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| author | Matthew Sloyan <matthew.sloyan@arm.com> | 2022-06-30 17:13:04 +0100 |
|---|---|---|
| committer | Matthew Sloyan <matthew.sloyan@arm.com> | 2022-07-13 08:31:46 +0000 |
| commit | 21a6a1a5b72907573eade6d232bfaf45a4c14c52 (patch) | |
| tree | f4003d0a60e907937e04d96fc434c0bfac596f86 /src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp | |
| parent | 8b0bee159b970c2aaffcdd22fa61c4106b5607e3 (diff) | |
| download | armnn-21a6a1a5b72907573eade6d232bfaf45a4c14c52.tar.gz | |
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
Diffstat (limited to 'src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp b/src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp index ec0aa0e454..a84af442ab 100644 --- a/src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp +++ b/src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2020 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -27,9 +27,10 @@ void RefLogicalUnaryWorkload::Execute() const Execute(m_Data.m_Inputs, m_Data.m_Outputs); } -void RefLogicalUnaryWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +void RefLogicalUnaryWorkload::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); } void RefLogicalUnaryWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const |