def find_and_replace_pattern(self, graph: Graph):
for attr_pad in graph.get_op_nodes(op='AttributedPad'):
# save the original node name to use it in the new Pad op instance
original_name = attr_pad.soft_get('name', attr_pad.id)
new_pad = Pad(graph, {
'mode': attr_pad.soft_get('mode', None),
}).create_node()
rename_nodes([(attr_pad, original_name + '/to_be_removed'),
(new_pad, original_name)])
attr_pad.in_port(0).get_connection().set_destination(
new_pad.in_port(0))
new_pad.in_port(1).connect(
Const(graph, {
'value': attr_pad.pads[:, 0]
}).create_node().out_port(0))
new_pad.in_port(2).connect(
Const(graph, {
'value': attr_pad.pads[:, 1]
}).create_node().out_port(0))
if attr_pad.soft_get('mode') == 'constant':
new_pad.in_port(3).connect(
Const(graph, {
'value': attr_pad.fill_value
}).create_node().out_port(0))
attr_pad.out_port(0).get_connection().set_source(
new_pad.out_port(0))
graph.remove_node(attr_pad.id)
def find_and_replace_pattern(self, graph: Graph):
for tfpad in graph.get_op_nodes(op='TFPad'):
# save the original node name to use it in the new Pad op instance
original_name = tfpad.soft_get('name', tfpad.id)
tfpad['name'] = original_name + '/to_be_removed'
new_pad = Pad(graph, {'mode': tfpad.soft_get('mode', None), }).create_node()
rename_node(new_pad, original_name)
tfpad.in_port(0).get_connection().set_destination(new_pad.in_port(0))
if tfpad.soft_get('mode') == 'constant':
# the input with fill value is an optional third input in TF
if not tfpad.in_port(2).disconnected():
tfpad.in_port(2).get_connection().set_destination(new_pad.in_port(3))
# convert TF representation of the pads as [N, 2] to MO representation: [N] and [N]
transposed_pads = create_op_with_const_inputs(graph, Transpose, {1: int64_array([1, 0])})
tfpad.in_port(1).get_connection().set_destination(transposed_pads.in_port(0))
split_pads = create_op_with_const_inputs(graph, Split, {1: int64_array(0)}, {'num_splits': 2})
transposed_pads.out_port(0).connect(split_pads.in_port(0))
for port_ind in range(2):
split_pads.add_output_port(port_ind, skip_if_exist=True)
new_pad.in_port(port_ind + 1).connect(split_pads.out_port(port_ind))
new_pad.in_port(port_ind + 1).get_connection().insert_node(
create_op_with_const_inputs(graph, Squeeze, {1: int64_array([0])}))
tfpad.out_port(0).get_connection().set_source(new_pad.out_port(0))
graph.remove_node(tfpad.id)
def find_and_replace_pattern(self, graph: Graph):
for attr_pad in graph.get_op_nodes(op='AttributedPad'):
# save the original node name to use it in the new Pad op instance
original_name = attr_pad.soft_get('name', attr_pad.id)
new_pad = Pad(graph, {
'mode': attr_pad.soft_get('mode', None),
}).create_node()
rename_nodes([(attr_pad, original_name + '/to_be_removed'),
(new_pad, original_name)])
attr_pad.in_port(0).get_connection().set_destination(
new_pad.in_port(0))
new_pad.in_port(1).connect(
Const(graph, {
'value': attr_pad.pads[:, 0]
}).create_node().out_port(0))
new_pad.in_port(2).connect(
Const(graph, {
'value': attr_pad.pads[:, 1]
}).create_node().out_port(0))
if attr_pad.soft_get('mode') == 'constant':
# create Constant node of proper data type (equal to the data type of the Pad first input)
convert_pad_value = create_op_with_const_inputs(
graph, ConvertLike, {0: attr_pad.fill_value},
{'name': original_name + '/pad_value_convert'})
convert_pad_value.in_port(1).connect(
new_pad.in_port(0).get_source())
new_pad.in_port(3).connect(convert_pad_value.out_port(0))
attr_pad.out_port(0).get_connection().set_source(
new_pad.out_port(0))
graph.remove_node(attr_pad.id)