Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 1 | // |
Mike Kelly | 04d8229 | 2023-01-19 18:29:40 +0000 | [diff] [blame] | 2 | // Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved. |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
Matthew Sloyan | 1157232 | 2023-03-16 10:17:51 +0000 | [diff] [blame] | 8 | #include <ClassicDelegateUtils.hpp> |
| 9 | |
Mike Kelly | 04d8229 | 2023-01-19 18:29:40 +0000 | [diff] [blame] | 10 | #include "armnnUtils/TensorUtils.hpp" |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 11 | #include <armnn/utility/IgnoreUnused.hpp> |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 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> |
| 17 | |
| 18 | namespace armnnDelegate |
| 19 | { |
| 20 | |
| 21 | TfLiteStatus VisitFullyConnectedOperator(DelegateData& delegateData, |
| 22 | TfLiteContext* tfLiteContext, |
| 23 | TfLiteNode* tfLiteNode, |
| 24 | int nodeIndex, |
| 25 | int32_t operatorCode) |
| 26 | { |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 27 | auto numInputs = tfLiteNode->inputs->size; |
| 28 | if (numInputs < 2) |
| 29 | { |
| 30 | TF_LITE_MAYBE_KERNEL_LOG( |
| 31 | tfLiteContext, "TfLiteArmnnDelegate: Minimum number of inputs (%d != %d) in node #%d", |
| 32 | 2, numInputs, nodeIndex); |
| 33 | return kTfLiteError; |
| 34 | } |
| 35 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
Mike Kelly | 84d6378 | 2022-05-06 12:14:16 +0100 | [diff] [blame] | 36 | bool biasEnabled = IsOptionalOperandPresent(tfLiteNode, 2); |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 37 | |
| 38 | const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| 39 | const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 40 | if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex)) |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 41 | { |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 42 | return kTfLiteError; |
| 43 | } |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 44 | |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 45 | const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 46 | if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 47 | { |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 48 | return kTfLiteError; |
| 49 | } |
| 50 | |
| 51 | const TfLiteTensor& tfLiteWeightsTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 52 | if (!IsValid(tfLiteContext, tfLiteWeightsTensor, operatorCode, nodeIndex)) |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 53 | { |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 54 | return kTfLiteError; |
| 55 | } |
| 56 | |
Mike Kelly | 84d6378 | 2022-05-06 12:14:16 +0100 | [diff] [blame] | 57 | const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
Ryan OShea | 4c231de | 2023-01-17 15:19:20 +0000 | [diff] [blame] | 58 | const armnn::TensorInfo& weightsTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteWeightsTensor); |
Sadik Armagan | 90a119b | 2022-08-05 16:12:49 +0100 | [diff] [blame] | 59 | const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 60 | |
Ryan OShea | 3ad2e14 | 2023-01-13 10:19:20 +0000 | [diff] [blame] | 61 | // Check that we support fused activation before we attempt to create a layer |
| 62 | auto* tfLiteNodeParameters = reinterpret_cast<TfLiteFullyConnectedParams *>(tfLiteNode->builtin_data); |
Ryan OShea | 475c7a8 | 2023-01-30 14:24:15 +0000 | [diff] [blame] | 63 | TfLiteFusedActivation activationType=kTfLiteActNone; |
Ryan OShea | 3ad2e14 | 2023-01-13 10:19:20 +0000 | [diff] [blame] | 64 | if (tfLiteNodeParameters) |
| 65 | { |
| 66 | activationType = tfLiteNodeParameters->activation; |
Ryan OShea | 3ad2e14 | 2023-01-13 10:19:20 +0000 | [diff] [blame] | 67 | TfLiteStatus activationStatus = ValidateFusedActivationOperator(delegateData, tfLiteContext, outputTensorInfo, |
| 68 | outputTensorInfo, activationType); |
| 69 | if(activationStatus != kTfLiteOk) |
| 70 | { |
| 71 | return kTfLiteError; |
| 72 | } |
| 73 | } |
| 74 | |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 75 | // Fully Connected Layer accepts two dimensional weights input |
| 76 | int32_t weightsDimension = static_cast<int32_t>(weightsTensorInfo.GetNumDimensions()); |
| 77 | if (weightsDimension != 2) |
| 78 | { |
| 79 | TF_LITE_MAYBE_KERNEL_LOG( |
| 80 | tfLiteContext, |
| 81 | "TfLiteArmnnDelegate: Dimension #$d for Fully Connected weights is not supported by Armnn" |
| 82 | " in operator #%d node #%d: ", weightsDimension, operatorCode, nodeIndex); |
| 83 | return kTfLiteError; |
| 84 | } |
| 85 | |
| 86 | armnn::TensorInfo biasTensorInfo; |
| 87 | if (biasEnabled) |
| 88 | { |
| 89 | const TfLiteTensor& tfLiteBiasTensor = tfLiteTensors[tfLiteNode->inputs->data[2]]; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 90 | if (!IsValid(tfLiteContext, tfLiteBiasTensor, operatorCode, nodeIndex)) |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 91 | { |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 92 | return kTfLiteError; |
| 93 | } |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 94 | biasTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteBiasTensor); |
| 95 | } |
| 96 | else |
| 97 | { |
| 98 | biasTensorInfo = armnn::TensorInfo(armnn::TensorShape({1}), GetDataType(tfLiteInputTensor)); |
| 99 | } |
| 100 | |
Narumol Prangnawarat | 55518ca | 2020-11-20 14:50:54 +0000 | [diff] [blame] | 101 | armnn::TensorInfo reshapedTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
Narumol Prangnawarat | 55518ca | 2020-11-20 14:50:54 +0000 | [diff] [blame] | 102 | if (inputTensorInfo.GetNumDimensions() > 2) |
| 103 | { |
| 104 | // Calculate reshape to flatten to 2D [batch_size, input_size] |
| 105 | std::vector<unsigned int> reshapedDimensions(2); |
| 106 | reshapedDimensions[1] = weightsTensorInfo.GetShape()[1]; |
| 107 | reshapedDimensions[0] = inputTensorInfo.GetNumElements() / reshapedDimensions[1]; |
| 108 | |
| 109 | if (inputTensorInfo.GetNumElements() % reshapedDimensions[1] != 0) |
| 110 | { |
| 111 | TF_LITE_MAYBE_KERNEL_LOG( |
| 112 | tfLiteContext, |
| 113 | "TfLiteArmnnDelegate: Failed to deduce input tensor shape from filter size #%d #%d node #%d: ", |
| 114 | reshapedDimensions[1], operatorCode, nodeIndex); |
| 115 | return kTfLiteError; |
| 116 | } |
| 117 | |
| 118 | reshapedTensorInfo.SetShape(armnn::TensorShape{ 2, reshapedDimensions.data() }); |
| 119 | } |
Mike Kelly | 04d8229 | 2023-01-19 18:29:40 +0000 | [diff] [blame] | 120 | armnn::TensorInfo reshapedOutputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); |
| 121 | |
| 122 | if (outputTensorInfo.GetNumDimensions() > 2) |
| 123 | { |
| 124 | // Calculate reshape to flatten to 2D [batch_size, input_size] |
| 125 | std::vector<unsigned int> reshapedDimensions(2); |
| 126 | reshapedDimensions[1] = weightsTensorInfo.GetShape()[0]; |
| 127 | reshapedDimensions[0] = outputTensorInfo.GetNumElements() / reshapedDimensions[1]; |
| 128 | |
| 129 | if (outputTensorInfo.GetNumElements() % reshapedDimensions[1] != 0) |
| 130 | { |
| 131 | TF_LITE_MAYBE_KERNEL_LOG( |
| 132 | tfLiteContext, |
| 133 | "TfLiteArmnnDelegate: Failed to deduce output tensor shape from filter size #%d #%d node #%d: ", |
| 134 | reshapedDimensions[1], operatorCode, nodeIndex); |
| 135 | return kTfLiteError; |
| 136 | } |
| 137 | reshapedOutputTensorInfo.SetShape(armnn::TensorShape{ 2, reshapedDimensions.data() }); |
| 138 | } |
Narumol Prangnawarat | 55518ca | 2020-11-20 14:50:54 +0000 | [diff] [blame] | 139 | |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 140 | armnn::FullyConnectedDescriptor descriptor; |
| 141 | descriptor.m_TransposeWeightMatrix = true; |
| 142 | descriptor.m_BiasEnabled = biasEnabled; |
Ryan OShea | 4c231de | 2023-01-17 15:19:20 +0000 | [diff] [blame] | 143 | descriptor.m_ConstantWeights = weightsTensorInfo.IsConstant(); |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 144 | |
| 145 | bool isSupported = false; |
Cathal Corbett | 5383767 | 2022-09-01 11:34:37 +0100 | [diff] [blame] | 146 | armnn::BackendId setBackend; |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 147 | auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) |
| 148 | { |
Mike Kelly | 04d8229 | 2023-01-19 18:29:40 +0000 | [diff] [blame] | 149 | |
Sadik Armagan | bfa767c | 2022-02-09 14:58:03 +0000 | [diff] [blame] | 150 | FORWARD_LAYER_SUPPORT_FUNC("FULLY_CONNECTED", |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 151 | tfLiteContext, |
| 152 | IsFullyConnectedSupported, |
| 153 | delegateData.m_Backends, |
| 154 | isSupported, |
Cathal Corbett | 5383767 | 2022-09-01 11:34:37 +0100 | [diff] [blame] | 155 | setBackend, |
Narumol Prangnawarat | 55518ca | 2020-11-20 14:50:54 +0000 | [diff] [blame] | 156 | reshapedTensorInfo, |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 157 | outputTensorInfo, |
| 158 | weightsTensorInfo, |
| 159 | biasTensorInfo, |
| 160 | descriptor); |
| 161 | }; |
| 162 | |
| 163 | if (!delegateData.m_Network) |
| 164 | { |
Mike Kelly | 04d8229 | 2023-01-19 18:29:40 +0000 | [diff] [blame] | 165 | validateFunc(reshapedOutputTensorInfo, isSupported); |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 166 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 167 | } |
| 168 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 169 | armnn::IConnectableLayer* layer = delegateData.m_Network->AddFullyConnectedLayer(descriptor); |
Cathal Corbett | 5383767 | 2022-09-01 11:34:37 +0100 | [diff] [blame] | 170 | layer->SetBackendId(setBackend); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 171 | ARMNN_ASSERT(layer != nullptr); |
| 172 | |
| 173 | // Add a constant layer for weights and biases if inputs are constant. |
Ryan OShea | 4c231de | 2023-01-17 15:19:20 +0000 | [diff] [blame] | 174 | if (weightsTensorInfo.IsConstant()) |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 175 | { |
| 176 | auto weightsTensor = CreateConstTensor(&tfLiteWeightsTensor, |
Ryan OShea | 4c231de | 2023-01-17 15:19:20 +0000 | [diff] [blame] | 177 | weightsTensorInfo); |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 178 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 179 | armnn::IConnectableLayer* weightsLayer = delegateData.m_Network->AddConstantLayer(weightsTensor); |
| 180 | |
| 181 | weightsLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(1u)); |
| 182 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsTensorInfo); |
| 183 | } |
| 184 | |
| 185 | if (biasEnabled) |
| 186 | { |
| 187 | const TfLiteTensor& tfLiteBiasTensor = tfLiteTensors[tfLiteNode->inputs->data[2]]; |
Ryan OShea | 4c231de | 2023-01-17 15:19:20 +0000 | [diff] [blame] | 188 | if(biasTensorInfo.IsConstant()) |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 189 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 190 | auto biasTensor = CreateConstTensor(&tfLiteBiasTensor, |
Ryan OShea | 4c231de | 2023-01-17 15:19:20 +0000 | [diff] [blame] | 191 | biasTensorInfo); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 192 | |
| 193 | armnn::IConnectableLayer* biasLayer = delegateData.m_Network->AddConstantLayer(biasTensor); |
| 194 | ARMNN_ASSERT(biasLayer != nullptr); |
| 195 | |
| 196 | biasLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(2u)); |
| 197 | biasLayer->GetOutputSlot(0).SetTensorInfo(biasTensorInfo); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 198 | } |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 199 | } |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 200 | |
Ryan OShea | 4c231de | 2023-01-17 15:19:20 +0000 | [diff] [blame] | 201 | // The data input can also be constant, so we must check that this is also allocated to an input slot |
| 202 | if(inputTensorInfo.IsConstant()) |
| 203 | { |
| 204 | auto input = |
| 205 | CreateConstTensor(&tfLiteContext->tensors[tfLiteNode->inputs->data[0]], |
| 206 | inputTensorInfo); |
| 207 | |
| 208 | armnn::IConnectableLayer *inputLayer = delegateData.m_Network->AddConstantLayer(input); |
| 209 | inputLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(0u)); |
| 210 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 211 | } |
| 212 | |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 213 | armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); |
| 214 | outputSlot.SetTensorInfo(outputTensorInfo); |
| 215 | |
| 216 | armnn::IConnectableLayer* reshapeLayer = nullptr; |
| 217 | if (inputTensorInfo.GetNumDimensions() > 2) |
| 218 | { |
| 219 | // Add reshape to flatten to 2D [batch_size, input_size] |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 220 | armnn::ReshapeDescriptor reshapeDescriptor; |
| 221 | reshapeDescriptor.m_TargetShape = reshapedTensorInfo.GetShape(); |
| 222 | reshapeLayer = delegateData.m_Network->AddReshapeLayer(reshapeDescriptor); |
| 223 | ARMNN_ASSERT(reshapeLayer != nullptr); |
| 224 | |
| 225 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(reshapedTensorInfo); |
| 226 | |
| 227 | // Connect |
| 228 | delegateData.m_OutputSlotForNode[tfLiteNode->inputs->data[0]]->Connect(reshapeLayer->GetInputSlot(0)); |
| 229 | reshapeLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(0)); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 230 | |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 231 | if (!descriptor.m_ConstantWeights) |
| 232 | { |
| 233 | delegateData.m_OutputSlotForNode[tfLiteNode->inputs->data[1]]->Connect(layer->GetInputSlot(1)); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 234 | } |
| 235 | |
Ryan OShea | 4c231de | 2023-01-17 15:19:20 +0000 | [diff] [blame] | 236 | if (biasEnabled && !biasTensorInfo.IsConstant()) |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 237 | { |
| 238 | delegateData.m_OutputSlotForNode[tfLiteNode->inputs->data[2]]->Connect(layer->GetInputSlot(2)); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 239 | } |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 240 | delegateData.m_OutputSlotForNode[tfLiteNode->outputs->data[0]] = &outputSlot; |
| 241 | } |
| 242 | |
| 243 | if (reshapeLayer == nullptr) |
| 244 | { |
Ryan OShea | 4c231de | 2023-01-17 15:19:20 +0000 | [diff] [blame] | 245 | if(Connect(layer, tfLiteNode, delegateData) != kTfLiteOk) |
| 246 | { |
| 247 | return kTfLiteError; |
| 248 | } |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 249 | } |
Ryan OShea | 3ad2e14 | 2023-01-13 10:19:20 +0000 | [diff] [blame] | 250 | |
Mike Kelly | 04d8229 | 2023-01-19 18:29:40 +0000 | [diff] [blame] | 251 | if (outputTensorInfo.GetNumDimensions() > 2) |
| 252 | { |
| 253 | layer = AddReshapeLayer(tfLiteContext, tfLiteNode, layer, reshapedOutputTensorInfo, outputTensorInfo, |
| 254 | delegateData); |
| 255 | if (!layer) |
| 256 | { |
| 257 | TF_LITE_MAYBE_KERNEL_LOG( |
| 258 | tfLiteContext, |
| 259 | "TfLiteArmnnDelegate: Failed to add reshape for FullyConnected #%d node #%d: ", |
| 260 | operatorCode, |
| 261 | nodeIndex); |
| 262 | return kTfLiteError; |
| 263 | } |
| 264 | } |
| 265 | |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 266 | if (!tfLiteNodeParameters) |
| 267 | { |
| 268 | // No Activation |
| 269 | return kTfLiteOk; |
| 270 | } |
Ryan OShea | 3ad2e14 | 2023-01-13 10:19:20 +0000 | [diff] [blame] | 271 | |
| 272 | // Check and Create Activation |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 273 | return FusedActivation(tfLiteContext, tfLiteNode, activationType, layer, 0, delegateData); |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 274 | } |
| 275 | |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 276 | } // namespace armnnDelegate |