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Diffstat (limited to 'src/backends/backendsCommon/test/LayerTests.cpp')
-rw-r--r--src/backends/backendsCommon/test/LayerTests.cpp105
1 files changed, 77 insertions, 28 deletions
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index 3216ac68ef..9d40197776 100644
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -5287,15 +5287,17 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult<T, 4> L2NormalizationTestImpl(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
- float qScale,
- int32_t qOffset,
const armnn::TensorShape& inputOutputTensorShape,
+ float scale,
+ int32_t offset,
const std::vector<float>& inputValues,
+ float outScale,
+ int32_t outOffset,
const std::vector<float>& expectedOutputValues,
const armnn::DataLayout layout)
{
- const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, ArmnnType, qScale, qOffset);
- const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, ArmnnType, qScale, qOffset);
+ const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, ArmnnType, scale, offset);
+ const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, ArmnnType, outScale, outOffset);
// at this point if we require it permute the input data
const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 };
@@ -5799,8 +5801,10 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult<T, 4> L2Normalization1dTestCommon(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
- float qScale,
- int32_t qOffset,
+ float scale,
+ int32_t offset,
+ float outScale,
+ int32_t outOffset,
const armnn::DataLayout layout)
{
// Width: 1
@@ -5864,8 +5868,8 @@ LayerTestResult<T, 4> L2Normalization1dTestCommon(
};
- return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, qScale, qOffset, inputOutputShape,
- inputValues, expectedOutputValues, layout);
+ return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset,
+ inputValues, outScale, outOffset, expectedOutputValues, layout);
}
@@ -5874,7 +5878,7 @@ LayerTestResult<float, 4> L2Normalization1dTest(
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::DataLayout layout)
{
- return L2Normalization1dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, layout);
+ return L2Normalization1dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0,layout);
}
LayerTestResult<int16_t, 4> L2Normalization1dInt16Test(
@@ -5882,16 +5886,27 @@ LayerTestResult<int16_t, 4> L2Normalization1dInt16Test(
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::DataLayout layout)
{
- return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0,
+ return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0,
layout);
}
+LayerTestResult<uint8_t, 4> L2Normalization1dUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::DataLayout layout)
+{
+ return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0,
+ 1.f/128, 128, layout);
+}
+
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult<T, 4> L2Normalization2dTestCommon(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
- float qScale,
- int32_t qOffset,
+ float scale,
+ int32_t offset,
+ float outScale,
+ int32_t outOffset,
const armnn::DataLayout layout)
{
// Width: 5
@@ -5930,8 +5945,8 @@ LayerTestResult<T, 4> L2Normalization2dTestCommon(
10.0f * CalcInvL2Norm({ 9.0f, 10.0f })
};
- return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, qScale, qOffset, inputOutputShape,
- inputValues, expectedOutputValues, layout);
+ return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset,
+ inputValues, outScale, outOffset, expectedOutputValues, layout);
}
LayerTestResult<float, 4> L2Normalization2dTest(
@@ -5939,7 +5954,8 @@ LayerTestResult<float, 4> L2Normalization2dTest(
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::DataLayout layout)
{
- return L2Normalization2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, layout);
+ return L2Normalization2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0,
+ layout);
}
LayerTestResult<int16_t, 4> L2Normalization2dInt16Test(
@@ -5947,16 +5963,27 @@ LayerTestResult<int16_t, 4> L2Normalization2dInt16Test(
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::DataLayout layout)
{
- return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0,
+ return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0,
layout);
}
+LayerTestResult<uint8_t, 4> L2Normalization2dUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::DataLayout layout)
+{
+ return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0,
+ 1.f/128, 128, layout);
+}
+
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult<T, 4> L2Normalization3dTestCommon(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
- float qScale,
- int32_t qOffset,
+ float scale,
+ int32_t offset,
+ float outScale,
+ int32_t outOffset,
const armnn::DataLayout layout)
{
// Width: 3
@@ -6015,8 +6042,8 @@ LayerTestResult<T, 4> L2Normalization3dTestCommon(
161.0f * CalcInvL2Norm({ 220.0f, 161.0f })
};
- return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, qScale, qOffset, inputOutputShape,
- inputValues, expectedOutputValues, layout);
+ return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset,
+ inputValues, outScale, outOffset, expectedOutputValues, layout);
}
LayerTestResult<float, 4> L2Normalization3dTest(
@@ -6024,7 +6051,8 @@ LayerTestResult<float, 4> L2Normalization3dTest(
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::DataLayout layout)
{
- return L2Normalization3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, layout);
+ return L2Normalization3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0,
+ layout);
}
LayerTestResult<int16_t, 4> L2Normalization3dInt16Test(
@@ -6032,16 +6060,27 @@ LayerTestResult<int16_t, 4> L2Normalization3dInt16Test(
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::DataLayout layout)
{
- return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0,
+ return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0,
layout);
}
+LayerTestResult<uint8_t, 4> L2Normalization3dUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::DataLayout layout)
+{
+ return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0,
+ 1.f/128, 128, layout);
+}
+
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult<T, 4> L2Normalization4dTestCommon(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
- float qScale,
- int32_t qOffset,
+ float scale,
+ int32_t offset,
+ float outScale,
+ int32_t outOffset,
const armnn::DataLayout layout)
{
// Width: 3
@@ -6180,8 +6219,8 @@ LayerTestResult<T, 4> L2Normalization4dTestCommon(
88.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f })
};
- return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, qScale, qOffset, inputOutputShape,
- inputValues, expectedOutputValues, layout);
+ return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset,
+ inputValues, outScale, outOffset, expectedOutputValues, layout);
}
LayerTestResult<float, 4> L2Normalization4dTest(
@@ -6189,7 +6228,8 @@ LayerTestResult<float, 4> L2Normalization4dTest(
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::DataLayout layout)
{
- return L2Normalization4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, layout);
+ return L2Normalization4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0,
+ layout);
}
LayerTestResult<int16_t, 4> L2Normalization4dInt16Test(
@@ -6197,10 +6237,19 @@ LayerTestResult<int16_t, 4> L2Normalization4dInt16Test(
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::DataLayout layout)
{
- return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0,
+ return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0,
layout);
}
+LayerTestResult<uint8_t, 4> L2Normalization4dUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::DataLayout layout)
+{
+ return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0,
+ 1.f/128, 128, layout);
+}
+
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult<T, 4> ConstantTestImpl(
armnn::IWorkloadFactory& workloadFactory,
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-17 06:03:24 +0000