aboutsummaryrefslogtreecommitdiff
path: root/ArmnnPreparedModel_1_2.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'ArmnnPreparedModel_1_2.cpp')
-rw-r--r--ArmnnPreparedModel_1_2.cpp22
1 files changed, 15 insertions, 7 deletions
diff --git a/ArmnnPreparedModel_1_2.cpp b/ArmnnPreparedModel_1_2.cpp
index 83e4aac5..07fd5a6d 100644
--- a/ArmnnPreparedModel_1_2.cpp
+++ b/ArmnnPreparedModel_1_2.cpp
@@ -148,7 +148,8 @@ ArmnnPreparedModel_1_2<HalVersion>::ArmnnPreparedModel_1_2(armnn::NetworkId netw
const V1_2::Model& model,
const std::string& requestInputsAndOutputsDumpDir,
const bool gpuProfilingEnabled,
- const bool asyncModelExecutionEnabled)
+ const bool asyncModelExecutionEnabled,
+ const unsigned int numberOfThreads)
: m_NetworkId(networkId)
, m_Runtime(runtime)
, m_Model(model)
@@ -162,7 +163,14 @@ ArmnnPreparedModel_1_2<HalVersion>::ArmnnPreparedModel_1_2(armnn::NetworkId netw
if (asyncModelExecutionEnabled)
{
- m_WorkingMemHandle = m_Runtime->CreateWorkingMemHandle(networkId);
+ std::vector<std::shared_ptr<armnn::IWorkingMemHandle>> memHandles;
+ for (int i=0; i < numberOfThreads; ++i)
+ {
+ memHandles.emplace_back(m_Runtime->CreateWorkingMemHandle(networkId));
+ }
+
+ m_WorkingMemHandle = memHandles.back();
+ m_Threadpool = std::make_unique<armnn::Threadpool>(numberOfThreads, runtime, memHandles);
}
}
@@ -661,11 +669,11 @@ void ArmnnPreparedModel_1_2<HalVersion>::ScheduleGraphForExecution(
outputTensors,
callbackContext);
- m_Runtime->Schedule(m_NetworkId,
- *tpCb->m_InputTensors,
- *tpCb->m_OutputTensors,
- armnn::QosExecPriority::High,
- tpCb);
+ m_Threadpool->Schedule(m_NetworkId,
+ *tpCb->m_InputTensors,
+ *tpCb->m_OutputTensors,
+ armnn::QosExecPriority::Medium,
+ tpCb);
ALOGV("ArmnnPreparedModel_1_2::ScheduleGraphForExecution end");
}