78 lines
2.5 KiB
C++
78 lines
2.5 KiB
C++
/*
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// Copyright (c) 2017 Intel Corporation
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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*/
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#include <../api/CPP/cldnn_defs.h>
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#include <../api/CPP/engine.hpp>
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#include <../api/CPP/input_layout.hpp>
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#include <../api/CPP/memory.hpp>
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#include <../api/CPP/data.hpp>
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#include <../api/CPP/topology.hpp>
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#include <../api/CPP/network.hpp>
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#include <iostream>
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#include "helper_functions.h"
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/*! @page c4 Hidden layers.
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* @section intro Introduction
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* In this chapter we show, how to get access to hidden layers using build options
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*
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*
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* @include chapter_4.cpp
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*
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*
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*/
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using namespace cldnn;
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void chapter_4(engine& engine, topology& topology)
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{
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std::cout << std::endl << "-- Chapter 4 --" << std::endl;
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// To get access to intermediate results of our network. To get special features we need to set custom building options:
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build_options build_opt;
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// Prepare vector of primitives that we want to have as an output:
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std::vector<cldnn::primitive_id> outputs_list(0);
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// Put every primitive from topology into this container:
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for (auto prim_id : topology.get_primitive_ids())
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outputs_list.push_back(prim_id);
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// Note: output from get_primitive_ids() can be used directly as a parameter in building option.
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// Set option.
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build_opt.set_option(build_option::outputs(outputs_list));
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// Add build options to network build.
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network network(engine, topology, build_opt);
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// We are almost ready to go. Need to create and set input for network:
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memory input_prim = memory::allocate(engine, { data_types::f32, format::bfyx,{ 1, 1, 3, 1 } });
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set_values(input_prim, { -3.0f, -2.0f, 2.5f });
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// Set input.
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network.set_input_data("input", input_prim);
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// Ready to go:
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auto outputs = network.execute();
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for (auto& it : outputs)
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{
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// Print id and output values.
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std::cout << it.first << std::endl;
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auto mem_pointer = it.second.get_memory().pointer<float>();
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for (auto i : mem_pointer)
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{
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std::cout << i << " ";
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}
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std::cout << std::endl;
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}
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}
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