Files
openvino/ngraph/test/matcher_pass.cpp
Ilya Churaev 256e047ad2 Revert "Deprecate global element types (#3444)" (#3468)
* Revert "Deprecate global element types (#3444)"

This reverts commit 071fb9d1c6.

* Fixed code style
2020-12-04 13:28:53 +03:00

120 lines
4.4 KiB
C++

//*****************************************************************************
// Copyright 2017-2020 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//*****************************************************************************
#include <algorithm>
#include <cstdio>
#include <iostream>
#include <list>
#include <memory>
#include <ngraph/pattern/op/wrap_type.hpp>
#include <ngraph/rt_info.hpp>
#include "gtest/gtest.h"
#include "ngraph/graph_util.hpp"
#include "ngraph/log.hpp"
#include "ngraph/ngraph.hpp"
#include "ngraph/opsets/opset3.hpp"
#include "ngraph/pass/graph_rewrite.hpp"
#include "ngraph/pass/manager.hpp"
using namespace ngraph;
using namespace std;
class TestMatcherPass : public pass::MatcherPass
{
public:
TestMatcherPass()
{
auto m_relu1 =
ngraph::pattern::wrap_type<ngraph::opset3::Relu>(pattern::consumers_count(1));
auto m_relu2 = ngraph::pattern::wrap_type<ngraph::opset3::Relu>({m_relu1});
ngraph::graph_rewrite_callback callback = [=](pattern::Matcher& m) {
// Map that helps to connect labels with matched outputs
auto& node_to_output = m.get_pattern_value_map();
// Create new Relu operation and add register it for additional execution
auto new_relu = register_new_node<ngraph::opset3::Relu>(
node_to_output.at(m_relu1).get_node_shared_ptr()->input_value(0));
// Copy runtime info attributes to newly created operation
ngraph::copy_runtime_info(m.get_matched_nodes(), new_relu);
// Save last Relu name to new Relu operation
new_relu->set_friendly_name(m.get_match_root()->get_friendly_name());
// Replace Relu->Relu with Relu
ngraph::replace_node(m.get_match_root(), new_relu);
// Return true as the root node was changed
return true;
};
// Register pattern with Divide operation as a pattern root node
auto m = std::make_shared<ngraph::pattern::Matcher>(m_relu2, "ReluReluFusion");
// Register Matcher
this->register_matcher(m, callback);
}
};
TEST(pattern, matcher_pass)
{
{
TestMatcherPass test_matcher;
auto a = make_shared<opset3::Parameter>(element::f32, Shape{1});
auto b = make_shared<opset3::Relu>(a);
auto c = make_shared<opset3::Relu>(b);
auto f = std::make_shared<Function>(ngraph::NodeVector{c}, ParameterVector{a});
ASSERT_TRUE(test_matcher.get_matcher()->match(c->output(0)));
ASSERT_TRUE(test_matcher.get_matcher()->get_matched_nodes().size() == 2);
test_matcher.get_matcher()->clear_state();
ASSERT_TRUE(test_matcher.get_matcher()->get_matched_nodes().empty());
test_matcher.apply(c);
ASSERT_TRUE(test_matcher.get_new_nodes().size() == 1);
test_matcher.apply(test_matcher.get_new_nodes()[0]);
ASSERT_TRUE(test_matcher.get_new_nodes().empty());
}
{
TestMatcherPass test_matcher;
auto a = make_shared<opset3::Parameter>(element::f32, Shape{1});
auto b = make_shared<opset3::Relu>(a);
auto c = make_shared<opset3::Relu>(b);
auto f = std::make_shared<Function>(ngraph::NodeVector{b, c}, ParameterVector{a});
ASSERT_FALSE(test_matcher.get_matcher()->match(c->output(0)));
}
{
std::shared_ptr<Function> f;
{
auto a = make_shared<opset3::Parameter>(element::f32, Shape{1});
auto b = make_shared<opset3::Relu>(a);
auto c = make_shared<opset3::Relu>(b);
auto d = make_shared<opset3::Relu>(c);
f = std::make_shared<Function>(ngraph::NodeVector{d}, ParameterVector{a});
}
pass::GraphRewrite pass;
pass.add_matcher<TestMatcherPass>();
pass.run_on_function(f);
// Parameter->Relu->Result
ASSERT_TRUE(f->get_ops().size() == 3);
}
}