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| author | Finn Williams <finn.williams@arm.com> | 2022-02-15 20:47:34 +0000 |
|---|---|---|
| committer | Colm Donelan <colm.donelan@arm.com> | 2022-02-16 21:36:45 +0000 |
| commit | 840c45d19bff23d64f78a7e466886fb970b4fcc9 (patch) | |
| tree | f3941b3deb75c00ab68cb535f96172a28c2d4b41 /src/backends/reference/workloads/RefShapeWorkload.hpp | |
| parent | a00bad1140223453e72a134388b209f9fa296d00 (diff) | |
| download | armnn-840c45d19bff23d64f78a7e466886fb970b4fcc9.tar.gz | |
Refactor Forced Import
* Find and replace all workloads associated with imported IO
* Only attempt tensorhandle replacement if supported by all workloads
* Add new RefBaseWorkload to enable forced input for ref backend
* Store imported tensorhandles in preImportedTensorhandles instead of outputHandles
* Create pre-imported tensorhandles at network load-time
* Front load import workload validation to load network time
* Only call ReplaceTensorHandle when needed
Change-Id: I3816a71b7f57ae90388bb16462a75d4ef3544fa7
Signed-off-by: Finn Williams <finn.williams@arm.com>
Diffstat (limited to 'src/backends/reference/workloads/RefShapeWorkload.hpp')
| -rw-r--r-- | src/backends/reference/workloads/RefShapeWorkload.hpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/backends/reference/workloads/RefShapeWorkload.hpp b/src/backends/reference/workloads/RefShapeWorkload.hpp index 209cccda68..b7ed761e0c 100644 --- a/src/backends/reference/workloads/RefShapeWorkload.hpp +++ b/src/backends/reference/workloads/RefShapeWorkload.hpp @@ -5,7 +5,7 @@ #pragma once -#include <armnn/backends/Workload.hpp> +#include "RefBaseWorkload.hpp" #include <armnn/backends/WorkloadData.hpp> #include "RefWorkloadUtils.hpp" @@ -13,10 +13,10 @@ namespace armnn { -struct RefShapeWorkload : public BaseWorkload<ShapeQueueDescriptor> +struct RefShapeWorkload : public RefBaseWorkload<ShapeQueueDescriptor> { public: - using BaseWorkload<ShapeQueueDescriptor>::BaseWorkload; + using RefBaseWorkload<ShapeQueueDescriptor>::RefBaseWorkload; virtual void Execute() const override { Execute(m_Data.m_Inputs, m_Data.m_Outputs); |