| // |
| // 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); |
| |
| if ( numEl > static_cast<int>(armnn::MaxNumOfTensorDimensions) ) |
| { |
| return kTfLiteError; |
| } |
| |
| // Ensure only single dimension to the permutation tensor |
| if ( TfLiteOpaqueTensorNumDims(tfLiteInputTensor1) != 1 ) |
| { |
| return kTfLiteError; |
| } |
| |
| 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; |
| } |
| |
| auto layerName = GetName(armnn::LayerType::Transpose, nodeIndex); |
| armnn::IConnectableLayer* transposeLayer = delegateData.m_Network->AddTransposeLayer(descriptor, layerName.c_str()); |
| transposeLayer->SetBackendId(setBackend); |
| ARMNN_ASSERT(transposeLayer != nullptr); |
| // Permutation vector given to descriptor object |
| if (transposeLayer->GetNumInputSlots() != 1) |
| { |
| return kTfLiteError; |
| } |
| |
| 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, nodeIndex) != kTfLiteOk) |
| { |
| return kTfLiteError; |
| } |
| |
| return Connect(transposeLayer, tfLiteContext, tfLiteNode, delegateData); |
| } |
| } // namespace armnnOpaqueDelegate |