Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 8 | #include "DelegateUtils.hpp" |
| 9 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 10 | #include <tensorflow/lite/builtin_ops.h> |
| 11 | #include <tensorflow/lite/c/builtin_op_data.h> |
| 12 | #include <tensorflow/lite/c/common.h> |
| 13 | #include <tensorflow/lite/minimal_logging.h> |
| 14 | |
| 15 | namespace armnnDelegate |
| 16 | { |
| 17 | |
| 18 | TfLiteStatus VisitPoolingOperator(DelegateData& delegateData, |
| 19 | TfLiteContext* tfLiteContext, |
| 20 | TfLiteNode* tfLiteNode, |
| 21 | int nodeIndex, |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 22 | int32_t tfLitePoolingOperatorCode) |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 23 | { |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 24 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 25 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 26 | |
| 27 | const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| 28 | const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
| 29 | if (IsDynamicTensor(tfLiteInputTensor)) |
| 30 | { |
| 31 | TF_LITE_MAYBE_KERNEL_LOG( |
| 32 | tfLiteContext, |
| 33 | "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| 34 | tfLitePoolingOperatorCode, nodeIndex); |
| 35 | return kTfLiteError; |
| 36 | } |
| 37 | |
| 38 | const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| 39 | if (IsDynamicTensor(tfLiteOutputTensor)) |
| 40 | { |
| 41 | TF_LITE_MAYBE_KERNEL_LOG( |
| 42 | tfLiteContext, |
| 43 | "TfLiteArmnnDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ", |
| 44 | tfLitePoolingOperatorCode, nodeIndex); |
| 45 | return kTfLiteError; |
| 46 | } |
| 47 | |
| 48 | const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| 49 | const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); |
| 50 | |
| 51 | armnn::PoolingAlgorithm poolingAlgorithm; |
| 52 | switch(tfLitePoolingOperatorCode) |
| 53 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 54 | case kTfLiteBuiltinAveragePool2d: |
| 55 | poolingAlgorithm = armnn::PoolingAlgorithm::Average; |
| 56 | break; |
| 57 | case kTfLiteBuiltinL2Pool2d: |
| 58 | poolingAlgorithm = armnn::PoolingAlgorithm::L2; |
| 59 | break; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 60 | case kTfLiteBuiltinMaxPool2d: |
| 61 | poolingAlgorithm = armnn::PoolingAlgorithm::Max; |
| 62 | break; |
| 63 | default: |
| 64 | return kTfLiteError; |
| 65 | } |
| 66 | |
| 67 | armnn::Pooling2dDescriptor descriptor; |
| 68 | descriptor.m_PoolType = poolingAlgorithm; |
| 69 | |
| 70 | auto* params = reinterpret_cast<TfLitePoolParams*>(tfLiteNode->builtin_data); |
| 71 | descriptor.m_PoolWidth = params->filter_width; |
| 72 | descriptor.m_PoolHeight = params->filter_height; |
| 73 | descriptor.m_StrideX = params->stride_width; |
| 74 | descriptor.m_StrideY = params->stride_height; |
| 75 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 76 | |
| 77 | unsigned int inputHeight = inputTensorInfo.GetShape()[1]; |
| 78 | unsigned int inputWidth = inputTensorInfo.GetShape()[2]; |
| 79 | |
| 80 | CalcPadding(inputHeight, descriptor.m_PoolHeight, descriptor.m_StrideY, 1u, |
| 81 | descriptor.m_PadTop, descriptor.m_PadBottom, params->padding); |
| 82 | CalcPadding(inputWidth, descriptor.m_PoolWidth, descriptor.m_StrideX, 1u, |
| 83 | descriptor.m_PadLeft, descriptor.m_PadRight, params->padding); |
| 84 | |
| 85 | bool isSupported = false; |
| 86 | auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) |
| 87 | { |
| 88 | FORWARD_LAYER_SUPPORT_FUNC(__func__, |
| 89 | tfLiteContext, |
| 90 | IsPooling2dSupported, |
| 91 | delegateData.m_Backends, |
| 92 | isSupported, |
| 93 | inputTensorInfo, |
| 94 | outputTensorInfo, |
| 95 | descriptor); |
| 96 | }; |
| 97 | |
| 98 | if (!delegateData.m_Network) |
| 99 | { |
| 100 | validateFunc(outputTensorInfo, isSupported); |
| 101 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 102 | } |
| 103 | |
| 104 | armnn::IConnectableLayer* poolingLayer = delegateData.m_Network->AddPooling2dLayer(descriptor); |
| 105 | ARMNN_ASSERT(poolingLayer != nullptr); |
| 106 | |
| 107 | armnn::IOutputSlot& outputSlot = poolingLayer->GetOutputSlot(0); |
| 108 | outputSlot.SetTensorInfo(outputTensorInfo); |
| 109 | Connect(poolingLayer, tfLiteNode, delegateData); |
| 110 | |
| 111 | // Check activation |
| 112 | TfLiteFusedActivation activationType = params->activation; |
| 113 | return FusedActivation(tfLiteContext, tfLiteNode, activationType, poolingLayer, 0, delegateData); |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 114 | } |
| 115 | |
| 116 | } // namespace armnnDelegate |