFinder(ViewFinder):
+class GradientFieldViewFinder(nn.Module):
     def __init__(self, config):
 
         super(GradientFieldViewFinder, self).__init__()

modules/pointnet_encoder.py

@@ -7,10 +7,9 @@ from torch.autograd import Variable
 import numpy as np
 import torch.nn.functional as F
 
-from modules.pts_encoder.abstract_pts_encoder import PointsEncoder
 import PytorchBoot.stereotype as stereotype
 @stereotype.module("pointnet_encoder")
-class PointNetEncoder(PointsEncoder):
+class PointNetEncoder(nn.Module):
 
     def __init__(self, config:dict):
         super(PointNetEncoder, self).__init__()

modules/pts_encoder/abstract_pts_encoder.py

@@ -1,12 +0,0 @@
-from abc import abstractmethod
-
-from torch import nn
-
-
-class PointsEncoder(nn.Module):
-    def __init__(self):
-        super(PointsEncoder, self).__init__()
-
-    @abstractmethod
-    def encode_points(self, pts):
-        pass

modules/seq_encoder/abstract_seq_encoder.py

@@ -1,12 +0,0 @@
-from abc import abstractmethod
-
-from torch import nn
-
-
-class SequenceEncoder(nn.Module):
-    def __init__(self):
-        super(SequenceEncoder, self).__init__()
-
-    @abstractmethod
-    def encode_sequence(self, pts_embedding_list, pose_embedding_list):
-        pass

modules/transformer_seq_encoder.py

@@ -2,11 +2,9 @@ import torch
 from torch import nn
 
 import PytorchBoot.stereotype as stereotype
-import sys; sys.path.append(r"C:\Document\Local Project\nbv_rec\nbv_reconstruction")
-from modules.seq_encoder.abstract_seq_encoder import SequenceEncoder
 
 @stereotype.module("transformer_seq_encoder")
-class TransformerSequenceEncoder(SequenceEncoder):
+class TransformerSequenceEncoder(nn.Module):
     def __init__(self, config):
         super(TransformerSequenceEncoder, self).__init__()
         self.config = config

modules/view_finder/abstract_view_finder.py

@@ -1,12 +0,0 @@
-from abc import abstractmethod
-
-from torch import nn
-
-
-class ViewFinder(nn.Module):
-    def __init__(self):
-        super(ViewFinder, self).__init__()
-
-    @abstractmethod
-    def next_best_view(self, seq_feat):
-        pass