commit 651aafec6235ddbc1177229dedcdd21ffad01616
author Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Mon Aug 05 11:52:05 2019 +0100
committer Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Mon Aug 05 11:52:05 2019 +0100
tree e935ddb864f25fb48026957d841bff20bcffb272
parent 198ee400733aa633ddeb867e42cc241a684e9787

IVGCVSW-3611 Report TransposeConvolution2d as unsupported on CpuRef when channel multiplier != 1

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I784bbff3f7b6650881d3f70ba7cd1891171195b1

src/backends/reference/RefLayerSupport.cpp

diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index df9ba1f..d42404d 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -6,8 +6,10 @@
 #include "RefLayerSupport.hpp"
 #include "RefBackendId.hpp"
 
+#include <DataLayoutIndexed.hpp>
 #include <InternalTypes.hpp>
 #include <LayerSupportCommon.hpp>
+
 #include <armnn/Types.hpp>
 #include <armnn/Descriptors.hpp>
 
@@ -1725,8 +1727,6 @@
                                                         const Optional<TensorInfo>& biases,
                                                         Optional<std::string&> reasonIfUnsupported) const
 {
-    ignore_unused(descriptor);
-
     bool supported = true;
 
     std::array<DataType,3> supportedTypes =
@@ -1753,7 +1753,8 @@
 
     if (biases.has_value())
     {
-        std::array<DataType,3> biasesSupportedTypes = {
+        std::array<DataType,3> biasesSupportedTypes =
+        {
                 DataType::Float32,
                 DataType::Signed32
         };
@@ -1761,6 +1762,24 @@
                                       "Reference TransposeConvolution2d: biases is not a supported type.");
     }
 
+    // NOTE: Temporary restriction; should be removed as soon as support for channel
+    // multiplier different from 1 (input channels != output channels) has been added
+    struct ChannelsAreEqual : public Rule
+    {
+        ChannelsAreEqual(const TensorInfo& input,
+                         const TensorInfo& output,
+                         const TransposeConvolution2dDescriptor& descriptor)
+        {
+            armnnUtils::DataLayoutIndexed dataLayoutIndexed(descriptor.m_DataLayout);
+            const unsigned int channelsIndex = dataLayoutIndexed.GetChannelsIndex();
+
+            m_Res = (input.GetShape()[channelsIndex] == output.GetShape()[channelsIndex]);
+        }
+    };
+
+    supported &= CheckSupportRule(ChannelsAreEqual(input, output, descriptor), reasonIfUnsupported,
+                                  "Reference TransposeConvolution2d: inputChannels != outputChannels");
+
     return supported;
 }