def test_get_padding_values(self):
shape = TensorGraphShape(num_nodes=42, node_dims=8, edge_dims=6)
graph_padding = shape.get_padding_values()
padding_node = graph_padding[NODE_FEATURES]
padding_edge = graph_padding[EDGE_FEATURES]
self.assertAllEqual(padding_node, 0.0)
self.assertAllEqual(padding_edge, 0.0)
def test_constructor_defaults(self):
shape = TensorGraphShape()
assert shape.num_nodes is None
assert shape.node_dims == 1
assert shape.edge_dims == 1
assert shape.node_dtype == tf.float32
assert shape.edge_dtype == tf.float32
def test_constructor_with_values(self):
shape = TensorGraphShape(num_nodes=42,
node_dims=8,
edge_dims=6,
node_dtype=tf.float64,
edge_dtype=tf.int32)
assert shape.num_nodes == 42
assert shape.node_dims == 8
assert shape.edge_dims == 6
assert shape.node_dtype == tf.float64
assert shape.edge_dtype == tf.int32
def test_simple_graph(self):
shape = TensorGraphShape(num_nodes=42,
node_dims=8, edge_dims=6,
node_dtype=tf.float64, edge_dtype=tf.float32)
input = TensorGraphInput(shape)
input_node_features = input[NODE_FEATURES]
input_edge_features = input[EDGE_FEATURES]
self.assertAllEqual(input_node_features.shape, (None, 42, 8))
self.assertAllEqual(input_edge_features.shape, (None, 6, 42, 42))
assert input_node_features.name.startswith('graph_node_features')
assert input_edge_features.name.startswith('graph_edge_features')
def test_define_tfrecord_features_with_name(self):
shape = TensorGraphShape(num_nodes=42,
node_dims=8,
edge_dims=6,
node_dtype=tf.float64,
edge_dtype=tf.float32)
feat = define_tfrecord_features(shape, name='test')
assert feat == {
'test:num_nodes': tf.io.FixedLenFeature([], tf.int64),
'test:node_features': tf.io.VarLenFeature(tf.float64),
'test:edge_features': tf.io.VarLenFeature(tf.float32),
}