新增管理员页面和用户申诉、迁移审核页面，推荐系统
Change-Id: Ief5646321feb98fadb17da4b4e91caeaacdbacc5
diff --git a/recommend/model/operators.py b/recommend/model/operators.py
new file mode 100644
index 0000000..a508966
--- /dev/null
+++ b/recommend/model/operators.py
@@ -0,0 +1,52 @@
+import torch
+from typing import Optional, Tuple
+from torch import nn
+
+def broadcast(src: torch.Tensor, other: torch.Tensor, dim: int):
+ if dim < 0:
+ dim = other.dim() + dim
+ if src.dim() == 1:
+ for _ in range(0, dim):
+ src = src.unsqueeze(0)
+ for _ in range(src.dim(), other.dim()):
+ src = src.unsqueeze(-1)
+ src = src.expand(other.size())
+ return src
+
+def scatter_sum(src: torch.Tensor, index: torch.Tensor, dim: int = -1,
+ out: Optional[torch.Tensor] = None,
+ dim_size: Optional[int] = None) -> torch.Tensor:
+ index = broadcast(index, src, dim)
+ if out is None:
+ size = list(src.size())
+ if dim_size is not None:
+ size[dim] = dim_size
+ elif index.numel() == 0:
+ size[dim] = 0
+ else:
+ size[dim] = int(index.max()) + 1
+ out = torch.zeros(size, dtype=src.dtype, device=src.device)
+ return out.scatter_add_(dim, index, src)
+ else:
+ return out.scatter_add_(dim, index, src)
+
+def scatter_add(src: torch.Tensor, index: torch.Tensor, dim: int = -1,
+ out: Optional[torch.Tensor] = None,
+ dim_size: Optional[int] = None) -> torch.Tensor:
+ return scatter_sum(src, index, dim, out, dim_size)
+
+
+class EdgelistDrop(nn.Module):
+ def __init__(self):
+ super(EdgelistDrop, self).__init__()
+
+ def forward(self, edgeList, keep_rate, return_mask=False):
+ if keep_rate == 1.0:
+ return edgeList, torch.ones(edgeList.size(0)).type(torch.bool)
+ edgeNum = edgeList.size(0)
+ mask = (torch.rand(edgeNum) + keep_rate).floor().type(torch.bool)
+ newEdgeList = edgeList[mask, :]
+ if return_mask:
+ return newEdgeList, mask
+ else:
+ return newEdgeList