def replace_sub_graph(self, graph: Graph, match: [dict, SubgraphMatch]):
reduce_max_axis = match['reduce_indices_max'].value
reduce_sum_axis = match['reduce_indices_sum'].value
if reduce_max_axis.ndim == 0:
reduce_max_axis = reduce_max_axis.reshape([1])
if reduce_sum_axis.ndim == 0:
reduce_sum_axis = reduce_sum_axis.reshape([1])
if len(reduce_max_axis) != 1:
log.info('The reductions indices contain more than 1 element. Cannot convert to Softmax.')
return
if not np.array_equal(reduce_max_axis, reduce_sum_axis):
log.info('The reduce indices are not equal: {} vs {}. Cannot convert to Softmax'
''.format(reduce_max_axis, reduce_sum_axis))
return
softmax = Softmax(graph, {'name': match['input'].name + '/Softmax', 'axis': reduce_sum_axis[0]}).create_node()
match['input'].out_port(0).connect(softmax.in_port(0))
match['div'].out_port(0).get_connection().set_source(softmax.out_port(0))
log.debug('Successfully created SoftMax node')
def replace_op(self, graph: Graph, node: Node):
log = LogOp(graph, {'name': node.name + '/Log_'}).create_node()
softmax = Softmax(graph, {
'axis': 1,
'name': node.name + '/SoftMax_'
}).create_node()
# Connect nodes: input -> Softmax -> Log
node.in_port(0).get_connection().set_destination(softmax.in_port(0))
log.in_port(0).get_connection().set_source(softmax.out_port(0))
# The "explicit" version of the return value is: [(out_node.id, 0)])
return [log.id]
def replace_op(self, graph: Graph, node: Node):
node_name = node.soft_get('name', node.id)
assert node.has_valid(
'axis'
), 'The node "{}" does not have mandatory attribute "axis"'.format(
node_name)
log = LogOp(graph, {}).create_node()
softmax = Softmax(graph, {
'axis': node.axis,
'name': node_name + '/Softmax'
}).create_node()
rename_nodes([(node, node_name + '/delete'), (log, node_name)])
# Connect nodes: input -> Softmax -> Log
node.in_port(0).get_connection().set_destination(softmax.in_port(0))
log.in_port(0).get_connection().set_source(softmax.out_port(0))
return [log.id]
def replace_op(self, graph: Graph, node: Node):
node_name = node.soft_get('name', node.id)
assert node.has_valid(
'axis'
), 'The node "{}" does not have mandatory attribute "axis"'.format(
node_name)
flatten_node = FlattenONNX(graph, {
'name': node_name + '/FlattenONNX_',
'axis': node.axis
}).create_node()
shape_node = Shape(graph, {
'name': node_name + '/ShapeOf_'
}).create_node()
softmax_node = Softmax(
graph, {
'name':
node_name + '/Softmax_',
'axis':
1,
'framework_node_name':
node_name,
'rename_condition':
lambda n: len(n.graph.get_op_nodes(name=node_name)) == 0
}).create_node()
reshape_node = Reshape(graph, {}).create_node()
rename_nodes([(node, node_name + '/delete'),
(reshape_node, node_name)])
flatten_node.out_port(0).connect(softmax_node.in_port(0))
softmax_node.out_port(0).connect(reshape_node.in_port(0))
shape_node.out_port(0).connect(reshape_node.in_port(1))
source = node.in_port(0).get_source()
flatten_node.in_port(0).connect(source)
shape_node.in_port(0).connect(source)
return [reshape_node.id]