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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <DelegateOptions.hpp>
#include <armnn/utility/NumericCast.hpp>
#include <armnn/utility/StringUtils.hpp>
namespace armnnDelegate
{
DelegateOptions::DelegateOptions(armnn::Compute computeDevice,
const std::vector<armnn::BackendOptions>& backendOptions,
const armnn::Optional<armnn::LogSeverity> logSeverityLevel)
: m_Backends({computeDevice}), m_RuntimeOptions(), m_LoggingSeverity(logSeverityLevel)
{
m_RuntimeOptions.m_BackendOptions = backendOptions;
}
DelegateOptions::DelegateOptions(const std::vector<armnn::BackendId>& backends,
const std::vector<armnn::BackendOptions>& backendOptions,
const armnn::Optional<armnn::LogSeverity> logSeverityLevel)
: m_Backends(backends), m_RuntimeOptions(), m_LoggingSeverity(logSeverityLevel)
{
m_RuntimeOptions.m_BackendOptions = backendOptions;
}
DelegateOptions::DelegateOptions(armnn::Compute computeDevice,
const armnn::OptimizerOptions& optimizerOptions,
const armnn::Optional<armnn::LogSeverity>& logSeverityLevel,
const armnn::Optional<armnn::DebugCallbackFunction>& func)
: m_Backends({computeDevice}),
m_RuntimeOptions(),
m_OptimizerOptions(optimizerOptions),
m_LoggingSeverity(logSeverityLevel),
m_DebugCallbackFunc(func)
{
}
DelegateOptions::DelegateOptions(const std::vector<armnn::BackendId>& backends,
const armnn::OptimizerOptions& optimizerOptions,
const armnn::Optional<armnn::LogSeverity>& logSeverityLevel,
const armnn::Optional<armnn::DebugCallbackFunction>& func)
: m_Backends(backends),
m_RuntimeOptions(),
m_OptimizerOptions(optimizerOptions),
m_LoggingSeverity(logSeverityLevel),
m_DebugCallbackFunc(func)
{
}
DelegateOptions::DelegateOptions(char const* const* options_keys,
char const* const* options_values,
size_t num_options,
void (*report_error)(const char*))
{
armnn::IRuntime::CreationOptions runtimeOptions;
armnn::OptimizerOptions optimizerOptions;
bool internalProfilingState = false;
armnn::ProfilingDetailsMethod internalProfilingDetail = armnn::ProfilingDetailsMethod::DetailsWithEvents;
arm::pipe::ProfilingOptions extProfilingParams;
for (size_t i = 0; i < num_options; ++i)
{
// Process backends
if (std::string(options_keys[i]) == std::string("backends"))
{
// The backend option is a comma separated string of backendIDs that needs to be split
std::vector<armnn::BackendId> backends;
char* dup = strdup(options_values[i]);
char* pch = std::strtok(dup, ",");
while (pch != NULL)
{
backends.push_back(pch);
pch = strtok (NULL, ",");
}
this->SetBackends(backends);
}
// Process dynamic-backends-path
else if (std::string(options_keys[i]) == std::string("dynamic-backends-path"))
{
runtimeOptions.m_DynamicBackendsPath = std::string(options_values[i]);
}
// Process logging level
else if (std::string(options_keys[i]) == std::string("logging-severity"))
{
this->SetLoggingSeverity(options_values[i]);
}
// Process GPU backend options
else if (std::string(options_keys[i]) == std::string("gpu-tuning-level"))
{
armnn::BackendOptions option("GpuAcc", {{"TuningLevel", atoi(options_values[i])}});
runtimeOptions.m_BackendOptions.push_back(option);
}
else if (std::string(options_keys[i]) == std::string("gpu-mlgo-tuning-file"))
{
armnn::BackendOptions option("GpuAcc", {{"MLGOTuningFilePath", std::string(options_values[i])}});
optimizerOptions.m_ModelOptions.push_back(option);
}
else if (std::string(options_keys[i]) == std::string("gpu-tuning-file"))
{
armnn::BackendOptions option("GpuAcc", {{"TuningFile", std::string(options_values[i])}});
runtimeOptions.m_BackendOptions.push_back(option);
}
else if (std::string(options_keys[i]) == std::string("gpu-enable-profiling"))
{
runtimeOptions.m_EnableGpuProfiling = (*options_values[i] != '0');
}
else if (std::string(options_keys[i]) == std::string("gpu-kernel-profiling-enabled"))
{
armnn::BackendOptions option("GpuAcc", {{"KernelProfilingEnabled",
armnn::stringUtils::StringToBool(options_values[i])}});
runtimeOptions.m_BackendOptions.push_back(option);
}
else if (std::string(options_keys[i]) == std::string("save-cached-network"))
{
armnn::BackendOptions option("GpuAcc", {{"SaveCachedNetwork",
armnn::stringUtils::StringToBool(options_values[i])}});
optimizerOptions.m_ModelOptions.push_back(option);
}
else if (std::string(options_keys[i]) == std::string("cached-network-filepath"))
{
armnn::BackendOptions option("GpuAcc", {{"CachedNetworkFilePath", std::string(options_values[i])}});
optimizerOptions.m_ModelOptions.push_back(option);
}
// Process GPU & CPU backend options
else if (std::string(options_keys[i]) == std::string("enable-fast-math"))
{
armnn::BackendOptions modelOptionGpu("GpuAcc", {{"FastMathEnabled",
armnn::stringUtils::StringToBool(options_values[i])}});
optimizerOptions.m_ModelOptions.push_back(modelOptionGpu);
armnn::BackendOptions modelOptionCpu("CpuAcc", {{"FastMathEnabled",
armnn::stringUtils::StringToBool(options_values[i])}});
optimizerOptions.m_ModelOptions.push_back(modelOptionCpu);
}
// Process CPU backend options
else if (std::string(options_keys[i]) == std::string("number-of-threads"))
{
unsigned int numberOfThreads = armnn::numeric_cast<unsigned int>(atoi(options_values[i]));
armnn::BackendOptions modelOption("CpuAcc", {{"NumberOfThreads", numberOfThreads}});
optimizerOptions.m_ModelOptions.push_back(modelOption);
}
// Process reduce-fp32-to-fp16 option
else if (std::string(options_keys[i]) == std::string("reduce-fp32-to-fp16"))
{
optimizerOptions.m_ReduceFp32ToFp16 = armnn::stringUtils::StringToBool(options_values[i]);
}
// Process reduce-fp32-to-bf16 option
else if (std::string(options_keys[i]) == std::string("reduce-fp32-to-bf16"))
{
optimizerOptions.m_ReduceFp32ToBf16 = armnn::stringUtils::StringToBool(options_values[i]);
}
// Process debug-data
else if (std::string(options_keys[i]) == std::string("debug-data"))
{
optimizerOptions.m_Debug = armnn::stringUtils::StringToBool(options_values[i]);
}
// Infer output-shape
else if (std::string(options_keys[i]) == std::string("infer-output-shape"))
{
armnn::BackendOptions backendOption("ShapeInferenceMethod",
{
{ "InferAndValidate", armnn::stringUtils::StringToBool(options_values[i]) }
});
optimizerOptions.m_ModelOptions.push_back(backendOption);
}
// Allow expanded dims
else if (std::string(options_keys[i]) == std::string("allow-expanded-dims"))
{
armnn::BackendOptions backendOption("AllowExpandedDims",
{
{ "AllowExpandedDims", armnn::stringUtils::StringToBool(options_values[i]) }
});
optimizerOptions.m_ModelOptions.push_back(backendOption);
}
// Process memory-import
else if (std::string(options_keys[i]) == std::string("memory-import"))
{
optimizerOptions.m_ImportEnabled = armnn::stringUtils::StringToBool(options_values[i]);
}
// Process enable-internal-profiling
else if (std::string(options_keys[i]) == std::string("enable-internal-profiling"))
{
internalProfilingState = *options_values[i] != '0';
optimizerOptions.m_ProfilingEnabled = internalProfilingState;
}
// Process internal-profiling-detail
else if (std::string(options_keys[i]) == std::string("internal-profiling-detail"))
{
uint32_t detailLevel = static_cast<uint32_t>(std::stoul(options_values[i]));
switch (detailLevel)
{
case 1:
internalProfilingDetail = armnn::ProfilingDetailsMethod::DetailsWithEvents;
break;
case 2:
internalProfilingDetail = armnn::ProfilingDetailsMethod::DetailsOnly;
break;
default:
internalProfilingDetail = armnn::ProfilingDetailsMethod::Undefined;
break;
}
}
// Process enable-external-profiling
else if (std::string(options_keys[i]) == std::string("enable-external-profiling"))
{
extProfilingParams.m_EnableProfiling = armnn::stringUtils::StringToBool(options_values[i]);
}
// Process timeline-profiling
else if (std::string(options_keys[i]) == std::string("timeline-profiling"))
{
extProfilingParams.m_TimelineEnabled = armnn::stringUtils::StringToBool(options_values[i]);
}
// Process outgoing-capture-file
else if (std::string(options_keys[i]) == std::string("outgoing-capture-file"))
{
extProfilingParams.m_OutgoingCaptureFile = options_values[i];
}
// Process incoming-capture-file
else if (std::string(options_keys[i]) == std::string("incoming-capture-file"))
{
extProfilingParams.m_IncomingCaptureFile = options_values[i];
}
// Process file-only-external-profiling
else if (std::string(options_keys[i]) == std::string("file-only-external-profiling"))
{
extProfilingParams.m_FileOnly = armnn::stringUtils::StringToBool(options_values[i]);
}
// Process counter-capture-period
else if (std::string(options_keys[i]) == std::string("counter-capture-period"))
{
extProfilingParams.m_CapturePeriod = static_cast<uint32_t>(std::stoul(options_values[i]));
}
// Process profiling-file-format
else if (std::string(options_keys[i]) == std::string("profiling-file-format"))
{
extProfilingParams.m_FileFormat = options_values[i];
}
// Process serialize-to-dot
else if (std::string(options_keys[i]) == std::string("serialize-to-dot"))
{
this->SetSerializeToDot(options_values[i]);
}
else
{
throw armnn::Exception("Unknown option for the ArmNN Delegate given: " + std::string(options_keys[i]));
}
}
this->SetRuntimeOptions(runtimeOptions);
this->SetOptimizerOptions(optimizerOptions);
this->SetInternalProfilingParams(internalProfilingState, internalProfilingDetail);
this->SetExternalProfilingParams(extProfilingParams);
}
} // namespace armnnDelegate
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