Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <tensorflow/lite/builtin_ops.h> |
| 9 | #include <tensorflow/lite/c/builtin_op_data.h> |
| 10 | #include <tensorflow/lite/c/common.h> |
| 11 | #include <tensorflow/lite/kernels/internal/tensor_ctypes.h> |
| 12 | #include <tensorflow/lite/minimal_logging.h> |
| 13 | |
| 14 | namespace armnnDelegate |
| 15 | { |
| 16 | |
| 17 | TfLiteStatus VisitReduceOperator(DelegateData& delegateData, |
| 18 | TfLiteContext* tfLiteContext, |
| 19 | TfLiteNode* tfLiteNode, |
| 20 | int nodeIndex, |
| 21 | int32_t reduceOperatorCode) |
| 22 | { |
| 23 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| 24 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 25 | |
| 26 | const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| 27 | const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
| 28 | if (!IsValid(tfLiteContext, tfLiteInputTensor, reduceOperatorCode, nodeIndex)) |
| 29 | { |
| 30 | return kTfLiteError; |
| 31 | } |
| 32 | |
| 33 | const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| 34 | if (!IsValid(tfLiteContext, tfLiteOutputTensor, reduceOperatorCode, nodeIndex)) |
| 35 | { |
| 36 | return kTfLiteError; |
| 37 | } |
| 38 | |
| 39 | const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| 40 | const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); |
| 41 | |
| 42 | // Get const axis value from model and set it to descriptor. |
| 43 | const TfLiteTensor& tfLiteAxisTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; |
| 44 | if (!IsValid(tfLiteContext, tfLiteAxisTensor, reduceOperatorCode, nodeIndex)) |
| 45 | { |
| 46 | return kTfLiteError; |
| 47 | } |
| 48 | |
| 49 | const armnn::TensorInfo& axisTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteAxisTensor); |
| 50 | auto* axisTensorData = tflite::GetTensorData<int32_t>(&tfLiteAxisTensor); |
| 51 | |
| 52 | std::vector<int32_t> axis; |
| 53 | // Add axis data to vector to be converter to unsigned int and assigned to descriptor axis. |
| 54 | if (axisTensorData != nullptr) |
| 55 | { |
| 56 | for (unsigned int i = 0; i < axisTensorInfo.GetNumElements(); ++i) |
| 57 | { |
| 58 | axis.emplace_back(axisTensorData[i]); |
| 59 | } |
| 60 | } |
| 61 | else |
| 62 | { |
| 63 | for (unsigned int i = 0; i < inputTensorInfo.GetNumDimensions(); ++i) |
| 64 | { |
| 65 | axis.push_back(i); |
| 66 | } |
| 67 | } |
| 68 | |
| 69 | // Convert the axis to unsigned int and remove duplicates. |
| 70 | unsigned int rank = inputTensorInfo.GetNumDimensions(); |
| 71 | std::set<unsigned int> uniqueAxis; |
| 72 | std::transform(axis.begin(), |
| 73 | axis.end(), |
| 74 | std::inserter(uniqueAxis, uniqueAxis.begin()), |
| 75 | [rank](int i)->unsigned int{ return (i + rank) % rank; }); |
| 76 | |
| 77 | armnn::ReduceDescriptor desc; |
| 78 | desc.m_vAxis.assign(uniqueAxis.begin(), uniqueAxis.end()); |
| 79 | |
| 80 | auto* reducerParameters = reinterpret_cast<TfLiteReducerParams*>(tfLiteNode->builtin_data); |
| 81 | desc.m_KeepDims = reducerParameters->keep_dims; |
| 82 | if (reduceOperatorCode == kTfLiteBuiltinReduceMax) |
| 83 | { |
| 84 | desc.m_ReduceOperation = armnn::ReduceOperation::Max; |
| 85 | } |
| 86 | else if (reduceOperatorCode == kTfLiteBuiltinReduceMin) |
| 87 | { |
| 88 | desc.m_ReduceOperation = armnn::ReduceOperation::Min; |
| 89 | } |
| 90 | else if (reduceOperatorCode == kTfLiteBuiltinSum) |
| 91 | { |
| 92 | desc.m_ReduceOperation = armnn::ReduceOperation::Sum; |
| 93 | } |
Teresa Charlin | 4e3e831 | 2021-08-05 12:34:37 +0100 | [diff] [blame] | 94 | else if (reduceOperatorCode == kTfLiteBuiltinReduceProd) |
| 95 | { |
| 96 | desc.m_ReduceOperation = armnn::ReduceOperation::Prod; |
| 97 | } |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 98 | else |
| 99 | { |
| 100 | TF_LITE_MAYBE_KERNEL_LOG( |
| 101 | tfLiteContext, |
| 102 | "TfLiteArmnnDelegate: Unsupported Reduction Operator #%d node #%d: ", |
| 103 | reduceOperatorCode, nodeIndex); |
| 104 | return kTfLiteError; |
| 105 | } |
| 106 | |
| 107 | bool isSupported = false; |
| 108 | auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported) |
| 109 | { |
| 110 | FORWARD_LAYER_SUPPORT_FUNC(__func__, |
| 111 | tfLiteContext, |
| 112 | IsReduceSupported, |
| 113 | delegateData.m_Backends, |
| 114 | isSupported, |
| 115 | inputTensorInfo, |
| 116 | outInfo, |
| 117 | desc); |
| 118 | }; |
| 119 | |
| 120 | if (!delegateData.m_Network) |
| 121 | { |
| 122 | validateFunc(outputTensorInfo, isSupported); |
| 123 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 124 | } |
| 125 | |
| 126 | // Add an Reduce layer |
| 127 | armnn::IConnectableLayer* layer = delegateData.m_Network->AddReduceLayer(desc); |
| 128 | ARMNN_ASSERT(layer != nullptr); |
| 129 | |
| 130 | armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); |
| 131 | outputSlot.SetTensorInfo(outputTensorInfo); |
| 132 | |
| 133 | // Connect |
| 134 | return Connect(layer, tfLiteNode, delegateData); |
| 135 | } |
| 136 | |
| 137 | } // namespace armnnDelegate |