def extract(cls, node):
attrs = {
'op': __class__.op,
'order': node.module.order,
}
Transpose.update_node_stat(node, attrs)
return cls.enabled
def extract(node):
# In case of undefined 'perm' attribute, Transpose operation in ONNX reverse the dimensions
order = onnx_attr(node, 'perm', 'ints', default=None)
attrs = {
'order': int64_array(order) if order is not None else None,
'reverse_order': order is None
}
Transpose.update_node_stat(node, attrs)
return __class__.enabled
def replace_pattern(self, graph: Graph, match: [str, Node]):
swapaxis = match['op']
assert len(swapaxis.in_ports()) == 1
assert swapaxis.has_and_set('order')
order = swapaxis.order
swapaxis.add_input_port(1)
const = Const(graph, {'value': order}).create_node()
const.out_port(0).connect(swapaxis.in_port(1))
Transpose.update_node_stat(swapaxis, {'need_shape_inference': True})
del swapaxis['order']
def extract(cls, node):
order = node.pb.permute_param.order
Transpose.update_node_stat(node,
{'order': np.array(order, dtype=np.int32)})
return cls.enabled
def extract(cls, node):
Transpose.update_node_stat(node, {'order': None})
return cls.enabled
def extract(node):
Transpose.update_node_stat(node, {'order': None})
return __class__.enabled
def extract(node):
attrs = get_mxnet_layer_attrs(node.symbol_dict)
order = list(attrs.tuple("axes", int, None))
Transpose.update_node_stat(node,
{'order': np.array(order, dtype=np.int32)})
return __class__.enabled
