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| author | Tracy Narine <tracy.narine@arm.com> | 2023-09-20 14:19:07 +0100 |
|---|---|---|
| committer | Tracy Narine <tracy.narine@arm.com> | 2023-09-28 14:25:16 +0100 |
| commit | 6440ce89abb06e090d2b3cf91bafc14277072475 (patch) | |
| tree | c55682891a0f01f3edbf5dad58720ded7af3fc64 /src/backends/backendsCommon/test/layerTests/AddMulAddTestImpl.hpp | |
| parent | 9a418d850333119e219fb05addc57b56cdc60a7e (diff) | |
| download | armnn-6440ce89abb06e090d2b3cf91bafc14277072475.tar.gz | |
IVGCVSW-7504 Create a backend specific optimization to fuse ADD+MUL+Add+(Activation) in CpuAcc
* Adding CpuAcc backend optimization to fuse add+mul+add into one layer
* Tests added/enhanced
* Also added optional extended parameter to Graph::Print()
and throw macros that could be used in place of assert
Signed-off-by: Tracy Narine <tracy.narine@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I5f8d094b969a130d8c2c7b4da07426313a9fea76
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/AddMulAddTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/AddMulAddTestImpl.hpp | 18 |
1 files changed, 12 insertions, 6 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/AddMulAddTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/AddMulAddTestImpl.hpp index 9dece9be3b..39d2219954 100644 --- a/src/backends/backendsCommon/test/layerTests/AddMulAddTestImpl.hpp +++ b/src/backends/backendsCommon/test/layerTests/AddMulAddTestImpl.hpp @@ -39,18 +39,18 @@ std::vector<LayerTestResult<T,4>> AddMulAddTest(armnn::IWorkloadFactory& workloa if (IsQuantizedType<T>()) { input0TensorInfo.SetQuantizationScale(0.25f); - input0TensorInfo.SetQuantizationOffset(128); + input0TensorInfo.SetQuantizationOffset(10); input1TensorInfo.SetQuantizationScale(0.25f); - input1TensorInfo.SetQuantizationOffset(128); + input1TensorInfo.SetQuantizationOffset(11); mulInput1TensorInfo.SetQuantizationScale(0.25f); - mulInput1TensorInfo.SetQuantizationOffset(128); + mulInput1TensorInfo.SetQuantizationOffset(12); addInput1TensorInfo.SetQuantizationScale(0.25f); - addInput1TensorInfo.SetQuantizationOffset(128); + addInput1TensorInfo.SetQuantizationOffset(13); output0TensorInfo.SetQuantizationScale(0.5f); - output0TensorInfo.SetQuantizationOffset(120); + output0TensorInfo.SetQuantizationOffset(14); output1TensorInfo.SetQuantizationScale(0.5f); - output1TensorInfo.SetQuantizationOffset(120); + output1TensorInfo.SetQuantizationOffset(15); } std::vector<float> input0Data @@ -140,6 +140,12 @@ std::vector<LayerTestResult<T,4>> AddMulAddTest(armnn::IWorkloadFactory& workloa } AddOutputToWorkload(fusedQueueDescriptor, info, output1TensorInfo, output1Handle.get()); + if (addOutput) + { + AddOutputToWorkload(fusedQueueDescriptor, info, output0TensorInfo, output0Handle.get()); + } + AddOutputToWorkload(fusedQueueDescriptor, info, output1TensorInfo, output1Handle.get()); + std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Fused, fusedQueueDescriptor, info); |