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Minjie Wang 3564fdc5f1 [Bugfix][Model] fix treelstm model (#274)
* fix bug after moving batcher out of dgl.data

* disable mx utest
2018-12-06 23:52:50 -05:00

75 行
2.3 KiB
Python

import os
os.environ['DGLBACKEND'] = 'mxnet'
import dgl
import networkx as nx
import numpy as np
import mxnet as mx
def mfunc(edges):
return {'m' : edges.src['x']}
def rfunc(nodes):
msg = mx.nd.sum(nodes.mailbox['m'], 1)
return {'x' : nodes.data['x'] + msg}
def test_prop_nodes_bfs():
g = dgl.DGLGraph(nx.path_graph(5))
g.ndata['x'] = mx.nd.ones(shape=(5, 2))
g.register_message_func(mfunc)
g.register_reduce_func(rfunc)
dgl.prop_nodes_bfs(g, 0)
# pull nodes using bfs order will result in a cumsum[i] + data[i] + data[i+1]
assert np.allclose(g.ndata['x'].asnumpy(),
np.array([[2., 2.], [4., 4.], [6., 6.], [8., 8.], [9., 9.]]))
def _test_prop_edges_dfs():
g = dgl.DGLGraph(nx.path_graph(5))
g.register_message_func(mfunc)
g.register_reduce_func(rfunc)
g.ndata['x'] = mx.nd.ones(shape=(5, 2))
dgl.prop_edges_dfs(g, 0)
# snr using dfs results in a cumsum
assert np.allclose(g.ndata['x'].asnumpy(),
np.array([[1., 1.], [2., 2.], [3., 3.], [4., 4.], [5., 5.]]))
g.ndata['x'] = mx.nd.ones(shape=(5, 2))
dgl.prop_edges_dfs(g, 0, has_reverse_edge=True)
# result is cumsum[i] + cumsum[i-1]
assert np.allclose(g.ndata['x'].asnumpy(),
np.array([[1., 1.], [3., 3.], [5., 5.], [7., 7.], [9., 9.]]))
g.ndata['x'] = mx.nd.ones(shape=(5, 2))
dgl.prop_edges_dfs(g, 0, has_nontree_edge=True)
# result is cumsum[i] + cumsum[i+1]
assert np.allclose(g.ndata['x'].asnumpy(),
np.array([[3., 3.], [5., 5.], [7., 7.], [9., 9.], [5., 5.]]))
def test_prop_nodes_topo():
# bi-directional chain
g = dgl.DGLGraph(nx.path_graph(5))
# tree
tree = dgl.DGLGraph()
tree.add_nodes(5)
tree.add_edge(1, 0)
tree.add_edge(2, 0)
tree.add_edge(3, 2)
tree.add_edge(4, 2)
tree.register_message_func(mfunc)
tree.register_reduce_func(rfunc)
# init node feature data
tree.ndata['x'] = mx.nd.zeros(shape=(5, 2))
# set all leaf nodes to be ones
tree.nodes[[1, 3, 4]].data['x'] = mx.nd.ones(shape=(3, 2))
dgl.prop_nodes_topo(tree)
# root node get the sum
assert np.allclose(tree.nodes[0].data['x'].asnumpy(), np.array([[3., 3.]]))
if __name__ == '__main__':
test_prop_nodes_bfs()
#TODO(zhengda): the test leads to segfault in MXNet on Ubuntu 16.04.
#_test_prop_edges_dfs()
test_prop_nodes_topo()