IVGCVSW-6620 Update the async api to use ExecutionData
* ExecutionData holds a void* which can be assigned to data required
for execution in a backend. WorkingMemDescriptors are used in the Ref
backend which hold TensorHandles for inputs and outputs.
* Updated ExecuteAsync functions to take ExecutionData.
* Added CreateExecutionData and UpdateExectutionData to IBackendInternal.
* Streamlined experimental IWorkingMemHandle API by removing map related
function and unused m_workingMemDescriptorMap from WorkingMemHandle.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I54b0aab12872011743a141eb42dae200227769af
diff --git a/src/backends/reference/workloads/RefPermuteWorkload.cpp b/src/backends/reference/workloads/RefPermuteWorkload.cpp
index f6af208..e0e3b4f 100644
--- a/src/backends/reference/workloads/RefPermuteWorkload.cpp
+++ b/src/backends/reference/workloads/RefPermuteWorkload.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -20,9 +20,10 @@
}
template <armnn::DataType DataType>
-void RefPermuteWorkload<DataType>::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+void RefPermuteWorkload<DataType>::ExecuteAsync(ExecutionData& executionData)
{
- Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+ WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
+ Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
}
template <armnn::DataType DataType>