Source code for experimental_experiment.xoptim.patterns.onnx_clip
import inspect
from typing import List, Optional
from onnx import NodeProto
from ..patterns_api import MatchResult, PatternOptimization
[docs]
class ClipClipPattern(PatternOptimization):
"""
Merges consecutive clips if one is defining min and the other max.
"""
[docs]
def match(
self,
g: "GraphBuilderPatternOptimization", # noqa: F821
node: NodeProto,
matched: List[MatchResult],
) -> Optional[MatchResult]:
if node.op_type != "Clip" or node.domain != "":
return self.none()
before = g.node_before(node.input[0])
if (
before is None
or g.is_used_more_than_once(node.input[0])
or before.op_type != "Clip"
or before.domain != ""
):
return self.none(node, inspect.currentframe().f_lineno)
min1 = before.input[1] if len(before.input) > 1 else ""
min2 = node.input[1] if len(node.input) > 1 else ""
if (min1 and min2) or (not min1 and not min2):
return self.none(node, inspect.currentframe().f_lineno)
max1 = before.input[2] if len(before.input) > 2 else ""
max2 = node.input[2] if len(node.input) > 2 else ""
if (max1 and max2) or (not max1 and not max2):
return self.none(node, inspect.currentframe().f_lineno)
return MatchResult(self, [before, node], self.apply, insert_at=node)
[docs]
def apply(
self,
g: "GraphBuilder", # noqa: F821
before: NodeProto,
node: NodeProto,
) -> List[NodeProto]:
# merges clips
min1 = before.input[1] if len(before.input) > 1 else ""
min2 = node.input[1] if len(node.input) > 1 else ""
max1 = before.input[2] if len(before.input) > 2 else ""
max2 = node.input[2] if len(node.input) > 2 else ""
return [
g.make_node(
"Clip",
[before.input[0], min1 or min2, max1 or max2],
node.output,
name=f"{self.__class__.__name__}--{node.name}",
)
]