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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "InferenceTest.hpp"
#include "DeepSpeechV1Database.hpp"
#include <armnn/utility/Assert.hpp>
#include <armnn/utility/IgnoreUnused.hpp>
#include <armnnUtils/FloatingPointComparison.hpp>
#include <vector>
namespace
{
template<typename Model>
class DeepSpeechV1TestCase : public InferenceModelTestCase<Model>
{
public:
DeepSpeechV1TestCase(Model& model,
unsigned int testCaseId,
const DeepSpeechV1TestCaseData& testCaseData)
: InferenceModelTestCase<Model>(model,
testCaseId,
{ testCaseData.m_InputData.m_InputSeq,
testCaseData.m_InputData.m_StateH,
testCaseData.m_InputData.m_StateC},
{ k_OutputSize1, k_OutputSize2, k_OutputSize3 })
, m_ExpectedOutputs({testCaseData.m_ExpectedOutputData.m_InputSeq, testCaseData.m_ExpectedOutputData.m_StateH,
testCaseData.m_ExpectedOutputData.m_StateC})
{}
TestCaseResult ProcessResult(const InferenceTestOptions& options) override
{
armnn::IgnoreUnused(options);
const std::vector<float>& output1 = mapbox::util::get<std::vector<float>>(this->GetOutputs()[0]); // logits
ARMNN_ASSERT(output1.size() == k_OutputSize1);
const std::vector<float>& output2 = mapbox::util::get<std::vector<float>>(this->GetOutputs()[1]); // new_state_c
ARMNN_ASSERT(output2.size() == k_OutputSize2);
const std::vector<float>& output3 = mapbox::util::get<std::vector<float>>(this->GetOutputs()[2]); // new_state_h
ARMNN_ASSERT(output3.size() == k_OutputSize3);
// Check each output to see whether it is the expected value
for (unsigned int j = 0u; j < output1.size(); j++)
{
if(!armnnUtils::within_percentage_tolerance(output1[j], m_ExpectedOutputs.m_InputSeq[j]))
{
ARMNN_LOG(error) << "InputSeq for Lstm " << this->GetTestCaseId() <<
" is incorrect at" << j;
return TestCaseResult::Failed;
}
}
for (unsigned int j = 0u; j < output2.size(); j++)
{
if(!armnnUtils::within_percentage_tolerance(output2[j], m_ExpectedOutputs.m_StateH[j]))
{
ARMNN_LOG(error) << "StateH for Lstm " << this->GetTestCaseId() <<
" is incorrect";
return TestCaseResult::Failed;
}
}
for (unsigned int j = 0u; j < output3.size(); j++)
{
if(!armnnUtils::within_percentage_tolerance(output3[j], m_ExpectedOutputs.m_StateC[j]))
{
ARMNN_LOG(error) << "StateC for Lstm " << this->GetTestCaseId() <<
" is incorrect";
return TestCaseResult::Failed;
}
}
return TestCaseResult::Ok;
}
private:
static constexpr unsigned int k_OutputSize1 = 464u;
static constexpr unsigned int k_OutputSize2 = 2048u;
static constexpr unsigned int k_OutputSize3 = 2048u;
LstmInput m_ExpectedOutputs;
};
template <typename Model>
class DeepSpeechV1TestCaseProvider : public IInferenceTestCaseProvider
{
public:
template <typename TConstructModelCallable>
explicit DeepSpeechV1TestCaseProvider(TConstructModelCallable constructModel)
: m_ConstructModel(constructModel)
{}
virtual void AddCommandLineOptions(cxxopts::Options& options, std::vector<std::string>& required) override
{
options
.allow_unrecognised_options()
.add_options()
("s,input-seq-dir", "Path to directory containing test data for m_InputSeq",
cxxopts::value<std::string>(m_InputSeqDir))
("h,prev-state-h-dir", "Path to directory containing test data for m_PrevStateH",
cxxopts::value<std::string>(m_PrevStateHDir))
("c,prev-state-c-dir", "Path to directory containing test data for m_PrevStateC",
cxxopts::value<std::string>(m_PrevStateCDir))
("l,logits-dir", "Path to directory containing test data for m_Logits",
cxxopts::value<std::string>(m_LogitsDir))
("H,new-state-h-dir", "Path to directory containing test data for m_NewStateH",
cxxopts::value<std::string>(m_NewStateHDir))
("C,new-state-c-dir", "Path to directory containing test data for m_NewStateC",
cxxopts::value<std::string>(m_NewStateCDir));
required.insert(required.end(), {"input-seq-dir", "prev-state-h-dir", "prev-state-c-dir", "logits-dir",
"new-state-h-dir", "new-state-c-dir"});
Model::AddCommandLineOptions(options, m_ModelCommandLineOptions, required);
}
virtual bool ProcessCommandLineOptions(const InferenceTestOptions &commonOptions) override
{
if (!ValidateDirectory(m_InputSeqDir))
{
return false;
}
if (!ValidateDirectory(m_PrevStateCDir))
{
return false;
}
if (!ValidateDirectory(m_PrevStateHDir))
{
return false;
}
if (!ValidateDirectory(m_LogitsDir))
{
return false;
}
if (!ValidateDirectory(m_NewStateCDir))
{
return false;
}
if (!ValidateDirectory(m_NewStateHDir))
{
return false;
}
m_Model = m_ConstructModel(commonOptions, m_ModelCommandLineOptions);
if (!m_Model)
{
return false;
}
m_Database = std::make_unique<DeepSpeechV1Database>(m_InputSeqDir.c_str(), m_PrevStateHDir.c_str(),
m_PrevStateCDir.c_str(), m_LogitsDir.c_str(),
m_NewStateHDir.c_str(), m_NewStateCDir.c_str());
if (!m_Database)
{
return false;
}
return true;
}
std::unique_ptr<IInferenceTestCase> GetTestCase(unsigned int testCaseId) override
{
std::unique_ptr<DeepSpeechV1TestCaseData> testCaseData = m_Database->GetTestCaseData(testCaseId);
if (!testCaseData)
{
return nullptr;
}
return std::make_unique<DeepSpeechV1TestCase<Model>>(*m_Model, testCaseId, *testCaseData);
}
private:
typename Model::CommandLineOptions m_ModelCommandLineOptions;
std::function<std::unique_ptr<Model>(const InferenceTestOptions&,
typename Model::CommandLineOptions)> m_ConstructModel;
std::unique_ptr<Model> m_Model;
std::string m_InputSeqDir;
std::string m_PrevStateCDir;
std::string m_PrevStateHDir;
std::string m_LogitsDir;
std::string m_NewStateCDir;
std::string m_NewStateHDir;
std::unique_ptr<DeepSpeechV1Database> m_Database;
};
} // anonymous namespace
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