Reformatted

This commit is contained in:
Alejandro Saucedo 2020-10-18 21:30:43 +01:00
parent 06917b836b
commit 267f92763e
6 changed files with 31 additions and 30 deletions

View file

@ -124,10 +124,10 @@ Manager::createManagedSequence(std::string sequenceName, uint32_t queueIndex)
if (sequenceName.empty()) {
this->mCurrentSequenceIndex++;
this->mManagedSequences.insert({ KP_DEFAULT_SESSION + std::to_string(this->mCurrentSequenceIndex), sq });
}
else
{
this->mManagedSequences.insert(
{ KP_DEFAULT_SESSION + std::to_string(this->mCurrentSequenceIndex),
sq });
} else {
// TODO: Check if sequence doens't already exist
this->mManagedSequences.insert({ sequenceName, sq });
}

View file

@ -76,7 +76,8 @@ Sequence::begin()
}
if (this->isRunning()) {
SPDLOG_WARN("Kompute Sequence begin called when sequence still running");
SPDLOG_WARN(
"Kompute Sequence begin called when sequence still running");
return false;
}

View file

@ -72,7 +72,8 @@ class Manager
* Create a new managed Kompute sequence so it's available within the
* manager.
*
* @param sequenceName The name for the named sequence to be created, if empty then default indexed value is used
* @param sequenceName The name for the named sequence to be created, if
* empty then default indexed value is used
* @param queueIndex The queue to use from the available queues
* @return Weak pointer to the manager owned sequence resource
*/
@ -125,8 +126,10 @@ class Manager
{
SPDLOG_DEBUG("Kompute Manager evalOp Default triggered");
this->mCurrentSequenceIndex++;
this->evalOp<T>(
tensors, KP_DEFAULT_SESSION + std::to_string(this->mCurrentSequenceIndex), std::forward<TArgs>(params)...);
this->evalOp<T>(tensors,
KP_DEFAULT_SESSION +
std::to_string(this->mCurrentSequenceIndex),
std::forward<TArgs>(params)...);
}
/**
@ -168,7 +171,8 @@ class Manager
}
/**
* Operation that evaluates operation against default sequence asynchronously.
* Operation that evaluates operation against default sequence
* asynchronously.
*
* @param tensors The tensors to be used in the operation recorded
* @param params Template parameters that will be used to initialise
@ -176,12 +180,14 @@ class Manager
*/
template<typename T, typename... TArgs>
void evalOpAsyncDefault(std::vector<std::shared_ptr<Tensor>> tensors,
TArgs&&... params)
TArgs&&... params)
{
SPDLOG_DEBUG("Kompute Manager evalOpAsyncDefault triggered");
this->mCurrentSequenceIndex++;
this->evalOpAsync<T>(
tensors, KP_DEFAULT_SESSION + std::to_string(this->mCurrentSequenceIndex), std::forward<TArgs>(params)...);
this->evalOpAsync<T>(tensors,
KP_DEFAULT_SESSION +
std::to_string(this->mCurrentSequenceIndex),
std::forward<TArgs>(params)...);
}
/**
@ -192,7 +198,8 @@ class Manager
*/
void evalOpAwait(std::string sequenceName, uint64_t waitFor = UINT64_MAX)
{
SPDLOG_DEBUG("Kompute Manager evalOpAwait triggered with sequence {}", sequenceName);
SPDLOG_DEBUG("Kompute Manager evalOpAwait triggered with sequence {}",
sequenceName);
std::unordered_map<std::string, std::shared_ptr<Sequence>>::iterator
found = this->mManagedSequences.find(sequenceName);
@ -221,7 +228,9 @@ class Manager
void evalOpAwaitDefault(uint64_t waitFor = UINT64_MAX)
{
SPDLOG_DEBUG("Kompute Manager evalOpAwaitDefault triggered");
this->evalOpAwait(KP_DEFAULT_SESSION + std::to_string(this->mCurrentSequenceIndex), waitFor);
this->evalOpAwait(KP_DEFAULT_SESSION +
std::to_string(this->mCurrentSequenceIndex),
waitFor);
}
/**

View file

@ -55,8 +55,7 @@ TEST(TestAsyncOperations, TestManagerParallelExecution)
for (uint32_t i = 0; i < numParallel; i++) {
mgr.evalOpDefault<kp::OpAlgoBase<>>(
{ inputsSyncB[i] },
std::vector<char>(shader.begin(), shader.end()));
{ inputsSyncB[i] }, std::vector<char>(shader.begin(), shader.end()));
}
auto endSync = std::chrono::high_resolution_clock::now();
@ -153,14 +152,10 @@ TEST(TestAsyncOperations, TestManagerAsyncExecution)
mgr.evalOpDefault<kp::OpTensorCreate>({ tensorA, tensorB });
mgr.evalOpAsync<kp::OpAlgoBase<>>(
{ tensorA },
"asyncOne",
std::vector<char>(shader.begin(), shader.end()));
{ tensorA }, "asyncOne", std::vector<char>(shader.begin(), shader.end()));
mgr.evalOpAsync<kp::OpAlgoBase<>>(
{ tensorB },
"asyncTwo",
std::vector<char>(shader.begin(), shader.end()));
{ tensorB }, "asyncTwo", std::vector<char>(shader.begin(), shader.end()));
mgr.evalOpAwait("asyncOne");
mgr.evalOpAwait("asyncTwo");

View file

@ -39,8 +39,7 @@ TEST(TestLogisticRegressionAlgorithm, TestMainLogisticRegression)
sqTensor->end();
sqTensor->eval();
std::shared_ptr<kp::Sequence> sq =
mgr.createManagedSequence().lock();
std::shared_ptr<kp::Sequence> sq = mgr.createManagedSequence().lock();
// Record op algo base
sq->begin();
@ -123,8 +122,7 @@ TEST(TestLogisticRegressionAlgorithm, TestMainLogisticRegressionManualCopy)
sqTensor->end();
sqTensor->eval();
std::shared_ptr<kp::Sequence> sq =
mgr.createManagedSequence().lock();
std::shared_ptr<kp::Sequence> sq = mgr.createManagedSequence().lock();
// Record op algo base
sq->begin();

View file

@ -58,11 +58,9 @@ TEST(TestMultipleAlgoExecutions, MultipleCmdBufRecords)
pa[index] = pa[index] + 1;
})");
std::shared_ptr<kp::Sequence> sqTensor =
mgr.createManagedSequence().lock();
std::shared_ptr<kp::Sequence> sqTensor = mgr.createManagedSequence().lock();
std::shared_ptr<kp::Sequence> sq =
mgr.createManagedSequence().lock();
std::shared_ptr<kp::Sequence> sq = mgr.createManagedSequence().lock();
// First create the tensor in a separate sequence
sqTensor->begin();