mindspore_gl.graph.PadHomoGraph

class mindspore_gl.graph.PadHomoGraph(n_node=None, mode=PadMode.AUTO, n_edge=None)[源代码]

Pad MindHomoGraph，通过在这些节点之间添加额外的节点和边来填充图形。简言之，PadHomoGraph(graph1) = BatchHomoGraph(graph1, fake_graph) 虚构图中的节点计数和边计数由用户特定的参数决定。

参数：

n_node (Union(int, None)) - 目标图的节点计数。默认值：None。
n_edge (Union(int, None)) - 目标图的边计数。默认值：None。
mode (PadMode) - Pad模式，如果选择PadMode.CONST，虚构图将具有n_node数量的节点和n_edge数量的边。如果为PadMode.AUTO，虚构图的node_count和edge_count是根据输入图的大小通过 \(n\_node = 2^{ceil(log2(input\_graph.node\_count))}, n\_edge = 2^{ceil(log2(input\_graph.edge\_count))}\) 计算的。默认值：PadMode.AUTO。

输入：

graph (MindHomoGraph) - 输入图。

输出：

MindHomoGraph，填充图。

支持平台：

Ascend GPU

样例：

>>> from mindspore_gl.graph.ops import BatchHomoGraph, PadHomoGraph, PadMode
>>> import numpy as np
>>> from mindspore_gl.graph.graph import MindHomoGraph
>>> graph_list = []
>>> for _ in range(1):
...     graph = MindHomoGraph()
...     edges = np.array([[0, 2, 2, 3, 4, 5, 5, 6], [1, 0, 1, 5, 3, 4, 6, 4]])
...     graph.set_topo_coo(edges)
...     graph.node_count = 7
...     graph.edge_count = 8
...     graph_list.append(graph)
>>> batch_fn = BatchHomoGraph()
>>> batch_graph = batch_fn(graph_list)
>>> n_node = graph.node_count + 1
>>> n_edge = graph.edge_count + 30
>>> pad_graph_op = PadHomoGraph(mode=PadMode.CONST, n_node=n_node, n_edge=n_edge)
>>> pad_res = pad_graph_op(batch_graph)
>>> print(pad_res[0].edge_count, pad_res[1].edge_count)
8   30
>>> print(pad_res[0].node_count, pad_res[1].node_count)
7   1