Source code for experimental_experiment.xoptim.patterns.onnx_equal
import inspect
from typing import List, Optional
from onnx import NodeProto
from ..patterns_api import MatchResult, PatternOptimization
[docs]
class UnsqueezeEqualPattern(PatternOptimization):
"""
Replaces the sequence R -> Equal -> Unsqueeze, R -> Unsqueeze,
into R -> Unsqueeze -> Equal.
"""
[docs]
def match(
self,
g: "GraphBuilderPatternOptimization", # noqa: F821
node: NodeProto,
matched: List[MatchResult],
) -> Optional[MatchResult]:
if node.op_type != "Equal" or node.domain != "":
return self.none()
if not g.is_constant_scalar(node.input[1]):
return self.none(node, inspect.currentframe().f_lineno)
after = g.next_nodes(node.output[0])
if len(after) != 1:
return self.none(node, inspect.currentframe().f_lineno)
next_path = g.next_nodes(node.input[0])
if len(next_path) != 2:
return self.none(node, inspect.currentframe().f_lineno)
if next_path[0].op_type == node.op_type and next_path[1].op_type == "Unsqueeze":
if next_path[1].input[1] != after[0].input[1]:
return self.none(node, inspect.currentframe().f_lineno)
return MatchResult(self, [next_path[1], node, after[0]], self.apply)
if next_path[1].op_type == node.op_type and next_path[0].op_type == "Unsqueeze":
if next_path[0].input[1] != after[0].input[1]:
return self.none(node, inspect.currentframe().f_lineno)
return MatchResult(self, [next_path[0], node, after[0]], self.apply)
return self.none(node, inspect.currentframe().f_lineno)
[docs]
def apply(
self,
g: "GraphBuilder", # noqa: F821
node_unsqueeze: NodeProto,
node_equal: NodeProto,
node_equal_unsqueeze: NodeProto,
) -> List[NodeProto]:
return [
node_unsqueeze,
g.make_node(
node_equal.op_type,
[node_unsqueeze.output[0], node_equal.input[1]],
[node_equal_unsqueeze.output[0]],
domain=node_equal.domain,
name=f"{self.__class__.__name__}--{node_equal.name}",
),
]