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