From 248683fef73807b49e5a58fbd0428900b7e9cfb9 Mon Sep 17 00:00:00 2001
From: nikraj01 <nikhil.raj@arm.com>
Date: Wed, 29 May 2019 16:46:50 +0100
Subject: IVGCVSW-3173 Extend reference softmax workload to support qsymm16

Change-Id: I9ad5a04368a4587588d733ac36ad157f79b6c432
Signed-off-by: nikraj01 <nikhil.raj@arm.com>
---
 src/backends/backendsCommon/WorkloadData.cpp       | 16 +++++++++++++++
 src/backends/backendsCommon/test/LayerTests.cpp    | 24 ++++++++++++++++++++++
 src/backends/backendsCommon/test/LayerTests.hpp    | 15 ++++++++++++++
 src/backends/reference/RefLayerSupport.cpp         | 23 ++++++++++++++++-----
 .../reference/test/RefCreateWorkloadTests.cpp      |  5 +++++
 src/backends/reference/test/RefLayerTests.cpp      |  4 ++++
 6 files changed, 82 insertions(+), 5 deletions(-)

diff --git a/src/backends/backendsCommon/WorkloadData.cpp b/src/backends/backendsCommon/WorkloadData.cpp
index 96e83c21dd..e8e10d972a 100644
--- a/src/backends/backendsCommon/WorkloadData.cpp
+++ b/src/backends/backendsCommon/WorkloadData.cpp
@@ -327,6 +327,22 @@ void SoftmaxQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
                               "SoftmaxQueueDescriptor",
                               "input",
                               "output");
+
+    std::vector<DataType> supportedTypes =
+    {
+            DataType::Float16,
+            DataType::Float32,
+            DataType::QuantisedAsymm8,
+            DataType::QuantisedSymm16
+    };
+
+    ValidateDataTypes(workloadInfo.m_InputTensorInfos[0],
+                      supportedTypes,
+                      "SoftmaxQueueDescriptor");
+
+    ValidateDataTypes(workloadInfo.m_OutputTensorInfos[0],
+                      {workloadInfo.m_InputTensorInfos[0].GetDataType()},
+                      "SoftmaxQueueDescriptor");
 }
 
 //---------------------------------------------------------------
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index bc8e13d1ae..de3c857399 100644
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -1070,6 +1070,30 @@ LayerTestResult<uint8_t,4> Simple4dSoftmaxUint8Test(
     return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta);
 }
 
+LayerTestResult<int16_t,2> SimpleSoftmaxUint16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        float beta)
+{
+    return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta);
+}
+
+LayerTestResult<int16_t,3> Simple3dSoftmaxUint16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        float beta)
+{
+    return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta);
+}
+
+LayerTestResult<int16_t,4> Simple4dSoftmaxUint16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        float beta)
+{
+    return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta);
+}
+
 LayerTestResult<float,4> CompareNormalizationTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
index edb70455d5..893252b054 100644
--- a/src/backends/backendsCommon/test/LayerTests.hpp
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -369,6 +369,21 @@ LayerTestResult<uint8_t,4> Simple4dSoftmaxUint8Test(
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         float beta);
 
+LayerTestResult<int16_t,2> SimpleSoftmaxUint16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        float beta);
+
+LayerTestResult<int16_t,3> Simple3dSoftmaxUint16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        float beta);
+
+LayerTestResult<int16_t,4> Simple4dSoftmaxUint16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        float beta);
+
 LayerTestResult<float, 4> SimpleSigmoidTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index a9cddfd1bb..e4bc9bf584 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -1060,11 +1060,24 @@ bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input,
                                          Optional<std::string&> reasonIfUnsupported) const
 {
     ignore_unused(output);
-    ignore_unused(descriptor);
-    return IsSupportedForDataTypeRef(reasonIfUnsupported,
-                                     input.GetDataType(),
-                                     &TrueFunc<>,
-                                     &TrueFunc<>);
+    bool supported = true;
+    std::array<DataType,3> supportedTypes =
+    {
+            DataType::Float32,
+            DataType::QuantisedAsymm8,
+            DataType::QuantisedSymm16
+    };
+
+    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
+                                  "Reference concatenation: output type not supported");
+
+    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
+                                  "Reference concatenation: input type not supported");
+
+    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
+                                  "Reference concatenation: input type not supported");
+
+    return supported;
 }
 
 bool RefLayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input,
diff --git a/src/backends/reference/test/RefCreateWorkloadTests.cpp b/src/backends/reference/test/RefCreateWorkloadTests.cpp
index fef2567d07..78083fa07b 100644
--- a/src/backends/reference/test/RefCreateWorkloadTests.cpp
+++ b/src/backends/reference/test/RefCreateWorkloadTests.cpp
@@ -441,6 +441,11 @@ BOOST_AUTO_TEST_CASE(CreateSoftmaxQuantisedAsymm8Workload)
     RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::QuantisedAsymm8>();
 }
 
+BOOST_AUTO_TEST_CASE(CreateSoftmaxQuantisedSymm16Workload)
+{
+    RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::QuantisedSymm16>();
+}
+
 template <typename SplitterWorkloadType, armnn::DataType DataType>
 static void RefCreateSplitterWorkloadTest()
 {
diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp
index a78b5aae5d..522d673f07 100644
--- a/src/backends/reference/test/RefLayerTests.cpp
+++ b/src/backends/reference/test/RefLayerTests.cpp
@@ -200,6 +200,10 @@ ARMNN_AUTO_TEST_CASE(Simple3dSoftmaxUint8, Simple3dSoftmaxUint8Test, 1.0f)
 ARMNN_AUTO_TEST_CASE(Simple4dSoftmax, Simple4dSoftmaxTest, 1.0f)
 ARMNN_AUTO_TEST_CASE(Simple4dSoftmaxUint8, Simple4dSoftmaxUint8Test, 1.0f)
 
+ARMNN_AUTO_TEST_CASE(SimpleSoftmaxUint16, SimpleSoftmaxUint16Test, 1.0f)
+ARMNN_AUTO_TEST_CASE(Simple3dSoftmaxUint16, Simple3dSoftmaxUint16Test, 1.0f)
+ARMNN_AUTO_TEST_CASE(Simple4dSoftmaxUint16, Simple4dSoftmaxUint16Test, 1.0f)
+
 // Sigmoid Activation
 ARMNN_AUTO_TEST_CASE(SimpleSigmoid, SimpleSigmoidTest)
 ARMNN_AUTO_TEST_CASE(SimpleSigmoidUint8, SimpleSigmoidUint8Test)
-- 
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