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auto_executable_network.cpp
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// Copyright (C) 2018-2022 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
///////////////////////////////////////////////////////////////////////////////////////////////////
#include "ie_performance_hints.hpp"
#include "auto_executable_network.hpp"
// ------------------------------AutoExecutableNetwork----------------------------
//
namespace MultiDevicePlugin {
AutoExecutableNetwork::AutoExecutableNetwork(AutoScheduleContext::Ptr& context, const AutoSchedule::Ptr& schedule)
:ExecutableNetwork(schedule, context),
_autoSContext(context),
_autoSchedule(schedule) {
}
std::shared_ptr<IE::RemoteContext> AutoExecutableNetwork::GetContext() const {
_autoSchedule->WaitActualNetworkReady();
return _autoSchedule->_loadContext[ACTUALDEVICE].executableNetwork->GetContext();
}
void AutoExecutableNetwork::SetConfig(const std::map<std::string, IE::Parameter>
& config) {
IE_THROW(NotImplemented);
}
IE::Parameter AutoExecutableNetwork::GetConfig(const std::string& name) const {
{
std::lock_guard<std::mutex> lock(_autoSContext->_confMutex);
auto it = _autoSContext->_config.find(name);
if (it != _autoSContext->_config.end()) {
return it->second;
}
}
IE_THROW(NotFound) << name << " not found in the ExecutableNetwork config";
}
IE::Parameter AutoExecutableNetwork::GetMetric(const std::string& name) const {
if (name == ov::supported_properties) {
return decltype(ov::supported_properties)::value_type {
// Metrics
ov::PropertyName{ov::supported_properties.name(), ov::PropertyMutability::RO},
ov::PropertyName{ov::hint::performance_mode.name(), ov::PropertyMutability::RO},
ov::PropertyName{ov::model_name.name(), ov::PropertyMutability::RO},
ov::PropertyName{ov::optimal_number_of_infer_requests.name(), ov::PropertyMutability::RO},
ov::PropertyName{ov::hint::model_priority.name(), ov::PropertyMutability::RO},
ov::PropertyName{ov::device::priorities.name(), ov::PropertyMutability::RO},
ov::PropertyName{ov::execution_devices.name(), ov::PropertyMutability::RO}};
} else if (name == ov::hint::performance_mode) {
auto value = _autoSContext->_performanceHint;
if (!_autoSContext->_core->isNewAPI())
return value;
if (value == InferenceEngine::PluginConfigParams::THROUGHPUT)
return ov::hint::PerformanceMode::THROUGHPUT;
else if (value == InferenceEngine::PluginConfigParams::LATENCY)
return ov::hint::PerformanceMode::LATENCY;
else if (value == InferenceEngine::PluginConfigParams::CUMULATIVE_THROUGHPUT)
return ov::hint::PerformanceMode::CUMULATIVE_THROUGHPUT;
else
return ov::hint::PerformanceMode::UNDEFINED;
} else if (name == ov::device::priorities) {
auto value = _autoSContext->_config.find(ov::device::priorities.name());
return decltype(ov::device::priorities)::value_type {value->second.as<std::string>()};
} else if (name == ov::hint::model_priority) {
auto value = _autoSContext->_modelPriority;
if (_autoSContext->_core->isNewAPI()) {
return value ? ((value > 1) ? ov::hint::Priority::LOW :
ov::hint::Priority::MEDIUM) : ov::hint::Priority::HIGH;
} else {
return value ? ((value > 1) ? CONFIG_VALUE(MODEL_PRIORITY_LOW) : CONFIG_VALUE(
MODEL_PRIORITY_MED)) : CONFIG_VALUE(MODEL_PRIORITY_HIGH);
}
} else if (name == ov::optimal_number_of_infer_requests) {
const unsigned int defaultNumForTPUT = 4u;
const unsigned int defaultNumForLatency = 1u;
unsigned int real = 0;
if (_autoSchedule->_loadContext[ACTUALDEVICE].isAlready) {
real = _autoSchedule->_loadContext[ACTUALDEVICE].
executableNetwork->GetMetric(name).as<unsigned int>();
} else {
IE_ASSERT(_autoSchedule->_loadContext[CPU].isAlready == true);
std::unique_lock<std::mutex> lock(_autoSContext->_confMutex);
auto deviceInfo = _autoSchedule->_loadContext[ACTUALDEVICE].deviceInfo;
lock.unlock();
unsigned int optimalBatchSize = 0;
unsigned int requests = 0;
bool bThroughputEnabledInPlugin = false;
try {
// for benchmark through AUTO:CPU,GPU
// SetConfig directly set to CPU/GPU in this case
bThroughputEnabledInPlugin =
_autoSContext->_core->GetConfig(deviceInfo.deviceName,
CONFIG_KEY(PERFORMANCE_HINT)).as<std::string>() == CONFIG_VALUE(THROUGHPUT);
} catch (...) {
LOG_DEBUG_TAG("GetMetric:%s for %s", "PERF_HINT config not supported",
deviceInfo.deviceName.c_str());
}
const auto& mode = deviceInfo.config.find(CONFIG_KEY(PERFORMANCE_HINT));
if (bThroughputEnabledInPlugin ||
(mode != deviceInfo.config.end() && mode->second == CONFIG_VALUE(THROUGHPUT))) {
unsigned int upperBoundStreamsNum = 0;
std::map<std::string, IE::Parameter> options;
options["MODEL_PTR"] = std::const_pointer_cast<ngraph::Function>
(_autoSContext->_network.getFunction());
try {
auto rangeOfStreams = _autoSContext->_core->GetMetric(deviceInfo.deviceName,
METRIC_KEY(RANGE_FOR_STREAMS),
options).as<std::tuple<unsigned int, unsigned int>>();
upperBoundStreamsNum = std::get<1>(rangeOfStreams);
} catch (const IE::Exception&) {
LOG_DEBUG_TAG("GetMetric RANGE_FOR_STREAMS failed");
}
if (!_autoSContext->_batchingDisabled) {
try {
optimalBatchSize = _autoSContext->_core->GetMetric(deviceInfo.deviceName,
METRIC_KEY(OPTIMAL_BATCH_SIZE), options).as<unsigned int>();
LOG_DEBUG_TAG("BATCHING:%s:%ld", "optimal batch size",
optimalBatchSize);
} catch (...) {
LOG_DEBUG_TAG("BATCHING:%s", "metric OPTIMAL_BATCH_SIZE not supported");
}
}
if (optimalBatchSize > 1) {
// batching is supported with the device
// go with auto-batching
try {
// check if app have set preferred value
auto res =
_autoSContext->_core->GetConfig(deviceInfo.deviceName,
CONFIG_KEY(PERFORMANCE_HINT_NUM_REQUESTS)).as<std::string>();
requests = IE::PerfHintsConfig::CheckPerformanceHintRequestValue(res);
const auto& reqs = deviceInfo.config.find(CONFIG_KEY(
PERFORMANCE_HINT_NUM_REQUESTS));
if (reqs != deviceInfo.config.end()) {
requests = static_cast<unsigned int>
(IE::PerfHintsConfig::CheckPerformanceHintRequestValue(reqs->second));
}
LOG_DEBUG_TAG("BATCHING:%s:%ld", "user requested size", requests);
if (!requests) { // no limitations from user
requests = optimalBatchSize * upperBoundStreamsNum * 2;
LOG_DEBUG_TAG("BATCHING:%s:%ld", "deduced size:", requests);
}
} catch (const IE::Exception& iie) {
LOG_WARNING_TAG("deduce optimal infer requset num for auto-batch failed :%s",
iie.what());
}
real = (std::max)(requests, optimalBatchSize);
} else if (deviceInfo.deviceName.find("VPUX") != std::string::npos) {
real = 8u;
} else {
real = upperBoundStreamsNum ? 2 * upperBoundStreamsNum : defaultNumForTPUT;
}
} else {
real = defaultNumForLatency;
}
}
return decltype(ov::optimal_number_of_infer_requests)::value_type {real};
} else if (name == ov::execution_devices) {
std::lock_guard<std::mutex> lock(_autoSContext->_confMutex);
std::vector<std::string> exeDevices = {};
for (int i = 0; i < CONTEXTNUM; i++) {
if (_autoSchedule->_loadContext[i].isEnabled && _autoSchedule->_loadContext[i].isAlready) {
if (i == 0 && !_autoSchedule->_loadContext[CPU].executableNetwork._ptr) {
continue;
} else {
exeDevices.push_back(_autoSchedule->_loadContext[i].workName.substr(_autoSchedule->_loadContext[i].workName.find(":") + 1));
break;
}
}
}
return decltype(ov::available_devices)::value_type {exeDevices};
}
if (_autoSchedule->_loadContext[ACTUALDEVICE].isAlready) {
return _autoSchedule->_loadContext[ACTUALDEVICE].executableNetwork->GetMetric(
name);
}
return _autoSchedule->_loadContext[CPU].executableNetwork->GetMetric(name);
}
} // namespace MultiDevicePlugin