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