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 | |
Jan Eilers | e339bf6 | 2020-11-10 18:43:23 +0000 | [diff] [blame] | 8 | #include "DelegateUtils.hpp" |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 9 | #include <armnn/utility/IgnoreUnused.hpp> |
Jan Eilers | e339bf6 | 2020-11-10 18:43:23 +0000 | [diff] [blame] | 10 | |
| 11 | #include <armnn/Descriptors.hpp> |
| 12 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 13 | #include <tensorflow/lite/builtin_ops.h> |
| 14 | #include <tensorflow/lite/c/builtin_op_data.h> |
| 15 | #include <tensorflow/lite/c/common.h> |
| 16 | #include <tensorflow/lite/minimal_logging.h> |
Jan Eilers | e339bf6 | 2020-11-10 18:43:23 +0000 | [diff] [blame] | 17 | #include <tensorflow/lite/kernels/internal/tensor_ctypes.h> |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 18 | |
| 19 | namespace armnnDelegate |
| 20 | { |
| 21 | |
Jan Eilers | e339bf6 | 2020-11-10 18:43:23 +0000 | [diff] [blame] | 22 | |
| 23 | |
| 24 | TfLiteStatus ValidateResizeOperator(DelegateData& delegateData, |
| 25 | TfLiteContext* tfLiteContext, |
| 26 | const armnn::TensorInfo& inputInfo, |
| 27 | const armnn::TensorInfo& outputInfo, |
| 28 | const armnn::ResizeDescriptor& descriptor) |
| 29 | { |
| 30 | bool isSupported = false; |
Sadik Armagan | bfa767c | 2022-02-09 14:58:03 +0000 | [diff] [blame] | 31 | FORWARD_LAYER_SUPPORT_FUNC("RESIZE", |
Jan Eilers | e339bf6 | 2020-11-10 18:43:23 +0000 | [diff] [blame] | 32 | tfLiteContext, |
| 33 | IsResizeSupported, |
| 34 | delegateData.m_Backends, |
| 35 | isSupported, |
| 36 | inputInfo, |
| 37 | outputInfo, |
| 38 | descriptor); |
| 39 | |
| 40 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 41 | } |
| 42 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 43 | TfLiteStatus VisitResizeOperator(DelegateData& delegateData, |
| 44 | TfLiteContext* tfLiteContext, |
| 45 | TfLiteNode* tfLiteNode, |
| 46 | int nodeIndex, |
| 47 | int32_t resizeOperatorCode) |
| 48 | { |
Jan Eilers | e339bf6 | 2020-11-10 18:43:23 +0000 | [diff] [blame] | 49 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| 50 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 51 | |
| 52 | const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| 53 | |
| 54 | // The first input contains the data of the image that should be resized [batch, height, width, channels] |
| 55 | const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
| 56 | if (IsDynamicTensor(tfLiteInputTensor)) |
| 57 | { |
| 58 | TF_LITE_MAYBE_KERNEL_LOG( |
| 59 | tfLiteContext, |
| 60 | "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| 61 | resizeOperatorCode, nodeIndex); |
| 62 | return kTfLiteError; |
| 63 | } |
| 64 | |
| 65 | // The second input contains a size tensor. The size tensor contains two integer values |
| 66 | // that describe the new height and width of the image [new_height, new_width] |
| 67 | const TfLiteTensor& tfLiteSizeTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; |
| 68 | if (IsDynamicTensor(tfLiteSizeTensor)) |
| 69 | { |
| 70 | TF_LITE_MAYBE_KERNEL_LOG( |
| 71 | tfLiteContext, |
| 72 | "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| 73 | resizeOperatorCode, nodeIndex); |
| 74 | return kTfLiteError; |
| 75 | } |
| 76 | |
| 77 | // The output tensor should have the shape [batch, new_height, new_width, channels] |
| 78 | const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| 79 | if (IsDynamicTensor(tfLiteOutputTensor)) |
| 80 | { |
| 81 | TF_LITE_MAYBE_KERNEL_LOG( |
| 82 | tfLiteContext, |
| 83 | "TfLiteArmnnDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ", |
| 84 | resizeOperatorCode, nodeIndex); |
| 85 | return kTfLiteError; |
| 86 | } |
| 87 | |
| 88 | const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
Jan Eilers | e339bf6 | 2020-11-10 18:43:23 +0000 | [diff] [blame] | 89 | const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); |
| 90 | |
| 91 | std::string layerName("Resize"); |
| 92 | |
| 93 | // Fill descriptor |
| 94 | armnn::ResizeDescriptor desc; |
| 95 | switch (resizeOperatorCode) |
| 96 | { |
| 97 | case kTfLiteBuiltinResizeBilinear: |
| 98 | { |
| 99 | desc.m_Method = armnn::ResizeMethod::Bilinear; |
| 100 | |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 101 | layerName += "Bilinear:" + std::to_string(nodeIndex); |
Jan Eilers | e339bf6 | 2020-11-10 18:43:23 +0000 | [diff] [blame] | 102 | |
| 103 | TfLiteResizeBilinearParams* biliniarOptions = |
| 104 | reinterpret_cast<TfLiteResizeBilinearParams*>(tfLiteNode->builtin_data); |
| 105 | |
| 106 | desc.m_AlignCorners = biliniarOptions->align_corners; |
| 107 | desc.m_HalfPixelCenters = biliniarOptions->half_pixel_centers; |
| 108 | break; |
| 109 | } |
| 110 | case kTfLiteBuiltinResizeNearestNeighbor: |
| 111 | { |
| 112 | desc.m_Method = armnn::ResizeMethod::NearestNeighbor; |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 113 | layerName += "NearestNeighbor:" + std::to_string(nodeIndex); |
Jan Eilers | e339bf6 | 2020-11-10 18:43:23 +0000 | [diff] [blame] | 114 | |
| 115 | TfLiteResizeNearestNeighborParams* nearestNeighborOptions = |
| 116 | reinterpret_cast<TfLiteResizeNearestNeighborParams*>(tfLiteNode->builtin_data); |
| 117 | |
| 118 | desc.m_AlignCorners = nearestNeighborOptions->align_corners; |
| 119 | desc.m_HalfPixelCenters = nearestNeighborOptions->half_pixel_centers; |
| 120 | break; |
| 121 | } |
| 122 | default: |
| 123 | { |
| 124 | TF_LITE_MAYBE_KERNEL_LOG( |
| 125 | tfLiteContext, |
| 126 | "TfLiteArmnnDelegate: Unknown TfLite built in operation for Resize. Given operator: #%d node #%d: ", |
| 127 | resizeOperatorCode, nodeIndex); |
| 128 | return kTfLiteError; |
| 129 | } |
| 130 | } |
| 131 | |
| 132 | // In armnn the values of the size input tensor [new_hight, new_width] is saved in the operator |
| 133 | // descriptor. We have to read it from the input tensor and write it to the descriptor. |
| 134 | |
| 135 | auto* sizeTensorDataPtr = tflite::GetTensorData<int32_t>(&tfLiteSizeTensor); |
| 136 | auto sizeTensorNumDimensions = tfLiteSizeTensor.dims->size; |
| 137 | // The size tensor is only a 1D tensor -> [new_hight, new width] |
| 138 | if (sizeTensorNumDimensions != 1) |
| 139 | { |
| 140 | TF_LITE_MAYBE_KERNEL_LOG( |
| 141 | tfLiteContext, |
| 142 | "TfLiteArmnnDelegate: The Size-Input-Tensor of the Resize operation is not allowed to be a " |
| 143 | "dynamic tensor. Operator: #%d node #%d: ", |
| 144 | resizeOperatorCode, nodeIndex); |
| 145 | return kTfLiteError; |
| 146 | } |
| 147 | |
| 148 | // Get number of values in the size tensor |
| 149 | auto sizeTensorNumValues = tfLiteSizeTensor.dims->data[0]; |
| 150 | if (sizeTensorNumValues == 0) |
| 151 | { |
| 152 | TF_LITE_MAYBE_KERNEL_LOG( |
| 153 | tfLiteContext, |
| 154 | "TfLiteArmnnDelegate: The Size-Input-Tensor of the Resize operation is not allowed to be a " |
| 155 | "dynamic tensor. Operator: #%d node #%d: ", |
| 156 | resizeOperatorCode, nodeIndex); |
| 157 | return kTfLiteError; |
| 158 | } |
| 159 | else if (sizeTensorNumValues != 2) |
| 160 | { |
| 161 | TF_LITE_MAYBE_KERNEL_LOG( |
| 162 | tfLiteContext, |
| 163 | "TfLiteArmnnDelegate: The Size-Input-Tensor of the Resize operation requires to " |
| 164 | "have a dimension of 2 [new_hight, new width] but a tensor with a dimension of #%d was given. " |
| 165 | "Operator: #%d node #%d: ", |
| 166 | sizeTensorNumValues, resizeOperatorCode, nodeIndex); |
| 167 | return kTfLiteError; |
| 168 | } |
| 169 | // get size tensor data |
| 170 | std::vector<int32_t> sizeTensorData(sizeTensorDataPtr, sizeTensorDataPtr+sizeTensorNumValues); |
| 171 | |
| 172 | desc.m_TargetHeight = static_cast<uint32_t> (sizeTensorData[0]); |
| 173 | desc.m_TargetWidth = static_cast<uint32_t> (sizeTensorData[1]); |
| 174 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 175 | |
| 176 | // No network pointer indicates that only support for this operator should be checked |
| 177 | if (!delegateData.m_Network) |
| 178 | { |
| 179 | return ValidateResizeOperator(delegateData, |
| 180 | tfLiteContext, |
| 181 | inputTensorInfo, |
| 182 | outputTensorInfo, |
| 183 | desc); |
| 184 | } |
| 185 | |
| 186 | |
| 187 | armnn::IConnectableLayer* resizeLayer = nullptr; |
| 188 | resizeLayer = delegateData.m_Network->AddResizeLayer(desc, layerName.c_str()); |
| 189 | |
| 190 | armnn::IOutputSlot& outputSlot = resizeLayer->GetOutputSlot(0); |
| 191 | outputSlot.SetTensorInfo(outputTensorInfo); |
| 192 | |
| 193 | ARMNN_ASSERT(resizeLayer != nullptr); |
| 194 | |
| 195 | return Connect(resizeLayer, tfLiteNode, delegateData); |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 196 | } |
| 197 | |
| 198 | } // namespace armnnDelegate |