def test_expand_dims_infer(self, axis, ref_out_shape):
graph = build_graph(nodes_attributes,
[('data_1', 'expand_dims'),
('expand_dims', 'data_2')],
{'expand_dims': {'expand_axis': axis}})
expand_dims_node = Node(graph, 'expand_dims')
ExpandDims.infer(expand_dims_node)
self.assertTrue(np.array_equal(expand_dims_node.out_node().shape, np.array(ref_out_shape)))
def test_expand_dims_infer(self, axis, ref_out_shape):
graph = build_graph(nodes_attributes,
[('data_1', 'expand_dims'),
('expand_dims', 'data_2')],
{'expand_dims': {'expand_axis': axis}})
Node(graph, 'data_1').shape = shape_array([2, 3, dynamic_dimension_value, 224])
expand_dims_node = Node(graph, 'expand_dims')
ExpandDims.infer(expand_dims_node)
self.assertTrue(strict_compare_tensors(expand_dims_node.out_node().shape, shape_array(ref_out_shape)))
def test_expand_dims_infer_value(self, axis, in_shape, ref_out_shape):
in_value = np.random.rand(*in_shape)
graph = build_graph(nodes_attributes,
[('data_1', 'expand_dims'),
('expand_dims', 'data_2')],
{'data_1': {'value': in_value},
'expand_dims': {'expand_axis': axis}})
expand_dims_node = Node(graph, 'expand_dims')
ExpandDims.infer(expand_dims_node)
self.assertTrue(np.array_equal(expand_dims_node.out_node().shape, np.array(ref_out_shape)))
self.assertTrue(np.array_equal(expand_dims_node.out_node().value, np.array(in_value.reshape(ref_out_shape))))
def replace_op(self, graph: Graph, node: Node):
out_node = Concat(
graph, {
'axis': node.axis,
'in_ports_count': len(node.in_ports()),
'name': node.name + '/Concat_',
}).create_node()
for ind in node.in_ports():
expand_dims_node = ExpandDims(
graph, {
'expand_axis': int64_array([node.axis]),
'name': node.name + '/ExpandDims_'
}).create_node()
node.in_port(ind).get_connection().set_destination(
expand_dims_node.in_port(0))
expand_dims_node.out_port(0).connect(out_node.in_port(ind))
# Replace edge from out port 0 of the matched node with a edge from node out_node.id with port 0.
# The "explicit" version of the return value is: [(out_node.id, 0)])
return [out_node.id]
def replace_op(self, graph: nx.MultiDiGraph, node: Node):
expand_dims_nodes = list()
expand_axis_node = Const(graph, dict(value=node.axis)).create_node([])
for ind, edge_attrs in node.in_edges().items():
expand_dims_nodes.append(
ExpandDims(graph,
dict(name=node.name + '/ExpandDims_')).create_node([
(node.in_node(ind), edge_attrs['out']),
expand_axis_node
]))
out_node = Concat(graph,
dict(name=node.name + '/Concat_',
axis=node.axis)).create_node(expand_dims_nodes)
# Replace edge from out port 0 of the matched node with a edge from node out_node.id with port 0.
# The "explicit" version of the return value is: [(out_node.id, 0)])
return [out_node.id]
def extract(cls, node):
axis = np.array(onnx_attr(node, 'axes', 'ints', default=[]),
dtype=np.int64)
ExpandDims.update_node_stat(node, {'expand_axis': axis})
return cls.enabled
def extract(cls, node):
attrs = get_mxnet_layer_attrs(node.symbol_dict)
expand_axis = attrs.int('axis', None)
ExpandDims.update_node_stat(node, {'expand_axis': expand_axis})
return cls.enabled