openvino/src/plugins/hetero/infer_request.cpp

// Copyright (C) 2018-2022 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//

#include "infer_request.hpp"

#include <ie_blob.h>
#include <ie_layouts.h>

#include <cassert>
#include <description_buffer.hpp>
#include <ie_algorithm.hpp>
#include <map>
#include <string>

#include "itt.hpp"

using namespace HeteroPlugin;
using namespace InferenceEngine;
using namespace InferenceEngine::details;

HeteroInferRequest::HeteroInferRequest(
    const std::vector<std::shared_ptr<const ov::Node>>& inputs,
    const std::vector<std::shared_ptr<const ov::Node>>& outputs,
    const SubRequestsList& inferRequests,
    const std::unordered_map<std::string, std::string>& subgraphInputToOutputBlobNames)
    : IInferRequestInternal(inputs, outputs),
      _inferRequests(inferRequests) {
    CreateInferRequest(subgraphInputToOutputBlobNames);
}

HeteroInferRequest::HeteroInferRequest(
    InferenceEngine::InputsDataMap networkInputs,
    InferenceEngine::OutputsDataMap networkOutputs,
    const SubRequestsList& inferRequests,
    const std::unordered_map<std::string, std::string>& subgraphInputToOutputBlobNames)
    : IInferRequestInternal(networkInputs, networkOutputs),
      _inferRequests(inferRequests) {
    CreateInferRequest(subgraphInputToOutputBlobNames);
}

void HeteroInferRequest::CreateInferRequest(
    const std::unordered_map<std::string, std::string>& subgraphInputToOutputBlobNames) {
    if (_networkOutputs.empty() || _networkInputs.empty()) {
        IE_THROW() << "Internal error: no information about network's output/input";
    }

    auto requestBlob([&](const std::string& blobName, InferenceEngine::SoIInferRequestInternal& r, bool output) {
        std::string intermediateBlobName = blobName;
        auto itName = subgraphInputToOutputBlobNames.find(blobName);
        if (itName != subgraphInputToOutputBlobNames.end()) {
            intermediateBlobName = itName->second;
        }
        if (output) {
            if (InferenceEngine::details::contains(_networkOutputs, blobName)) {
                _subRequestFromBlobName.emplace(blobName, r);
            } else {
                auto blob = r->GetBlob(blobName);
                _blobs.emplace(intermediateBlobName, r->GetBlob(blobName));
            }
        } else {
            if (InferenceEngine::details::contains(_networkInputs, blobName)) {
                _subRequestFromBlobName.emplace(blobName, r);
            } else {
                r->SetBlob(blobName, _blobs.at(intermediateBlobName));
            }
        }
    });

    // go over all subnet and create requests
    for (auto&& desc : _inferRequests) {
        desc._request = {desc._network->CreateInferRequest(), desc._network._so};
        desc._request->setModelInputsOutputs(desc._network->getInputs(), desc._network->getOutputs());
        // go over all inputs and get blobs from subnet infer requests
        for (auto&& outputInfo : desc._network->GetOutputsInfo()) {
            requestBlob(outputInfo.first, desc._request, true);
        }
    }

    // go over all outputs and get blobs from subnet infer requests
    for (auto&& desc : _inferRequests) {
        for (auto&& inputInfo : desc._network->GetInputsInfo()) {
            requestBlob(inputInfo.first, desc._request, false);
        }
    }
}

void HeteroInferRequest::SetBlob(const std::string& name, const InferenceEngine::Blob::Ptr& blob) {
    auto itRequest = _subRequestFromBlobName.find(name);
    if (itRequest == _subRequestFromBlobName.end()) {
        IE_THROW() << "There is no infer requests binded to blob with name: " << name;
    }
    itRequest->second->SetBlob(name, blob);
}

InferenceEngine::Blob::Ptr HeteroInferRequest::GetBlob(const std::string& name) {
    auto itRequest = _subRequestFromBlobName.find(name);
    if (itRequest == _subRequestFromBlobName.end()) {
        IE_THROW() << "There is no infer requests binded to blob with name: " << name;
    }
    setPointerToSo(itRequest->second._so);
    return itRequest->second->GetBlob(name);
}

void HeteroInferRequest::SetBlob(const std::string& name, const Blob::Ptr& blob, const PreProcessInfo& info) {
    auto itRequest = _subRequestFromBlobName.find(name);
    if (itRequest == _subRequestFromBlobName.end()) {
        IE_THROW() << "There is no infer requests binded to blob with name: " << name;
    }
    itRequest->second->SetBlob(name, blob, info);
}

const InferenceEngine::PreProcessInfo& HeteroInferRequest::GetPreProcess(const std::string& name) const {
    auto itRequest = _subRequestFromBlobName.find(name);
    if (itRequest == _subRequestFromBlobName.end()) {
        IE_THROW() << "There is no infer requests binded to blob with name: " << name;
    }
    return itRequest->second->GetPreProcess(name);
}

void HeteroInferRequest::InferImpl() {
    for (auto&& desc : _inferRequests) {
        OV_ITT_SCOPED_TASK(itt::domains::HeteroPlugin, desc._profilingTask);
        auto& r = desc._request;
        assert(r);
        r->Infer();
    }
}

std::vector<std::shared_ptr<InferenceEngine::IVariableStateInternal>> HeteroInferRequest::QueryState() {
    memoryStates = {};
    for (auto&& desc : _inferRequests) {
        auto& r = desc._request;
        assert(r);
        for (auto&& state : r->QueryState()) {
            memoryStates.emplace_back(state);
        }
    }
    return memoryStates;
}

std::map<std::string, InferenceEngineProfileInfo> HeteroInferRequest::GetPerformanceCounts() const {
    std::map<std::string, InferenceEngineProfileInfo> perfMap;
    for (size_t i = 0; i < _inferRequests.size(); i++) {
        auto perfMapRequest = _inferRequests[i]._request->GetPerformanceCounts();
        for (auto&& r : perfMapRequest) {
            perfMap[std::string("subgraph") + std::to_string(i) + ": " + r.first] = r.second;
        }
    }
    return perfMap;
}