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[TRANSFORMATIONS] Create python binding for pattern::Optional (openvi…
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…notoolkit#23558)

[TRANSFORMATIONS] Create python binding for pattern::Optional

Expose the C++ op::pattern::Optional to Python in order to
simplify patterns creation.
Cover the functionality with the dedicated tests.

### Tickets:
CVS-133523

Signed-off-by: Andrii Staikov <[email protected]>

---------

Signed-off-by: Andrii Staikov <[email protected]>
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CuriousPanCake authored and alvoron committed Apr 29, 2024
1 parent fd11b72 commit 239a90f
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Showing 4 changed files with 245 additions and 19 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
# type: ignore
# flake8: noqa

from openvino._pyopenvino.passes import ModelPass, Matcher, MatcherPass, PassBase, WrapType, Or, AnyInput
from openvino._pyopenvino.passes import ModelPass, Matcher, MatcherPass, PassBase, WrapType, Or, AnyInput, Optional
from openvino._pyopenvino.passes import (
consumers_count,
has_static_dim,
Expand Down
113 changes: 113 additions & 0 deletions src/bindings/python/src/pyopenvino/graph/passes/pattern_ops.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@
#include <string>

#include "openvino/pass/pattern/op/label.hpp"
#include "openvino/pass/pattern/op/optional.hpp"
#include "openvino/pass/pattern/op/or.hpp"
#include "openvino/pass/pattern/op/pattern.hpp"
#include "openvino/pass/pattern/op/wrap_type.hpp"
Expand Down Expand Up @@ -482,6 +483,117 @@ static void reg_pattern_any_input(py::module m) {
});
}

static void reg_pattern_optional(py::module m) {
py::class_<ov::pass::pattern::op::Optional, std::shared_ptr<ov::pass::pattern::op::Optional>, ov::Node>
optional_type(m, "Optional");
optional_type.doc() = "openvino.runtime.passes.Optional wraps ov::pass::pattern::op::Optional";

optional_type.def(py::init([](const std::vector<std::string>& type_names) {
return std::make_shared<ov::pass::pattern::op::Optional>(get_types(type_names));
}),
py::arg("type_name"),
R"(
Create Optional with the given node type.
:param type_names: node type. For example: ["opset8.Abs", "opset8.Relu"]
:type type_names: List[str]
)");

optional_type.def(py::init([](const std::vector<std::string>& type_names, const Predicate& predicate) {
return std::make_shared<ov::pass::pattern::op::Optional>(get_types(type_names), predicate);
}),
py::arg("type_names"),
py::arg("predicate"),
R"(
Create Optional with the given node type and predicate.
:param type_names: node type. For example: ["opset8.Abs", "opset8.Relu"]
:type type_names: List[str]
:param predicate: Function that performs additional checks for matching.
:type predicate: function
)");

optional_type.def(
py::init([](const std::vector<std::string>& type_names,
const ov::Output<ov::Node>& input,
const Predicate& predicate) {
return std::make_shared<ov::pass::pattern::op::Optional>(get_types(type_names), input, predicate);
}),
py::arg("type_names"),
py::arg("input"),
py::arg("predicate"),
R"(
Create Optional with the given node type, input node and predicate.
:param type_names: node type. For example: ["opset8.Abs", "opset8.Relu"]
:type type_names: List[str]
:param input: input node's output.
:type input: openvino.runtime.Output
:param predicate: Function that performs additional checks for matching.
:type predicate: function
)");

optional_type.def(
py::init([](const std::vector<std::string>& type_names, const ov::Output<ov::Node>& input) {
return std::make_shared<ov::pass::pattern::op::Optional>(get_types(type_names), input, nullptr);
}),
py::arg("type_names"),
py::arg("input"),
R"(
Create Optional with the given node type and input node.
:param type_names: node type. For example: ["opset8.Abs", "opset8.Relu"]
:type type_names: List[str]
:param input: input node's output.
:type input: openvino.runtime.Output
)");

optional_type.def(
py::init([](const std::vector<std::string>& type_names, const std::shared_ptr<ov::Node>& input) {
return std::make_shared<ov::pass::pattern::op::Optional>(get_types(type_names), input, nullptr);
}),
py::arg("type_names"),
py::arg("input"),
R"(
Create Optional with the given node type and input node.
:param type_names: node type. For example: ["opset8.Abs", "opset8.Relu"]
:type type_names: List[str]
:param input: input node
:type input: openvino.runtime.Node
)");

optional_type.def(py::init([](const std::vector<std::string>& type_names,
const std::shared_ptr<ov::Node>& input,
const Predicate& pred) {
return std::make_shared<ov::pass::pattern::op::Optional>(get_types(type_names), input, pred);
}),
py::arg("type_names"),
py::arg("input"),
py::arg("pred"),
R"(
Create Optional with the given node type, input node and predicate.
:param type_names: node type. For example: ["opset8.Abs", "opset8.Relu"]
:type type_names: List[str]
:param input: input node
:type input: openvino.runtime.Node
:param predicate: Function that performs additional checks for matching.
:type predicate: function
)");

optional_type.def("__repr__", [](const ov::pass::pattern::op::Optional& self) {
return Common::get_simple_repr(self);
});
}

inline void reg_predicates(py::module m) {
m.def("consumers_count", &ov::pass::pattern::consumers_count);
m.def("has_static_dim", &ov::pass::pattern::has_static_dim);
Expand All @@ -497,5 +609,6 @@ void reg_passes_pattern_ops(py::module m) {
reg_pattern_any_input(m);
reg_pattern_wrap_type(m);
reg_pattern_or(m);
reg_pattern_optional(m);
reg_predicates(m);
}
Original file line number Diff line number Diff line change
Expand Up @@ -2,10 +2,11 @@
# Copyright (C) 2018-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest

from openvino import PartialShape
from openvino.runtime import opset13 as ops
from openvino.runtime.passes import Matcher, WrapType, Or, AnyInput
from openvino.runtime.passes import Matcher, WrapType, Or, AnyInput, Optional
from openvino.runtime.passes import (
consumers_count,
has_static_dim,
Expand Down Expand Up @@ -85,6 +86,99 @@ def test_any_input_predicate():
assert not matcher.match(slope)


def test_optional_full_match():
model_input = ops.parameter(PartialShape.dynamic())
model_abs = ops.abs(model_input)
model_relu = ops.relu(model_abs.output(0))

pattern_abs = Optional(["opset13.Abs"])
pattern_relu = ops.relu(pattern_abs.output(0))

matcher = Matcher(pattern_relu, "FindRelu")
assert matcher.match(model_relu)


@pytest.mark.skip("Optional is not working properly yet CVS-136454")
def test_optional_half_match():
model_input = ops.parameter(PartialShape.dynamic())
model_relu = ops.relu(model_input)
model_relu1 = ops.relu(model_relu.output(0))

pattern_abs = Optional(["opset13.Abs"])
pattern_relu = ops.relu(pattern_abs.output(0))

matcher = Matcher(pattern_relu, "FindRelu")
assert matcher.match(model_relu1)


@pytest.mark.skip("Optional is not working properly yet CVS-136454")
def test_optional_one_node():
model_input = ops.parameter(PartialShape.dynamic())
model_relu = ops.relu(model_input)
model_abs = ops.abs(model_input)

assert Matcher(Optional(["opset13.Relu"]), "OneNodeTest").match(model_relu)
assert not Matcher(Optional(["opset13.Abs"]), "OneNodeTest").match(model_relu)

assert not Matcher(Optional(["opset13.Relu"]), "OneNodeTest").match(model_abs)

assert Matcher(Optional(["opset13.Parameter"]), "OneNodeTest").match(ops.parameter(PartialShape.dynamic()))
assert not Matcher(Optional(["opset13.Relu"]), "OneNodeTest").match(ops.parameter(PartialShape.dynamic()))


@pytest.mark.skip("Optional is not working properly yet CVS-136454")
def test_optional_predicate():
model_input = ops.parameter(PartialShape.dynamic())
model_add = ops.add(model_input, model_input)
model_relu = ops.relu(model_add.output(0))
model_abs = ops.abs(model_add.output(0))

assert Matcher(Optional(["opset13.Relu"], lambda x: True), "TestInputPredicate").match(model_relu)
assert not Matcher(Optional(["opset13.Relu"], lambda x: False), "TestInputPredicate").match(model_relu)
assert Matcher(Optional(["opset13.Add"], consumers_count(2)), "FindPredicate").match(model_add)
assert not Matcher(Optional(["opset13.Add"], consumers_count(1)), "FindPredicate").match(model_add)
assert Matcher(Optional(["opset13.Abs", "opset13.Result"], consumers_count(0)), "FindPredicate").match(model_abs)


def test_optional_with_input():
model_input = ops.parameter(PartialShape.dynamic())
model_add = ops.add(model_input, model_input)
model_relu = ops.relu(model_add.output(0))

assert Matcher(Optional(["opset13.Relu"], model_add.output(0)), "TestInput").match(model_relu)
assert not Matcher(Optional(["opset13.Cos"], model_add.output(0)), "TestInput").match(model_relu)


def test_optional_with_input_and_predicate():
model_input = ops.parameter(PartialShape.dynamic())
model_add = ops.add(model_input, model_input)
model_relu = ops.relu(model_add.output(0))

pattern_add = ops.add(AnyInput(), AnyInput())

assert Matcher(Optional(["opset13.Relu"], pattern_add.output(0), lambda x: True), "TestInputPredicate").match(model_relu)
assert not Matcher(Optional(["opset13.Relu"], pattern_add.output(0), lambda x: False), "TestInputPredicate").match(model_relu)


def test_optional_with_input_node():
model_input = ops.parameter(PartialShape.dynamic())
model_add = ops.add(model_input, model_input)
model_relu = ops.relu(model_add.output(0))

assert Matcher(Optional(["opset13.Relu"], model_add), "TestInputNode").match(model_relu)
assert not Matcher(Optional(["opset13.Cos"], model_add), "TestInputNode").match(model_relu)


def test_optional_with_input_node_and_predicate():
model_input = ops.parameter(PartialShape.dynamic())
model_add = ops.add(model_input, model_input)
model_relu = ops.relu(model_add.output(0))

assert Matcher(Optional(["opset13.Relu"], model_add, lambda x: True), "TestInputNodePredicate").match(model_relu)
assert not Matcher(Optional(["opset13.Relu"], model_add, lambda x: False), "TestInputNodePredicate").match(model_relu)
assert not Matcher(Optional(["opset13.Cos"], model_add, lambda x: True), "TestInputNodePredicate").match(model_relu)


def test_all_predicates():
static_param = ops.parameter(PartialShape([1, 3, 22, 22]), np.float32)
dynamic_param = ops.parameter(PartialShape([-1, 6]), np.compat.long)
Expand Down
53 changes: 36 additions & 17 deletions src/core/tests/pattern.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -510,37 +510,38 @@ TEST(pattern, matching_optional) {
std::make_shared<op::v0::Abs>(c)));
}

TEST(pattern, optional_full_match) {
// Optional is not working properly yet CVS-136454
TEST(pattern, DISABLED_optional_full_match) {
Shape shape{};
auto model_input1 = std::make_shared<op::v0::Parameter>(element::i32, shape);
auto model_input2 = std::make_shared<op::v0::Parameter>(element::i32, shape);
auto model_add = std::make_shared<op::v1::Add>(model_input1->output(0), model_input2->output(0));
auto model_relu = std::make_shared<op::v0::Relu>(model_add->output(0));
auto model_input = std::make_shared<op::v0::Parameter>(element::i32, shape);
auto model_relu = std::make_shared<op::v0::Relu>(model_input);
auto model_relu1 = std::make_shared<op::v0::Relu>(model_relu->output(0));

auto pattern_add = ov::pass::pattern::optional<op::v1::Add>();
auto pattern_relu = std::make_shared<op::v0::Relu>(pattern_add->output(0));
auto pattern_relu = ov::pass::pattern::optional<op::v0::Relu>();
auto pattern_relu1 = std::make_shared<op::v0::Relu>(pattern_relu->output(0));

TestMatcher tm;

ASSERT_TRUE(tm.match(pattern_relu, model_relu));
ASSERT_TRUE(tm.match(pattern_relu1, model_relu1));
}

TEST(pattern, optional_half_match) {
// Optional is not working properly yet CVS-136454
TEST(pattern, DISABLED_optional_half_match) {
Shape shape{};
auto model_input1 = std::make_shared<op::v0::Parameter>(element::i32, shape);
auto model_input2 = std::make_shared<op::v0::Parameter>(element::i32, shape);
auto model_add = std::make_shared<op::v1::Add>(model_input1->output(0), model_input2->output(0));
auto model_relu = std::make_shared<op::v0::Relu>(model_add->output(0));
auto model_input = std::make_shared<op::v0::Parameter>(element::i32, shape);
auto model_relu = std::make_shared<op::v0::Relu>(model_input);
auto model_relu1 = std::make_shared<op::v0::Relu>(model_relu->output(0));

auto pattern_relu = ov::pass::pattern::optional<op::v0::Relu>();
auto pattern_relu1 = std::make_shared<op::v0::Relu>(pattern_relu->output(0));
auto pattern_abs = ov::pass::pattern::optional<op::v0::Abs>();
auto pattern_relu = std::make_shared<op::v0::Relu>(pattern_abs->output(0));

TestMatcher tm;

ASSERT_TRUE(tm.match(pattern_relu1, model_relu));
ASSERT_TRUE(tm.match(pattern_relu, model_relu1));
}

TEST(pattern, optional_testing) {
// Optional is not working properly yet CVS-136454
TEST(pattern, DISABLED_optional_testing) {
Shape shape{};
auto model_input1 = std::make_shared<op::v0::Parameter>(element::i32, shape);
auto model_input2 = std::make_shared<op::v0::Parameter>(element::i32, shape);
Expand Down Expand Up @@ -572,6 +573,24 @@ TEST(pattern, optional_testing) {
std::make_shared<op::v0::Relu>(std::make_shared<op::v0::Relu>(model_add))));
}

// Optional is not working properly yet CVS-136454
TEST(pattern, DISABLED_optional_one_node) {
Shape shape{};
auto model_input = std::make_shared<op::v0::Parameter>(element::i32, shape);
auto model_relu = std::make_shared<op::v0::Relu>(model_input);
auto model_abs = std::make_shared<op::v0::Abs>(model_input);

TestMatcher tm;

ASSERT_TRUE(tm.match(ov::pass::pattern::optional<op::v0::Relu>(), model_relu));
ASSERT_FALSE(tm.match(ov::pass::pattern::optional<op::v0::Abs>(), model_relu));

ASSERT_FALSE(tm.match(ov::pass::pattern::optional<op::v0::Relu>(), model_abs));

ASSERT_TRUE(tm.match(ov::pass::pattern::optional<op::v0::Parameter>(), model_input));
ASSERT_FALSE(tm.match(ov::pass::pattern::optional<op::v0::Relu>(), model_input));
}

TEST(pattern, mean) {
// construct mean
TestMatcher n;
Expand Down

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