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Diffstat (limited to 'delegate/opaque/src/Reduce.hpp')
| -rw-r--r-- | delegate/opaque/src/Reduce.hpp | 163 |
1 files changed, 163 insertions, 0 deletions
diff --git a/delegate/opaque/src/Reduce.hpp b/delegate/opaque/src/Reduce.hpp index e16969768e..afea7aafb0 100644 --- a/delegate/opaque/src/Reduce.hpp +++ b/delegate/opaque/src/Reduce.hpp @@ -2,3 +2,166 @@ // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // +#pragma once + +#include <OpaqueDelegateUtils.hpp> + +namespace armnnOpaqueDelegate +{ + +TfLiteStatus VisitReduceOperator(DelegateData& delegateData, + TfLiteOpaqueContext* tfLiteContext, + TfLiteOpaqueNode* tfLiteNode, + int nodeIndex, + int32_t reduceOperatorCode) +{ + 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. + auto numInputs = TfLiteOpaqueNodeNumberOfInputs(tfLiteNode); + const int* inputTensors; + 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* tfLiteInputTensor = + TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); + if (!IsValid(tfLiteContext, tfLiteInputTensor, reduceOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const TfLiteOpaqueTensor* tfLiteAxisTensor = + TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]); + if (!IsValid(tfLiteContext, tfLiteAxisTensor, reduceOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + // Gather output indices and use to get output tensors. + int numOutputs = 0; + const int* outputTensors; + 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, reduceOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor); + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true); + + // Get const axis value from model and set it to descriptor. + const armnn::TensorInfo& axisTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteAxisTensor); + auto* axisTensorData = static_cast<int*>(TfLiteOpaqueTensorData(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*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode)); + 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_OPAQUE_MAYBE_KERNEL_LOG( + tfLiteContext, + "TfLiteArmnnOpaqueDelegate: 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_OPAQUE_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, tfLiteContext, tfLiteNode, delegateData); +} + +} // namespace armnnOpaqueDelegate |