Files
openvino/docs/snippets/template_pattern_transformation.cpp
Ilya Churaev 7c8dc76223 Rename template config and move transformations to code snippets (#16133)
* Rename template config and move transformations to code snippets

* Fixed documentation

* Rename template config
2023-03-08 07:12:05 +00:00

156 lines
6.0 KiB
C++

// Copyright (C) 2018-2023 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include "template_pattern_transformation.hpp"
#include "openvino/cc/pass/itt.hpp"
#include "openvino/core/rt_info.hpp"
#include "openvino/opsets/opset3.hpp"
#include "openvino/pass/manager.hpp"
#include "openvino/pass/pattern/op/wrap_type.hpp"
#include "template_model_transformation.hpp"
// ! [graph_rewrite:template_transformation_cpp]
// template_pattern_transformation.cpp
ov::pass::DecomposeDivideMatcher::DecomposeDivideMatcher() {
MATCHER_SCOPE(DecomposeDivideMatcher);
// Pattern example
auto input0 = pattern::any_input();
auto input1 = pattern::any_input();
auto div = std::make_shared<ov::opset3::Divide>(input0, input1);
ov::matcher_pass_callback callback = [](pattern::Matcher& m) {
auto div = std::dynamic_pointer_cast<ov::opset3::Divide>(m.get_match_root());
// We can not apply this transformation in case with integer input data type
if (!div || div->input(0).get_element_type().is_integral()) {
return false;
}
// Decompose Divide into Multiply with Power operations
auto pow = std::make_shared<ov::opset3::Power>(
div->input_value(1),
opset3::Constant::create(div->get_input_element_type(1), Shape{1}, {-1}));
auto mul = std::make_shared<ov::opset3::Multiply>(div->input_value(0), pow);
// Save original name to last operation in replacement sub-graph
mul->set_friendly_name(div->get_friendly_name());
// Copy runtime info attributes to newly created operation
ov::copy_runtime_info(div, {pow, mul});
// Replace Divide operation with Multiply
ov::replace_node(div, mul);
// 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<ov::pass::pattern::Matcher>(div, "ConvertDivide");
// Register Matcher
register_matcher(m, callback);
}
// ! [graph_rewrite:template_transformation_cpp]
// ! [matcher_pass:relu_fusion]
ov::pass::ReluReluFusionMatcher::ReluReluFusionMatcher() {
MATCHER_SCOPE(ReluReluFusionMatcher);
auto m_relu1 = ov::pass::pattern::wrap_type<ov::opset3::Relu>(pattern::consumers_count(1));
auto m_relu2 = ov::pass::pattern::wrap_type<ov::opset3::Relu>({m_relu1});
ov::matcher_pass_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<ov::opset3::Relu>(node_to_output.at(m_relu1).get_node_shared_ptr()->input_value(0));
// Copy runtime info attributes to newly created operation
ov::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
ov::replace_node(m.get_match_root(), new_relu);
// Return true as the root node was changed
return true;
};
// Register pattern with Relu operation as a pattern root node
auto m = std::make_shared<ov::pass::pattern::Matcher>(m_relu2, "ReluReluFusion");
// Register Matcher
register_matcher(m, callback);
}
// ! [matcher_pass:relu_fusion]
void run_matcher_on_node(std::shared_ptr<ov::Node> node) {
// ! [matcher_pass:run_on_node]
if (ov::pass::DecomposeDivideMatcher().apply(node)) {
// successful execution (root node was replaced)
}
// ! [matcher_pass:run_on_node]
}
void run_matcher_with_manager(std::shared_ptr<ov::Model> f) {
// ! [matcher_pass:manager]
// Two matchers will run independently (two independent graph traversals)
// pass::Manager automatically creates GraphRewrite container for each MatcherPass
ov::pass::Manager manager;
manager.register_pass<ov::pass::DecomposeDivideMatcher>();
manager.register_pass<ov::pass::ReluReluFusionMatcher>();
manager.run_passes(f);
// ! [matcher_pass:manager]
}
void run_matcher_with_manager2(std::shared_ptr<ov::Model> f) {
// ! [matcher_pass:manager2]
// Register anchor GraphRewrite pass inside manager that will execute two matchers simultaneously
ov::pass::Manager manager;
auto anchor = manager.register_pass<ov::pass::GraphRewrite>();
using namespace ov::pass;
ADD_MATCHER(anchor, DecomposeDivideMatcher)
ADD_MATCHER(anchor, ReluReluFusionMatcher)
manager.run_passes(f);
// ! [matcher_pass:manager2]
}
void run_matcher_with_manager3(std::shared_ptr<ov::Model> f) {
// ! [matcher_pass:manager3]
ov::pass::Manager manager;
manager.register_pass<ov::pass::MyModelTransformation>();
// Two matchers will run independently (two independent graph traversals)
// pass::Manager automatically creates GraphRewrite container for each MatcherPass
manager.register_pass<ov::pass::DecomposeDivideMatcher>();
manager.register_pass<ov::pass::ReluReluFusionMatcher>();
manager.run_passes(f);
// ! [matcher_pass:manager3]
}
void run_matcher_with_gr(std::shared_ptr<ov::Model> f) {
// ! [matcher_pass:graph_rewrite]
// Two matcher passes will run simultaneously in a single graph traversal
ov::pass::GraphRewrite pass;
pass.add_matcher<ov::pass::DecomposeDivideMatcher>();
pass.add_matcher<ov::pass::ReluReluFusionMatcher>();
pass.run_on_model(f);
// ! [matcher_pass:graph_rewrite]
}
// ! [manual_constant_folding]
template <class T>
ov::Output<ov::Node> eltwise_fold(const ov::Output<ov::Node>& input0, const ov::Output<ov::Node>& input1) {
auto eltwise = std::make_shared<T>(input0, input1);
ov::OutputVector output(eltwise->get_output_size());
// If constant folding wasn't successful return eltwise output
if (!eltwise->constant_fold(output, {input0, input1})) {
return eltwise->output(0);
}
return output[0];
}
// ! [manual_constant_folding]