# Buggy code
def edge_func(self, edges):
    head = edges.src["emb"]
    tail = edges.dst["emb"]
    rel = edges.data["emb"]
    score = head * rel * tail
    # TODO: check if there exists minus sign and if gamma should be used here(jin)
    return {"score": nd.sum(score, axis=-1)}


# Traceback (AssertionError)
test_shared_mem_store.test_init ... /var/jenkins_home/workspace/DGL_PR-752@2/python/dgl/base.py:18: UserWarning: Initializer is not set. Use zero initializer instead. To suppress this warning, use `set_initializer` to explicitly specify which initializer to use.
warnings.warn(msg, warn_type)
/var/jenkins_home/workspace/DGL_PR-752@2/python/dgl/base.py:18: UserWarning: It may not be safe to access node data of all nodes.It's recommended to node data of a subset of nodes directly.
warnings.warn(msg, warn_type)
/var/jenkins_home/workspace/DGL_PR-752@2/python/dgl/base.py:18: UserWarning: It may not be safe to access edge data of all edges.It's recommended to edge data of a subset of edges directly.
warnings.warn(msg, warn_type)
[06:09:05] /var/jenkins_home/workspace/DGL_PR-752@2/src/runtime/shared_mem.cc:32: remove /test_graph1_node_feat for shared memory
[06:09:05] /var/jenkins_home/workspace/DGL_PR-752@2/src/runtime/shared_mem.cc:32: remove /test_graph1_node_test4 for shared memory
[06:09:05] /var/jenkins_home/workspace/DGL_PR-752@2/src/runtime/shared_mem.cc:32: remove /test_graph1_in for shared memory
[06:09:05] /var/jenkins_home/workspace/DGL_PR-752@2/src/runtime/shared_mem.cc:32: remove /test_graph1_edge_feat for shared memory
[06:09:05] /var/jenkins_home/workspace/DGL_PR-752@2/src/runtime/shared_mem.cc:32: remove /test_graph1_edge_test4 for shared memory
/var/jenkins_home/workspace/DGL_PR-752@2/python/dgl/base.py:18: UserWarning: Initializer is not set. Use zero initializer instead. To suppress this warning, use `set_initializer` to explicitly specify which initializer to use.
warnings.warn(msg, warn_type)
/var/jenkins_home/workspace/DGL_PR-752@2/python/dgl/base.py:18: UserWarning: It may not be safe to access node data of all nodes.It's recommended to node data of a subset of nodes directly.
warnings.warn(msg, warn_type)
/var/jenkins_home/workspace/DGL_PR-752@2/python/dgl/base.py:18: UserWarning: It may not be safe to access edge data of all edges.It's recommended to edge data of a subset of edges directly.
warnings.warn(msg, warn_type)

Arrays are not almost equal to 7 decimals

(mismatch 100.0%)
x: array([20., 20., 20., 20., 20., 20., 20., 20., 20., 20.], dtype=float32)
y: array(11)
Traceback (most recent call last):
File "/var/jenkins_home/workspace/DGL_PR-752@2/tests/distributed/test_shared_mem_store.py", line 65, in check_init_func
check_array_shared_memory(g, worker_id, [g.nodes[:].data['test4'], g.edges[:].data['test4']])
File "/var/jenkins_home/workspace/DGL_PR-752@2/tests/distributed/test_shared_mem_store.py", line 28, in check_array_shared_memory
assert_almost_equal(F.asnumpy(arr[0]), i + 10)
File "/usr/local/lib/python3.5/dist-packages/numpy/testing/nose_tools/utils.py", line 567, in assert_almost_equal
return assert_array_almost_equal(actual, desired, decimal, err_msg)
File "/usr/local/lib/python3.5/dist-packages/numpy/testing/nose_tools/utils.py", line 965, in assert_array_almost_equal
precision=decimal)
File "/usr/local/lib/python3.5/dist-packages/numpy/testing/nose_tools/utils.py", line 781, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 7 decimals

(mismatch 100.0%)
x: array([20., 20., 20., 20., 20., 20., 20., 20., 20., 20.], dtype=float32)
y: array(11)
FAIL

# Fixed code
def edge_func(self, edges):
    real_head, img_head = nd.split(edges.src["emb"], num_outputs=2, axis=-1)
    real_tail, img_tail = nd.split(edges.dst["emb"], num_outputs=2, axis=-1)
    real_rel, img_rel = nd.split(edges.data["emb"], num_outputs=2, axis=-1)

    score = (
        real_head * real_tail * real_rel
        + img_head * img_tail * real_rel
        + real_head * img_tail * img_rel
        - img_head * real_tail * img_rel
    )
    # TODO: check if there exists minus sign and if gamma should be used here(jin)
    return {"score": nd.sum(score, -1)}