IVGCVSW-7240 Adjoint is Transpose in TFLite. Change in TFLite parser

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I1bc3d50b8fa6e216d8b6b7e3421d2ff37a21712c
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index a26f3e5..e036d0c 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -1586,10 +1586,11 @@
     const auto& operatorPtr = m_Model->subgraphs[subgraphIndex]->operators[operatorIndex];
     const auto* options = operatorPtr->builtin_options.AsBatchMatMulOptions();
 
-    BatchMatMulDescriptor descriptor(false,
+    // Adjoint in tensorflow lite performs transpose operation
+    BatchMatMulDescriptor descriptor(options->adj_x,
+                                     options->adj_y,
                                      false,
-                                     options->adj_x,
-                                     options->adj_y);
+                                     false);
                                      // Arbitrary DataLayout
 
     IConnectableLayer* layer = m_Network->AddBatchMatMulLayer(descriptor, layerName.c_str());
diff --git a/src/armnnTfLiteParser/test/BatchMatMul.cpp b/src/armnnTfLiteParser/test/BatchMatMul.cpp
index f4cdd67..467637f 100644
--- a/src/armnnTfLiteParser/test/BatchMatMul.cpp
+++ b/src/armnnTfLiteParser/test/BatchMatMul.cpp
@@ -12,8 +12,8 @@
     explicit BatchMatMulFixture(const std::string &inputXShape,
                                 const std::string &inputYShape,
                                 const std::string &outputShape,
-                                const std::string &adjX,
-                                const std::string &adjY)
+                                const std::string &tranX,
+                                const std::string &tranY)
     {
         m_JsonString = R"(
             {
@@ -68,8 +68,8 @@
                                 "outputs": [ 2 ],
                                 "builtin_options_type": "BatchMatMulOptions",
                                 "builtin_options": {
-                                    adj_x: )" + adjX + R"(,
-                                    adj_y: )" + adjY + R"(,
+                                    adj_x: )" + tranX + R"(,
+                                    adj_y: )" + tranY + R"(,
                                     "asymmetric_quantize_inputs": false
                                 },
                                 "custom_options_format": "FLEXBUFFERS"
@@ -105,9 +105,9 @@
          {"inputYTensor", {0.0f, 1.0f, 1.0f,
                            1.0f, 0.0f, 1.0f,
                            1.0f, 1.0f, 0.0f}}},
-        {{"outputTensor", {6.0f, 4.0f, 0.0f,
-                           26.0f, 16.0f, 0.0f,
-                           110.0f, 68.0f, 0.0f}}}
+        {{"outputTensor", {8.0f, 7.0f, 5.0f,
+                           34.0f, 29.0f, 21.0f,
+                           144.0f, 123.0f, 89.0f}}}
         );
 }