1 files changed, 110 insertions, 0 deletions
diff --git a/delegate/opaque/src/Transpose.hpp b/delegate/opaque/src/Transpose.hpp
index e16969768e..2627c42f1f 100644
--- a/delegate/opaque/src/Transpose.hpp
+++ b/delegate/opaque/src/Transpose.hpp
@@ -2,3 +2,113 @@
 // Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
+
+#pragma once
+
+#include <OpaqueDelegateUtils.hpp>
+
+namespace armnnOpaqueDelegate
+{
+
+TfLiteStatus VisitTransposeOperator(DelegateData& delegateData,
+                                    TfLiteOpaqueContext* tfLiteContext,
+                                    TfLiteOpaqueNode* tfLiteNode,
+                                    int nodeIndex,
+                                    int32_t tfliteTransposeOperatorCode)
+{
+    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+    // Gather input indices and use to get input tensor.
+    const int* inputTensors;
+    int numInputs;
+    if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk)
+    {
+        TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ",
+                nodeIndex);
+        return kTfLiteError;
+    }
+    const TfLiteOpaqueTensor* tfLiteInputTensor0 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]);
+    if (!IsValid(tfLiteContext, tfLiteInputTensor0, tfliteTransposeOperatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+    const TfLiteOpaqueTensor* tfLiteInputTensor1 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);
+    if (!IsValid(tfLiteContext, tfLiteInputTensor1, tfliteTransposeOperatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    // Gather output indices and use to get output tensors.
+    const int* outputTensors;
+    int numOutputs;
+    if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numOutputs) != kTfLiteOk)
+    {
+        TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ",
+                nodeIndex);
+        return kTfLiteError;
+    }
+
+    const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]);
+    if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfliteTransposeOperatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const armnn::TensorInfo& inputTensorInfo0 = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor0);
+    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true);
+
+    auto* permTensorDataPtr = static_cast<int32_t*>(TfLiteOpaqueTensorData(tfLiteInputTensor1));
+    unsigned int numEl = TfLiteOpaqueTensorDim(tfLiteInputTensor1, 0);
+
+    ARMNN_ASSERT( numEl <= static_cast<int>(armnn::MaxNumOfTensorDimensions) );
+    // Ensure only single dimension to the permutation tensor
+    ARMNN_ASSERT( TfLiteOpaqueTensorNumDims(tfLiteInputTensor1) == 1 );
+
+    armnn::TransposeDescriptor descriptor(armnn::PermutationVector(
+            reinterpret_cast<const armnn::PermutationVector::ValueType *> (permTensorDataPtr),
+            static_cast<armnn::PermutationVector::SizeType>(numEl)));
+
+    bool isSupported = false;
+    armnn::BackendId setBackend;
+    auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported)
+    {
+        FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("TRANSPOSE",
+                                          tfLiteContext,
+                                          IsTransposeSupported,
+                                          delegateData.m_Backends,
+                                          isSupported,
+                                          setBackend,
+                                          inputTensorInfo0,
+                                          outputTensorInfo,
+                                          descriptor);
+    };
+
+    if (!delegateData.m_Network)
+    {
+        validateFunc(outputTensorInfo, isSupported);
+        return isSupported ? kTfLiteOk : kTfLiteError;
+    }
+
+    armnn::IConnectableLayer* transposeLayer = delegateData.m_Network->AddTransposeLayer(descriptor);
+    transposeLayer->SetBackendId(setBackend);
+    ARMNN_ASSERT(transposeLayer != nullptr);
+    // Permutation vector given to descriptor object
+    ARMNN_ASSERT(transposeLayer->GetNumInputSlots() == 1);
+
+    armnn::IOutputSlot& outputSlot = transposeLayer->GetOutputSlot(0);
+    outputSlot.SetTensorInfo(outputTensorInfo);
+
+    // try to connect the Constant Inputs if there are any
+    if(ProcessInputs(transposeLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk )
+    {
+        return kTfLiteError;
+    }
+
+    return Connect(transposeLayer, tfLiteContext, tfLiteNode, delegateData);
+}
+} // namespace armnnOpaqueDelegate