IVGCVSW-4863 ADD,SUB,DIV,MUL,MAXIMUM and MINIMUM int32 VTS test
authorTeresa Charlin <teresa.charlinreyes@arm.com>
Fri, 22 May 2020 17:08:23 +0000 (18:08 +0100)
committerTeresaARM <teresa.charlinreyes@arm.com>
Mon, 25 May 2020 18:07:41 +0000 (18:07 +0000)
             skipped in CpuRef

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I1c870ac258e8c3805a95b259cb40731f8e81541e

15 files changed:
src/backends/backendsCommon/WorkloadData.cpp
src/backends/backendsCommon/test/layerTests/AdditionTestImpl.cpp
src/backends/backendsCommon/test/layerTests/AdditionTestImpl.hpp
src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp
src/backends/backendsCommon/test/layerTests/DivisionTestImpl.hpp
src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
src/backends/backendsCommon/test/layerTests/MaximumTestImpl.hpp
src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp
src/backends/backendsCommon/test/layerTests/MinimumTestImpl.hpp
src/backends/backendsCommon/test/layerTests/MultiplicationTestImpl.cpp
src/backends/backendsCommon/test/layerTests/MultiplicationTestImpl.hpp
src/backends/backendsCommon/test/layerTests/SubtractionTestImpl.cpp
src/backends/backendsCommon/test/layerTests/SubtractionTestImpl.hpp
src/backends/reference/RefLayerSupport.cpp
src/backends/reference/test/RefLayerTests.cpp

index 8f751c4..d3e58b6 100644 (file)
@@ -1074,7 +1074,8 @@ void AdditionQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
         DataType::Float16,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32
     };
 
     ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);
@@ -1110,7 +1111,8 @@ void MultiplicationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) c
         DataType::Float32,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32
     };
 
     ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);
@@ -2161,7 +2163,8 @@ void DivisionQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
         DataType::Float32,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32
     };
 
     ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);
@@ -2194,7 +2197,8 @@ void SubtractionQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) cons
         DataType::Float32,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32,
     };
 
     ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);
index bfe0282..4ae0f5a 100644 (file)
@@ -343,6 +343,14 @@ LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test(
         workloadFactory, memoryManager, 2.f, 0);
 }
 
+LayerTestResult<int32_t, 4> AdditionBroadcastInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return AdditionBroadcastTestImpl<armnn::DataType::Signed32>(
+            workloadFactory, memoryManager, 1.f, 0);
+}
+
 LayerTestResult<float, 4> AdditionBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
@@ -367,6 +375,14 @@ LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test(
         workloadFactory, memoryManager, 0.1333333f, 0);
 }
 
+LayerTestResult<int32_t, 4> AdditionBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return AdditionBroadcast1ElementTestImpl<armnn::DataType::Signed32>(
+            workloadFactory, memoryManager, 1.f, 0);
+}
+
 LayerTestResult<uint8_t, 4> AdditionUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
@@ -451,6 +467,48 @@ LayerTestResult<int16_t, 4> AdditionInt16Test(
         0);
 }
 
+LayerTestResult<int32_t, 4> AdditionInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape0[] = { 1, 2, 2, 3 };
+    const unsigned int shape1[] = { 1, 2, 2, 3 };
+
+    std::vector<int32_t> input0 =
+    {
+        63,  35,  77,  70,  56, 112, //  441, 245,  539,  490,  392, 184
+        203,  28, 252, 168, 245,  91  // 1421, 196, 1764, 1176, 1715, 637
+    };
+
+    std::vector<int32_t> input1 =
+    {
+        21,   7, 175, 231, 175, 210, // 126,   28, 1204, 1596, 1204, 1449
+        126, 161,  63,  21, 105, 126  // 861, 1106,  420,  126,  714,  861
+    };
+
+    std::vector<int32_t> output =
+    {
+        84,  42, 252, 301, 231, 322, //  588,  294, 1764, 2107(clamped), 1617, 2254(clamped)
+        329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519
+    };
+
+    return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        1.0f,
+        0,
+        shape1,
+        input1,
+        1.0f,
+        0,
+        shape0,
+        output,
+        1.0f,
+        0);
+}
+
 LayerTestResult<float, 4> AdditionAfterMaxPoolTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
@@ -627,4 +685,4 @@ LayerTestResult<float,4> CompareAdditionTest(
     CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get());
 
     return ret;
-}
+}
\ No newline at end of file
index eb65c54..8c5385f 100644 (file)
@@ -50,6 +50,18 @@ LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
+LayerTestResult<int32_t, 4> AdditionInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> AdditionBroadcastInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> AdditionBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
 LayerTestResult<float, 4> AdditionAfterMaxPoolTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
index 2359f77..c52c5ce 100644 (file)
@@ -453,3 +453,104 @@ LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test(
         shape0,
         output);
 }
+
+LayerTestResult<int32_t, 4> DivisionInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int width        = 2u;
+    const unsigned int height       = 2u;
+    const unsigned int channelCount = 2u;
+    const unsigned int batchSize    = 2u;
+
+    unsigned int shape[] = { batchSize, channelCount, height, width };
+
+    std::vector<int32_t> input0 =
+    {
+        8, 8, 8, 8,  6, 6, 6, 6,
+        8, 8, 8, 8,  5, 5, 5, 5
+    };
+
+    std::vector<int32_t> input1 =
+    {
+        4, 4, 4, 4,  2, 2, 2, 2,
+        2, 2, 2, 2,  1, 1, 1, 1
+    };
+
+    std::vector<int32_t> output =
+    {
+        2, 2, 2, 2,  3, 3, 3, 3,
+        4, 4, 4, 4,  5, 5, 5, 5
+    };
+
+
+    return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape,
+        input0,
+        shape,
+        input1,
+        shape,
+        output,
+        1.f,
+        0);
+}
+
+LayerTestResult<int32_t, 4> DivisionBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    unsigned int shape0[] = { 1, 2, 2, 2 };
+    unsigned int shape1[] = { 1, 1, 1, 1 };
+
+    std::vector<int32_t> input0 = { 2, 4, 6, 8, 10, 12, 14, 16};
+
+    std::vector<int32_t> input1 = { 2 };
+
+    std::vector<int32_t> output = { 1, 2, 3, 4, 5, 6, 7, 8};
+
+    return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
+
+LayerTestResult<int32_t, 4> DivisionBroadcast1DVectorInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    unsigned int shape0[] = { 1, 3, 3, 2 };
+    unsigned int shape1[] = { 1, 1, 1, 2 };
+
+    std::vector<int32_t> input0 =
+    {
+        1,  4,    3,  8,    5, 12,
+        7, 16,    9, 20,   11, 24,
+        13, 28,   15, 32,   17, 36
+    };
+
+    std::vector<int32_t> input1 = { 1, 2 };
+
+    std::vector<int32_t> output =
+    {
+        1,  2,    3,  4,    5,  6,
+        7,  8,    9, 10,   11, 12,
+        13, 14,   15, 16,   17, 18
+    };
+
+    return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
\ No newline at end of file
index 5e8c502..4e6a910 100644 (file)
@@ -63,3 +63,15 @@ LayerTestResult<int16_t, 4> DivisionBroadcast1ElementInt16Test(
 LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t,4> DivisionInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> DivisionBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> DivisionBroadcast1DVectorInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
\ No newline at end of file
index 0e66d9f..02fea52 100644 (file)
@@ -401,3 +401,93 @@ LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test(
         shape0,
         output);
 }
+
+LayerTestResult<int32_t, 4> MaximumInt32Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    unsigned int shape[] = { 2, 2, 2, 2 };
+
+    std::vector<int32_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6,
+                                  3, 3, 3, 3, 4, 4, 4, 4 });
+
+    std::vector<int32_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3,
+                                  4, 4, 4, 4, 5, 5, 5, 5 });
+
+    std::vector<int32_t> output({ 2, 2, 2, 2, 6, 6, 6, 6,
+                                  4, 4, 4, 4, 5, 5, 5, 5 });
+
+    return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Signed32>(
+            workloadFactory,
+            memoryManager,
+            shape,
+            input0,
+            shape,
+            input1,
+            shape,
+            output);
+}
+
+LayerTestResult<int32_t, 4> MaximumBroadcast1ElementInt32Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape0[] = { 1, 2, 2, 3 };
+    const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+    std::vector<int32_t> input0 =
+    {
+        1, 2, 3,  4,  5,  6,
+        7, 8, 9, 10, 11, 12
+    };
+
+    std::vector<int32_t> input1 = { 2 };
+
+    std::vector<int32_t> output =
+    {
+        2, 2, 3,  4,  5,  6,
+        7, 8, 9, 10, 11, 12
+    };
+
+    return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
+
+LayerTestResult<int32_t, 4> MaximumBroadcast1DVectorInt32Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape0[] = { 1, 2, 2, 3 };
+    const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+    std::vector<int32_t> input0 =
+    {
+        1, 2, 3,  4,  5,  6,
+        7, 8, 9, 10, 11, 12
+    };
+
+    std::vector<int32_t> input1 = { 1, 10, 3 };
+
+    std::vector<int32_t> output =
+    {
+        1, 10, 3,  4, 10,  6,
+        7, 10, 9, 10, 11, 12
+    };
+
+    return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Signed32>(
+            workloadFactory,
+            memoryManager,
+            shape0,
+            input0,
+            shape1,
+            input1,
+            shape0,
+            output);
+}
\ No newline at end of file
index 005d586..082ce6e 100644 (file)
@@ -16,32 +16,32 @@ LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFac
                                            const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
 LayerTestResult<float, 4> MaximumBroadcast1ElementTest(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
 LayerTestResult<float, 4> MaximumBroadcast1DVectorTest(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
 LayerTestResult<armnn::Half, 4> MaximumFloat16Test(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
 LayerTestResult<armnn::Half, 4> MaximumBroadcast1ElementFloat16Test(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
 LayerTestResult<armnn::Half, 4> MaximumBroadcast1DVectorFloat16Test(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
 LayerTestResult<uint8_t, 4> MaximumUint8Test(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
 LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
 LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test(
         armnn::IWorkloadFactory& workloadFactory,
@@ -58,3 +58,15 @@ LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test(
 LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> MaximumInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> MaximumBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> MaximumBroadcast1DVectorInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
\ No newline at end of file
index ae54746..371dc27 100644 (file)
@@ -300,3 +300,102 @@ LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test(
         shape0,
         output);
 }
+
+LayerTestResult<int32_t, 4> MinimumInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    unsigned int shape[] = { 2, 2, 2, 2 };
+
+    std::vector<int32_t> input0 =
+    {
+        1, 1, 1, 1, 6, 6, 6, 6,
+        3, 3, 3, 3, 4, 4, 4, 4
+    };
+
+    std::vector<int32_t> input1 =
+    {
+        2, 2, 2, 2, 3, 3, 3, 3,
+        4, 4, 4, 4, 5, 5, 5, 5
+    };
+
+    std::vector<int32_t> output
+    {
+        1, 1, 1, 1, 3, 3, 3, 3,
+        3, 3, 3, 3, 4, 4, 4, 4
+    };
+
+    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape,
+        input0,
+        shape,
+        input1,
+        shape,
+        output);
+}
+
+LayerTestResult<int32_t, 4> MinimumBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape0[] = { 1, 2, 2, 3 };
+    const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+    std::vector<int32_t> input0 =
+    {
+        1, 2, 3,  4,  5,  6,
+        7, 8, 9, 10, 11, 12
+    };
+
+    std::vector<int32_t> input1 = { 2 };
+
+    std::vector<int32_t> output =
+    {
+        1, 2, 2, 2, 2, 2,
+        2, 2, 2, 2, 2, 2
+    };
+
+    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
+
+LayerTestResult<int32_t, 4> MinimumBroadcast1DVectorInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape0[] = { 1, 2, 2, 3 };
+    const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+    std::vector<int32_t> input0 =
+    {
+        1, 2, 3,  4,  5,  6,
+        7, 8, 9, 10, 11, 12
+    };
+
+    std::vector<int32_t> input1 = { 1, 10, 3 };
+
+    std::vector<int32_t> output =
+    {
+        1, 2, 3, 1,  5, 3,
+        1, 8, 3, 1, 10, 3
+    };
+
+    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
\ No newline at end of file
index b1e38dc..f932e64 100644 (file)
@@ -47,3 +47,15 @@ LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test(
 LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t , 4> MinimumInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> MinimumBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> MinimumBroadcast1DVectorInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
\ No newline at end of file
index 1a9cf5b..18f4831 100644 (file)
@@ -396,6 +396,105 @@ LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test(
         output);
 }
 
+LayerTestResult<int32_t, 4> MultiplicationInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape[] = { 1, 2, 2, 3 };
+
+    std::vector<int32_t> input0 =
+    {
+        6,   7,  8,  9, 10, 11,
+        12, 13, 14, 15, 16, 17
+    };
+
+    std::vector<int32_t> input1 =
+    {
+        1, 2, 3,  4,  5,  6,
+        7, 8, 9, 10, 11, 12
+    };
+
+    std::vector<int32_t> output =
+    {
+        6,   14,  24,  36,  50,  66,
+        84, 104, 126, 150, 176, 204
+    };
+
+    return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape,
+        input0,
+        shape,
+        input1,
+        shape,
+        output);
+}
+
+LayerTestResult<int32_t, 4> MultiplicationBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape0[] = { 1, 2, 2, 3 };
+    const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+    std::vector<int32_t> input0 =
+    {
+        1, 2, 3,  4,  5,  6,
+        7, 8, 9, 10, 11, 12
+    };
+
+    std::vector<int32_t> input1 = { 2 };
+
+    std::vector<int32_t> output =
+    {
+        2,   4,  6,  8, 10, 12,
+        14, 16, 18, 20, 22, 24
+    };
+
+    return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
+
+LayerTestResult<int32_t, 4> MultiplicationBroadcast1DVectorInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape0[] = { 1, 2, 2, 3 };
+    const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+    std::vector<int32_t> input0 =
+    {
+        1, 2, 3,  4,  5,  6,
+        7, 8, 9, 10, 11, 12
+    };
+
+    std::vector<int32_t> input1 = { 1, 2, 3 };
+
+    std::vector<int32_t> output =
+    {
+        1,  4,  9,  4, 10, 18,
+        7, 16, 27, 10, 22, 36
+    };
+
+    return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
+
 LayerTestResult<float,4> CompareMultiplicationTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
index 3e2f2ff..7ef9c42 100644 (file)
@@ -50,6 +50,18 @@ LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
+LayerTestResult<int32_t, 4> MultiplicationInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> MultiplicationBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> MultiplicationBroadcast1DVectorInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
 LayerTestResult<float, 4> CompareMultiplicationTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
index 525fb46..eb1ba6b 100644 (file)
@@ -324,3 +324,84 @@ LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test(
         shape0,
         output);
 }
+
+LayerTestResult<int32_t, 4> SubtractionInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape[] = { 1, 1, 2, 2 };
+
+    std::vector<int32_t> input0 = { 5, 6, 7, 8 };
+    std::vector<int32_t> input1 = { 1, 2, 1, 2 };
+    std::vector<int32_t> output = { 4, 4, 6, 6 };
+
+    return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape,
+        input0,
+        1.0f,
+        0,
+        shape,
+        input1,
+        1.0f,
+        0,
+        shape,
+        output,
+        1.0f,
+        0);
+}
+
+LayerTestResult<int32_t, 4> SubtractionBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape0[] = { 1, 1, 2, 2 };
+    const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+    std::vector<int32_t> input0 = { 5, 6, 7, 8 };
+
+    std::vector<int32_t> input1 = { 2 };
+
+    std::vector<int32_t> output = { 3, 4, 5, 6 };
+
+    return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        1.0f,
+        0,
+        shape1,
+        input1,
+        1.0f,
+        0,
+        shape0,
+        output,
+        1.0f,
+        0);
+}
+
+LayerTestResult<int32_t, 4> SubtractionBroadcastInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const unsigned int shape0[] = { 1, 1, 2, 2 };
+    const unsigned int shape1[] = { 1, 1, 2, 1 };
+
+    std::vector<int32_t> input0 = { 10, 12, 14, 16 };
+
+    std::vector<int32_t> input1 = { 2, 1 };
+
+    std::vector<int32_t> output = { 8, 11, 12, 15 };
+
+    return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::Signed32>(
+        workloadFactory,
+        memoryManager,
+        shape0,
+        input0,
+        shape1,
+        input1,
+        shape0,
+        output);
+}
\ No newline at end of file
index 327aa90..f3de5df 100644 (file)
@@ -59,3 +59,15 @@ LayerTestResult<int16_t, 4> SubtractionBroadcast1ElementInt16Test(
 LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> SubtractionInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> SubtractionBroadcast1ElementInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int32_t, 4> SubtractionBroadcastInt32Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
index 8ca18b5..da8672a 100644 (file)
@@ -145,13 +145,14 @@ bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0,
 {
     bool supported = true;
 
-    std::array<DataType,6> supportedTypes = {
+    std::array<DataType,7> supportedTypes = {
         DataType::BFloat16,
         DataType::Float32,
         DataType::Float16,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32
     };
 
     supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
@@ -759,13 +760,14 @@ bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0,
 {
     bool supported = true;
 
-    std::array<DataType,6> supportedTypes = {
+    std::array<DataType,7> supportedTypes = {
         DataType::BFloat16,
         DataType::Float32,
         DataType::Float16,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32
     };
 
     supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
@@ -1239,13 +1241,14 @@ bool RefLayerSupport::IsMaximumSupported(const TensorInfo& input0,
 {
     bool supported = true;
 
-    std::array<DataType,6> supportedTypes = {
+    std::array<DataType,7> supportedTypes = {
         DataType::BFloat16,
         DataType::Float32,
         DataType::Float16,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32
     };
 
     supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
@@ -1376,13 +1379,14 @@ bool RefLayerSupport::IsMinimumSupported(const TensorInfo& input0,
 {
     bool supported = true;
 
-    std::array<DataType,6> supportedTypes = {
+    std::array<DataType,7> supportedTypes = {
         DataType::BFloat16,
         DataType::Float32,
         DataType::Float16,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32
     };
 
     supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
@@ -1413,13 +1417,14 @@ bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0,
 {
     bool supported = true;
 
-    std::array<DataType,6> supportedTypes = {
+    std::array<DataType,7> supportedTypes = {
         DataType::BFloat16,
         DataType::Float32,
         DataType::Float16,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32
     };
 
     supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
@@ -1965,13 +1970,14 @@ bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0,
 {
     bool supported = true;
 
-    std::array<DataType,6> supportedTypes = {
+    std::array<DataType,7> supportedTypes = {
         DataType::BFloat16,
         DataType::Float32,
         DataType::Float16,
         DataType::QAsymmS8,
         DataType::QAsymmU8,
-        DataType::QSymmS16
+        DataType::QSymmS16,
+        DataType::Signed32
     };
 
     supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
index 3164a92..fc30b0d 100644 (file)
@@ -614,6 +614,10 @@ ARMNN_AUTO_TEST_CASE(AdditionInt16, AdditionInt16Test)
 ARMNN_AUTO_TEST_CASE(AddBroadcastInt16, AdditionBroadcastInt16Test)
 ARMNN_AUTO_TEST_CASE(AddBroadcast1ElementInt16, AdditionBroadcast1ElementInt16Test)
 
+ARMNN_AUTO_TEST_CASE(AdditionInt32, AdditionInt32Test)
+ARMNN_AUTO_TEST_CASE(AddBroadcastInt32, AdditionBroadcastInt32Test)
+ARMNN_AUTO_TEST_CASE(AddBroadcast1ElementInt32, AdditionBroadcast1ElementInt32Test)
+
 // Sub
 ARMNN_AUTO_TEST_CASE(SimpleSub, SubtractionTest)
 ARMNN_AUTO_TEST_CASE(SubBroadcast1Element, SubtractionBroadcast1ElementTest)
@@ -631,6 +635,10 @@ ARMNN_AUTO_TEST_CASE(SubtractionInt16, SubtractionInt16Test)
 ARMNN_AUTO_TEST_CASE(SubBroadcastInt16, SubtractionBroadcastInt16Test)
 ARMNN_AUTO_TEST_CASE(SubBroadcast1ElementInt16, SubtractionBroadcast1ElementInt16Test)
 
+ARMNN_AUTO_TEST_CASE(SubtractionInt32, SubtractionInt32Test)
+ARMNN_AUTO_TEST_CASE(SubBroadcastInt32, SubtractionBroadcastInt32Test)
+ARMNN_AUTO_TEST_CASE(SubBroadcast1ElementInt32, SubtractionBroadcast1ElementInt32Test)
+
 // Div
 ARMNN_AUTO_TEST_CASE(SimpleDivision, DivisionTest)
 ARMNN_AUTO_TEST_CASE(DivisionByZero, DivisionByZeroTest)
@@ -651,6 +659,10 @@ ARMNN_AUTO_TEST_CASE(DivisionInt16, DivisionInt16Test)
 ARMNN_AUTO_TEST_CASE(DivisionInt16Broadcast1Element, DivisionBroadcast1ElementInt16Test)
 ARMNN_AUTO_TEST_CASE(DivisionInt16Broadcast1DVector, DivisionBroadcast1DVectorInt16Test)
 
+ARMNN_AUTO_TEST_CASE(DivisionInt32, DivisionInt32Test)
+ARMNN_AUTO_TEST_CASE(DivisionInt32Broadcast1Element, DivisionBroadcast1ElementInt32Test)
+ARMNN_AUTO_TEST_CASE(DivisionInt32Broadcast1DVector, DivisionBroadcast1DVectorInt32Test)
+
 // Equal
 ARMNN_AUTO_TEST_CASE(EqualSimple,            EqualSimpleTest)
 ARMNN_AUTO_TEST_CASE(EqualBroadcast1Element, EqualBroadcast1ElementTest)
@@ -742,6 +754,9 @@ ARMNN_AUTO_TEST_CASE(MaximumBroadcast1DVectorUint8, MaximumBroadcast1DVectorUint
 ARMNN_AUTO_TEST_CASE(MaximumInt16, MaximumInt16Test)
 ARMNN_AUTO_TEST_CASE(MaximumBroadcast1ElementInt16, MaximumBroadcast1ElementInt16Test)
 ARMNN_AUTO_TEST_CASE(MaximumBroadcast1DVectorInt16, MaximumBroadcast1DVectorInt16Test)
+ARMNN_AUTO_TEST_CASE(MaximumInt32, MaximumInt32Test)
+ARMNN_AUTO_TEST_CASE(MaximumBroadcast1ElementInt32, MaximumBroadcast1ElementInt32Test)
+ARMNN_AUTO_TEST_CASE(MaximumBroadcast1DVectorInt32, MaximumBroadcast1DVectorInt32Test)
 
 // Min
 ARMNN_AUTO_TEST_CASE(SimpleMinimum1, MinimumBroadcast1ElementTest1)
@@ -753,6 +768,9 @@ ARMNN_AUTO_TEST_CASE(MinimumBroadcast1DVectorFloat16, MinimumBroadcast1DVectorFl
 ARMNN_AUTO_TEST_CASE(MinimumInt16, MinimumInt16Test)
 ARMNN_AUTO_TEST_CASE(MinimumBroadcast1ElementInt16, MinimumBroadcast1ElementInt16Test)
 ARMNN_AUTO_TEST_CASE(MinimumBroadcast1DVectorInt16, MinimumBroadcast1DVectorInt16Test)
+ARMNN_AUTO_TEST_CASE(MinimumInt32, MinimumInt32Test)
+ARMNN_AUTO_TEST_CASE(MinimumBroadcast1ElementInt32, MinimumBroadcast1ElementInt32Test)
+ARMNN_AUTO_TEST_CASE(MinimumBroadcast1DVectorInt32, MinimumBroadcast1DVectorInt32Test)
 
 // Mul
 ARMNN_AUTO_TEST_CASE(SimpleMultiplication, MultiplicationTest)
@@ -764,6 +782,9 @@ ARMNN_AUTO_TEST_CASE(MultiplicationBroadcast1DVectorUint8, MultiplicationBroadca
 ARMNN_AUTO_TEST_CASE(MultiplicationInt16, MultiplicationInt16Test)
 ARMNN_AUTO_TEST_CASE(MultiplicationBroadcast1ElementInt16, MultiplicationBroadcast1ElementInt16Test)
 ARMNN_AUTO_TEST_CASE(MultiplicationBroadcast1DVectorInt16, MultiplicationBroadcast1DVectorInt16Test)
+ARMNN_AUTO_TEST_CASE(MultiplicationInt32, MultiplicationInt32Test)
+ARMNN_AUTO_TEST_CASE(MultiplicationBroadcast1ElementInt32, MultiplicationBroadcast1ElementInt32Test)
+ARMNN_AUTO_TEST_CASE(MultiplicationBroadcast1DVectorInt32, MultiplicationBroadcast1DVectorInt32Test)
 ARMNN_AUTO_TEST_CASE(Multiplication5d, Multiplication5dTest)
 
 // Batch Norm