| // |
| // Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include <tensorflow/lite/builtin_ops.h> |
| #include <tensorflow/lite/c/builtin_op_data.h> |
| #include <tensorflow/lite/c/common.h> |
| #include <tensorflow/lite/kernels/internal/tensor_ctypes.h> |
| #include <tensorflow/lite/minimal_logging.h> |
| |
| namespace armnnDelegate |
| { |
| |
| TfLiteStatus VisitReduceOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| TfLiteNode* tfLiteNode, |
| int nodeIndex, |
| int32_t reduceOperatorCode) |
| { |
| 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& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
| if (!IsValid(tfLiteContext, tfLiteInputTensor, reduceOperatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| if (!IsValid(tfLiteContext, tfLiteOutputTensor, reduceOperatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); |
| |
| // Get const axis value from model and set it to descriptor. |
| const TfLiteTensor& tfLiteAxisTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; |
| if (!IsValid(tfLiteContext, tfLiteAxisTensor, reduceOperatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const armnn::TensorInfo& axisTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteAxisTensor); |
| auto* axisTensorData = tflite::GetTensorData<int32_t>(&tfLiteAxisTensor); |
| |
| std::vector<int32_t> axis; |
| // Add axis data to vector to be converter to unsigned int and assigned to descriptor axis. |
| if (axisTensorData != nullptr) |
| { |
| for (unsigned int i = 0; i < axisTensorInfo.GetNumElements(); ++i) |
| { |
| axis.emplace_back(axisTensorData[i]); |
| } |
| } |
| else |
| { |
| for (unsigned int i = 0; i < inputTensorInfo.GetNumDimensions(); ++i) |
| { |
| axis.push_back(i); |
| } |
| } |
| |
| // Convert the axis to unsigned int and remove duplicates. |
| unsigned int rank = inputTensorInfo.GetNumDimensions(); |
| std::set<unsigned int> uniqueAxis; |
| std::transform(axis.begin(), |
| axis.end(), |
| std::inserter(uniqueAxis, uniqueAxis.begin()), |
| [rank](int i)->unsigned int{ return (i + rank) % rank; }); |
| |
| armnn::ReduceDescriptor desc; |
| desc.m_vAxis.assign(uniqueAxis.begin(), uniqueAxis.end()); |
| |
| auto* reducerParameters = reinterpret_cast<TfLiteReducerParams*>(tfLiteNode->builtin_data); |
| desc.m_KeepDims = reducerParameters->keep_dims; |
| if (reduceOperatorCode == kTfLiteBuiltinReduceMax) |
| { |
| desc.m_ReduceOperation = armnn::ReduceOperation::Max; |
| } |
| else if (reduceOperatorCode == kTfLiteBuiltinReduceMin) |
| { |
| desc.m_ReduceOperation = armnn::ReduceOperation::Min; |
| } |
| else if (reduceOperatorCode == kTfLiteBuiltinSum) |
| { |
| desc.m_ReduceOperation = armnn::ReduceOperation::Sum; |
| } |
| else if (reduceOperatorCode == kTfLiteBuiltinReduceProd) |
| { |
| desc.m_ReduceOperation = armnn::ReduceOperation::Prod; |
| } |
| else |
| { |
| TF_LITE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnDelegate: Unsupported Reduction Operator #%d node #%d: ", |
| reduceOperatorCode, nodeIndex); |
| return kTfLiteError; |
| } |
| |
| bool isSupported = false; |
| armnn::BackendId setBackend; |
| auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported) |
| { |
| FORWARD_LAYER_SUPPORT_FUNC("REDUCE", |
| tfLiteContext, |
| IsReduceSupported, |
| delegateData.m_Backends, |
| isSupported, |
| setBackend, |
| inputTensorInfo, |
| outInfo, |
| desc); |
| }; |
| |
| if (!delegateData.m_Network) |
| { |
| validateFunc(outputTensorInfo, isSupported); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| // Add an Reduce layer |
| armnn::IConnectableLayer* layer = delegateData.m_Network->AddReduceLayer(desc); |
| layer->SetBackendId(setBackend); |
| ARMNN_ASSERT(layer != nullptr); |
| |
| armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); |
| outputSlot.SetTensorInfo(outputTensorInfo); |
| |
| // try to connect the Constant Inputs if there are any |
| if(ProcessInputs(layer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk ) |
| { |
| return kTfLiteError; |
| } |
| |
| // Connect |
| return Connect(layer, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnDelegate |