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Diffstat (limited to 'src/backends/cl/test/ClCreateWorkloadTests.cpp')
-rw-r--r--src/backends/cl/test/ClCreateWorkloadTests.cpp146
1 files changed, 96 insertions, 50 deletions
diff --git a/src/backends/cl/test/ClCreateWorkloadTests.cpp b/src/backends/cl/test/ClCreateWorkloadTests.cpp
index 47e2f4e8d7..7602cbbc0b 100644
--- a/src/backends/cl/test/ClCreateWorkloadTests.cpp
+++ b/src/backends/cl/test/ClCreateWorkloadTests.cpp
@@ -21,8 +21,8 @@
#include <cl/workloads/ClWorkloads.hpp>
#include <cl/workloads/ClWorkloadUtils.hpp>
-boost::test_tools::predicate_result CompareIClTensorHandleShape(IClTensorHandle* tensorHandle,
- std::initializer_list<unsigned int> expectedDimensions)
+armnn::PredicateResult CompareIClTensorHandleShape(IClTensorHandle* tensorHandle,
+ std::initializer_list<unsigned int> expectedDimensions)
{
return CompareTensorHandleShape<IClTensorHandle>(tensorHandle, expectedDimensions);
}
@@ -43,8 +43,11 @@ static void ClCreateActivationWorkloadTest()
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1, 1}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1, 1}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {1, 1});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+
+ predResult = CompareIClTensorHandleShape(outputHandle, {1, 1});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload)
@@ -74,9 +77,12 @@ static void ClCreateElementwiseWorkloadTest()
auto inputHandle1 = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto inputHandle2 = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle1, {2, 3}));
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle2, {2, 3}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle1, {2, 3});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(inputHandle2, {2, 3});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, {2, 3});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload)
@@ -167,8 +173,11 @@ static void ClCreateElementwiseUnaryWorkloadTest(armnn::UnaryOperation op)
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {2, 3});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+
+ predResult = CompareIClTensorHandleShape(outputHandle, {2, 3});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateRsqrtFloat32WorkloadTest)
@@ -192,15 +201,20 @@ static void ClCreateBatchNormalizationWorkloadTest(DataLayout dataLayout)
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- switch (dataLayout)
+ armnn::PredicateResult predResult(true);
+ switch (dataLayout)
{
case DataLayout::NHWC:
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 }));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4, 4, 3 }));
+ predResult = CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, { 2, 4, 4, 3 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
break;
default: // NCHW
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 }));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 4, 4 }));
+ predResult = CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, { 2, 3, 4, 4 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
}
@@ -239,9 +253,10 @@ BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Workload)
ConvertFp16ToFp32QueueDescriptor queueDescriptor = workload->GetData();
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
-
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1, 3, 2, 3}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1, 3, 2, 3}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {1, 3, 2, 3});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, {1, 3, 2, 3});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16));
BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32));
}
@@ -258,8 +273,10 @@ BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Workload)
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1, 3, 2, 3}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1, 3, 2, 3}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {1, 3, 2, 3});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, {1, 3, 2, 3});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32));
BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16));
}
@@ -470,8 +487,10 @@ static void ClDirectConvolution2dWorkloadTest()
Convolution2dQueueDescriptor queueDescriptor = workload->GetData();
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 6, 6}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 2, 6, 6}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {2, 3, 6, 6});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, {2, 2, 6, 6});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloatWorkload)
@@ -503,8 +522,10 @@ static void ClCreateFullyConnectedWorkloadTest()
FullyConnectedQueueDescriptor queueDescriptor = workload->GetData();
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 1, 4, 5}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 7}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {3, 1, 4, 5});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, {3, 7});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
@@ -660,8 +681,10 @@ static void ClCreateReshapeWorkloadTest()
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1, 4}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {4, 1});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, {1, 4});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload)
@@ -705,8 +728,10 @@ static void ClSoftmaxWorkloadTest()
tensorInfo.SetQuantizationScale(1.f / 256);
}
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4, 1}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {4, 1});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, {4, 1});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
@@ -742,16 +767,20 @@ static void ClSplitterWorkloadTest()
// Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest).
SplitterQueueDescriptor queueDescriptor = workload->GetData();
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {5, 7, 7}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {5, 7, 7});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
auto outputHandle1 = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]);
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle1, {2, 7, 7}));
+ predResult = CompareIClTensorHandleShape(outputHandle1, {2, 7, 7});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
auto outputHandle2 = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[2]);
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle2, {2, 7, 7}));
+ predResult = CompareIClTensorHandleShape(outputHandle2, {2, 7, 7});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
auto outputHandle0 = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle0, {1, 7, 7}));
+ predResult = CompareIClTensorHandleShape(outputHandle0, {1, 7, 7});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateSplitterFloatWorkload)
@@ -931,8 +960,10 @@ static void ClCreateLogSoftmaxWorkloadTest()
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4, 1}));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {4, 1});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, {4, 1});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateLogSoftmaxFloat32WorkloadTest)
@@ -952,8 +983,10 @@ static void ClCreateLstmWorkloadTest()
LstmQueueDescriptor queueDescriptor = workload->GetData();
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 2 }));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4 }));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, {2, 2});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, {2, 4});
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateLSTMWorkloadFloatWorkload)
@@ -975,16 +1008,20 @@ static void ClResizeWorkloadTest(DataLayout dataLayout)
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
+ armnn::PredicateResult predResult(true);
switch (dataLayout)
{
case DataLayout::NHWC:
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 }));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 2, 2, 3 }));
+ predResult = CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, { 2, 2, 2, 3 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
break;
- case DataLayout::NCHW:
- default:
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 }));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 2, 2 }));
+ default: // DataLayout::NCHW
+ predResult = CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, { 2, 3, 2, 2 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
}
@@ -1033,8 +1070,10 @@ static void ClMeanWorkloadTest()
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
// The first dimension (batch size) in both input and output is singular thus it has been reduced by ACL.
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 1, 3, 7, 4 }));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 1, 4 }));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, { 1, 3, 7, 4 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, { 1, 4 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateMeanFloat32Workload)
@@ -1067,9 +1106,12 @@ static void ClCreateConcatWorkloadTest(std::initializer_list<unsigned int> outpu
auto inputHandle1 = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle0, { 2, 3, 2, 5 }));
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle1, { 2, 3, 2, 5 }));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape));
+ auto predResult = CompareIClTensorHandleShape(inputHandle0, { 2, 3, 2, 5 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(inputHandle1, { 2, 3, 2, 5 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, outputShape);
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateConcatDim0Float32Workload)
@@ -1115,8 +1157,10 @@ static void ClSpaceToDepthWorkloadTest()
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 1, 2, 2, 1 }));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 1, 1, 1, 4 }));
+ auto predResult = CompareIClTensorHandleShape(inputHandle, { 1, 2, 2, 1 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
+ predResult = CompareIClTensorHandleShape(outputHandle, { 1, 1, 1, 4 });
+ BOOST_TEST(predResult.m_Result, predResult.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateSpaceToDepthFloat32Workload)
@@ -1161,10 +1205,12 @@ static void ClCreateStackWorkloadTest(const std::initializer_list<unsigned int>&
for (unsigned int i = 0; i < numInputs; ++i)
{
auto inputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[i]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape));
+ auto predResult1 = CompareIClTensorHandleShape(inputHandle, inputShape);
+ BOOST_TEST(predResult1.m_Result, predResult1.m_Message.str());
}
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape));
+ auto predResult2 = CompareIClTensorHandleShape(outputHandle, outputShape);
+ BOOST_TEST(predResult2.m_Result, predResult2.m_Message.str());
}
BOOST_AUTO_TEST_CASE(CreateStackFloat32Workload)
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-07 22:54:27 +0000