diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp | 30 |
1 files changed, 26 insertions, 4 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp index 4475fb7abf..18c9e54f25 100644 --- a/src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp @@ -70,7 +70,7 @@ LayerTestResult<int32_t, 3> ArgMaxSimpleTest( armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); - if(armnn::IsQuantizedType<T>()) + if (armnn::IsQuantizedType<T>()) { inputTensorInfo.SetQuantizationScale(1.0f); inputTensorInfo.SetQuantizationOffset(0); @@ -97,7 +97,7 @@ LayerTestResult<int32_t, 3> ArgMinSimpleTest( armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); - if(armnn::IsQuantizedType<T>()) + if (armnn::IsQuantizedType<T>()) { inputTensorInfo.SetQuantizationScale(1.0f); inputTensorInfo.SetQuantizationOffset(0); @@ -124,7 +124,7 @@ LayerTestResult<int32_t, 3> ArgMinChannelTest( armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); - if(armnn::IsQuantizedType<T>()) + if (armnn::IsQuantizedType<T>()) { inputTensorInfo.SetQuantizationScale(1.0f); inputTensorInfo.SetQuantizationOffset(0); @@ -159,7 +159,7 @@ LayerTestResult<int32_t, 3> ArgMaxChannelTest( armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); - if(armnn::IsQuantizedType<T>()) + if (armnn::IsQuantizedType<T>()) { inputTensorInfo.SetQuantizationScale(1.0f); inputTensorInfo.SetQuantizationOffset(0); @@ -195,6 +195,12 @@ LayerTestResult<int32_t, 3> ArgMaxHeightTest( armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Signed32); + if (armnn::IsQuantizedType<T>()) + { + inputTensorInfo.SetQuantizationScale(1.0f); + inputTensorInfo.SetQuantizationOffset(0); + } + std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, @@ -224,6 +230,12 @@ LayerTestResult<int32_t, 3> ArgMinWidthTest( armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Signed32); + if (armnn::IsQuantizedType<T>()) + { + inputTensorInfo.SetQuantizationScale(1.0f); + inputTensorInfo.SetQuantizationOffset(0); + } + std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, @@ -336,6 +348,11 @@ ArgMaxHeightTest<armnn::DataType::Signed32>( const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); template LayerTestResult<int32_t, 3> +ArgMaxHeightTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +template LayerTestResult<int32_t, 3> ArgMinWidthTest<armnn::DataType::Float32>( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); @@ -344,3 +361,8 @@ template LayerTestResult<int32_t, 3> ArgMinWidthTest<armnn::DataType::Signed32>( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +template LayerTestResult<int32_t, 3> +ArgMinWidthTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |