From 98180eff3c1feed19576d82ceac06d476235d973 Mon Sep 17 00:00:00 2001
From: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Date: Wed, 26 Jun 2019 15:02:47 +0100
Subject: IVGCVSW-3324 Add end-to-end tests for TransposeConvolution2d on
 CpuRef

* Added one end-to-end test for all supported data types and data layout
* Implemented RefLayerSupport::IsTransposeConvolution2dSupported()
* Fixed formula used in TransposeConvolution2dLayer::InferOutputShapes()

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: If1ba3c226ecfa17f7fceffae857f39297c6433f2
---
 src/backends/reference/RefLayerSupport.cpp       | 46 ++++++++++++++++++++++++
 src/backends/reference/RefLayerSupport.hpp       |  8 +++++
 src/backends/reference/RefWorkloadFactory.cpp    |  4 +++
 src/backends/reference/test/RefEndToEndTests.cpp | 38 ++++++++++++++++++++
 4 files changed, 96 insertions(+)

(limited to 'src/backends/reference')

diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index 06d9e1bff9..429993a55f 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -1466,4 +1466,50 @@ bool RefLayerSupport::IsPreluSupported(const TensorInfo& input,
     return supported;
 }
 
+bool RefLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input,
+                                                        const TensorInfo& output,
+                                                        const TransposeConvolution2dDescriptor& descriptor,
+                                                        const TensorInfo& weights,
+                                                        const Optional<TensorInfo>& biases,
+                                                        Optional<std::string&> reasonIfUnsupported) const
+{
+    ignore_unused(descriptor);
+
+    bool supported = true;
+
+    std::array<DataType,3> supportedTypes =
+    {
+            DataType::Float32,
+            DataType::QuantisedAsymm8,
+            DataType::QuantisedSymm16
+    };
+
+    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
+                                  "Reference TransposeConvolution2d: input is not a supported type.");
+
+    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
+                                  "Reference TransposeConvolution2d: output is not a supported type.");
+
+    supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
+                                  "Reference TransposeConvolution2d: weights is not a supported type.");
+
+    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
+                                  "Reference TransposeConvolution2d: input and output types mismatched.");
+
+    supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
+                                  "Reference TransposeConvolution2d: input and weights types mismatched.");
+
+    if (biases.has_value())
+    {
+        std::array<DataType,3> biasesSupportedTypes = {
+                DataType::Float32,
+                DataType::Signed32
+        };
+        supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
+                                      "Reference TransposeConvolution2d: biases is not a supported type.");
+    }
+
+    return supported;
+}
+
 } // namespace armnn
diff --git a/src/backends/reference/RefLayerSupport.hpp b/src/backends/reference/RefLayerSupport.hpp
index 5d241492c2..9c397fe66b 100644
--- a/src/backends/reference/RefLayerSupport.hpp
+++ b/src/backends/reference/RefLayerSupport.hpp
@@ -266,6 +266,14 @@ public:
                           const TensorInfo& alpha,
                           const TensorInfo& output,
                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsTransposeConvolution2dSupported(
+        const TensorInfo& input,
+        const TensorInfo& output,
+        const TransposeConvolution2dDescriptor& descriptor,
+        const TensorInfo& weights,
+        const Optional<TensorInfo>& biases,
+        Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 };
 
 } // namespace armnn
diff --git a/src/backends/reference/RefWorkloadFactory.cpp b/src/backends/reference/RefWorkloadFactory.cpp
index 5ede8b3f02..d906f93a38 100644
--- a/src/backends/reference/RefWorkloadFactory.cpp
+++ b/src/backends/reference/RefWorkloadFactory.cpp
@@ -468,6 +468,10 @@ std::unique_ptr<IWorkload> RefWorkloadFactory::CreateTransposeConvolution2d(
     const TransposeConvolution2dQueueDescriptor& descriptor,
     const WorkloadInfo& info) const
 {
+    if (IsFloat16(info))
+    {
+        return MakeWorkload<NullWorkload, NullWorkload>(descriptor, info);
+    }
     return std::make_unique<RefTransposeConvolution2dWorkload>(descriptor, info);
 }
 
diff --git a/src/backends/reference/test/RefEndToEndTests.cpp b/src/backends/reference/test/RefEndToEndTests.cpp
index 4d56952e27..a528a54cd2 100644
--- a/src/backends/reference/test/RefEndToEndTests.cpp
+++ b/src/backends/reference/test/RefEndToEndTests.cpp
@@ -13,6 +13,7 @@
 #include <backendsCommon/test/ArithmeticTestImpl.hpp>
 #include <backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp>
 #include <backendsCommon/test/SplitterEndToEndTestImpl.hpp>
+#include <backendsCommon/test/TransposeConvolution2dEndToEndTestImpl.hpp>
 
 #include <boost/test/unit_test.hpp>
 #include <boost/test/execution_monitor.hpp>
@@ -930,4 +931,41 @@ BOOST_AUTO_TEST_CASE(RefSplitter4dDim3EndToEndUint8Test)
     Splitter4dDim3EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends);
 }
 
+// TransposeConvolution2d
+BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndFloatNchwTest)
+{
+    TransposeConvolution2dEndToEnd<armnn::DataType::Float32, armnn::DataType::Float32>(
+        defaultBackends, armnn::DataLayout::NCHW);
+}
+
+BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndUint8NchwTest)
+{
+    TransposeConvolution2dEndToEnd<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>(
+        defaultBackends, armnn::DataLayout::NCHW);
+}
+
+BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndInt16NchwTest)
+{
+    TransposeConvolution2dEndToEnd<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>(
+        defaultBackends, armnn::DataLayout::NCHW);
+}
+
+BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndFloatNhwcTest)
+{
+    TransposeConvolution2dEndToEnd<armnn::DataType::Float32, armnn::DataType::Float32>(
+        defaultBackends, armnn::DataLayout::NHWC);
+}
+
+BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndUint8NhwcTest)
+{
+    TransposeConvolution2dEndToEnd<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>(
+        defaultBackends, armnn::DataLayout::NHWC);
+}
+
+BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndInt16NhwcTest)
+{
+    TransposeConvolution2dEndToEnd<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>(
+        defaultBackends, armnn::DataLayout::NHWC);
+}
+
 BOOST_AUTO_TEST_SUITE_END()
-- 
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