77345a7383
* Updated Inference Engine Plugin developer guide after inference using ngraph reference backend is added * Documentation fixes * Fixed review comments
38 lines
1.4 KiB
C++
38 lines
1.4 KiB
C++
// Copyright (C) 2020 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#include "template_function_transformation.hpp"
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using namespace ngraph;
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// ! [function_pass:template_transformation_cpp]
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// template_function_transformation.cpp
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bool pass::MyFunctionTransformation::run_on_function(std::shared_ptr<ngraph::Function> f) {
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// Example transformation code
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std::vector<std::shared_ptr<Node> > nodes;
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// Traverse nGraph Function in topological order
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for (auto & node : f->get_ordered_ops()) {
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// Check that number of input and output ports are equal to 1
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if (node->inputs().size() == 1 && node->outputs().size() == 1) {
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// Check that input and output shape a fully defined (not dynamic) and number of consumers equal to 1
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Input<Node> input = node->input(0);
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Output<Node> output = node->output(0);
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if (input.get_partial_shape().is_static() && output.get_partial_shape().is_static() && output.get_target_inputs().size() == 1) {
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nodes.push_back(node);
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}
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}
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}
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// Print types and names for collected nodes
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for (auto & node : nodes) {
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std::cout << "Type: " << node->get_type_info().name << std::endl
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<< "Name: " << node->get_friendly_name() << std::endl;
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}
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// Return false because we didn't change nGraph Function
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return false;
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}
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// ! [function_pass:template_transformation_cpp]
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