1 files changed, 78 insertions, 3 deletions
diff --git a/delegate/src/Transpose.hpp b/delegate/src/Transpose.hpp
index 2d5823da84..c44c0d2773 100644
--- a/delegate/src/Transpose.hpp
+++ b/delegate/src/Transpose.hpp
@@ -9,6 +9,7 @@
 #include <tensorflow/lite/c/builtin_op_data.h>
 #include <tensorflow/lite/c/common.h>
 #include <tensorflow/lite/minimal_logging.h>
+#include <tensorflow/lite/kernels/internal/tensor_ctypes.h>
 
 namespace armnnDelegate
 {
@@ -17,9 +18,83 @@ TfLiteStatus VisitTransposeOperator(DelegateData& delegateData,
                                     TfLiteContext* tfLiteContext,
                                     TfLiteNode* tfLiteNode,
                                     int nodeIndex,
-                                    int32_t operatorCode)
+                                    int32_t tfliteTransposeOperatorCode)
 {
-    return kTfLiteError;
-}
+    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+    const TfLiteTensor *tfLiteTensors = tfLiteContext->tensors;
+    const TfLiteTensor& tfLiteInputTensor0 = tfLiteTensors[tfLiteNode->inputs->data[0]];
+    if (IsDynamicTensor(tfLiteInputTensor0))
+    {
+        TF_LITE_MAYBE_KERNEL_LOG(tfLiteContext,
+                                 "TfLiteArmnnDelegate: Dynamic input tensors are not supported in "
+                                 "operator #%d node #%d: ",
+                                 tfliteTransposeOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    const TfLiteTensor& tfLiteInputTensor1 = tfLiteTensors[tfLiteNode->inputs->data[1]];
+    if (IsDynamicTensor(tfLiteInputTensor1))
+    {
+        TF_LITE_MAYBE_KERNEL_LOG(tfLiteContext,
+                                 "TfLiteArmnnDelegate: Dynamic input tensors are not supported in "
+                                 "operator #%d node #%d: ",
+                                 tfliteTransposeOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
+    if (IsDynamicTensor(tfLiteOutputTensor))
+    {
+        TF_LITE_MAYBE_KERNEL_LOG(tfLiteContext,
+                                 "TfLiteArmnnDelegate: Dynamic output tensors are not supported in "
+                                 "operator #%d node #%d: ",
+                                 tfliteTransposeOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    const armnn::TensorInfo& inputTensorInfo0 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor0);
+    const armnn::TensorInfo& inputTensorInfo1 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor1); //permutation tensor
+    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor);
+
+    auto* permTensorDataPtr = tflite::GetTensorData<int32_t>(&tfLiteInputTensor1);
+    auto numEl = tfLiteInputTensor1.dims->data[0];
+
+    ARMNN_ASSERT( numEl <= armnn::MaxNumOfTensorDimensions);
+    ARMNN_ASSERT( tfLiteInputTensor1.dims->size == 1); // ensure only single dimension to the permutation tensor
 
+    armnn::TransposeDescriptor descriptor(armnn::PermutationVector(
+        reinterpret_cast<const armnn::PermutationVector::ValueType *> (permTensorDataPtr),
+        (armnn::PermutationVector::SizeType)(numEl)));
+
+    bool isSupported = false;
+
+    auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported)
+    {
+        FORWARD_LAYER_SUPPORT_FUNC(__func__,
+                                   tfLiteContext,
+                                   IsTransposeSupported,
+                                   delegateData.m_Backends,
+                                   isSupported,
+                                   inputTensorInfo0,
+                                   outputTensorInfo,
+                                   descriptor);
+    };
+
+    if (!delegateData.m_Network)
+    {
+        validateFunc(outputTensorInfo, isSupported);
+        return isSupported ? kTfLiteOk : kTfLiteError;
+    }
+
+    armnn::IConnectableLayer* transposeLayer = delegateData.m_Network->AddTransposeLayer(descriptor);
+    ARMNN_ASSERT(transposeLayer != nullptr);
+    ARMNN_ASSERT(transposeLayer->GetNumInputSlots() == 1);     // permutation vector given to descriptor object
+
+    armnn::IOutputSlot& outputSlot = transposeLayer->GetOutputSlot(0);
+    outputSlot.SetTensorInfo(outputTensorInfo);
+
+    return Connect(transposeLayer, tfLiteNode, delegateData);
+}
 } // namespace armnnDelegate