diff options
Diffstat (limited to 'delegate/src/Normalization.hpp')
| -rw-r--r-- | delegate/src/Normalization.hpp | 137 |
1 files changed, 124 insertions, 13 deletions
diff --git a/delegate/src/Normalization.hpp b/delegate/src/Normalization.hpp index 4c18b364cc..68ff3af32d 100644 --- a/delegate/src/Normalization.hpp +++ b/delegate/src/Normalization.hpp @@ -5,8 +5,6 @@ #pragma once -#include <armnn/utility/IgnoreUnused.hpp> - #include <tensorflow/lite/builtin_ops.h> #include <tensorflow/lite/c/builtin_op_data.h> #include <tensorflow/lite/c/common.h> @@ -15,19 +13,132 @@ namespace armnnDelegate { -TfLiteStatus VisitNormalizationOperator(DelegateData& delegateData, - TfLiteContext* tfLiteContext, - TfLiteNode* tfLiteNode, - int nodeIndex, - int32_t normalizationOperatorCode) +TfLiteStatus VisitL2NormalizationOperator(DelegateData& delegateData, + TfLiteContext* tfLiteContext, + TfLiteNode* tfLiteNode, + int nodeIndex, + int32_t operatorCode) +{ + TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + + const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; + const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; + if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; + if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); + + armnn::L2NormalizationDescriptor descriptor; + descriptor.m_DataLayout = armnn::DataLayout::NHWC; + + bool isSupported = false; + auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported) + { + FORWARD_LAYER_SUPPORT_FUNC(__func__, + tfLiteContext, + IsL2NormalizationSupported, + delegateData.m_Backends, + isSupported, + inputTensorInfo, + outInfo, + descriptor); + }; + + if (!delegateData.m_Network) + { + validateFunc(outputTensorInfo, isSupported); + return isSupported ? kTfLiteOk : kTfLiteError; + } + + // Add a L2Normalization layer + armnn::IConnectableLayer* layer = delegateData.m_Network->AddL2NormalizationLayer(descriptor); + ARMNN_ASSERT(layer != nullptr); + + armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); + outputSlot.SetTensorInfo(outputTensorInfo); + + // Connect + return Connect(layer, tfLiteNode, delegateData); +} + + +TfLiteStatus VisitLocalResponseNormalizationOperator(DelegateData& delegateData, + TfLiteContext* tfLiteContext, + TfLiteNode* tfLiteNode, + int nodeIndex, + int32_t normalizationOperatorCode) { - armnn::IgnoreUnused(delegateData, - tfLiteContext, - tfLiteNode, - nodeIndex, - normalizationOperatorCode); + TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + + const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; + const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; + if (!IsValid(tfLiteContext, tfLiteInputTensor, normalizationOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; + if (!IsValid(tfLiteContext, tfLiteOutputTensor, normalizationOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); + + armnn::NormalizationDescriptor descriptor; + descriptor.m_DataLayout = armnn::DataLayout::NHWC; + descriptor.m_NormChannelType = armnn::NormalizationAlgorithmChannel::Across; + descriptor.m_NormMethodType = armnn::NormalizationAlgorithmMethod::LocalBrightness; + + auto* params = reinterpret_cast<TfLiteLocalResponseNormParams*>(tfLiteNode->builtin_data); + descriptor.m_NormSize = params->radius; + descriptor.m_K = params->bias; + descriptor.m_Alpha = params->alpha; + descriptor.m_Beta = params->beta; + + // ArmNN expects normSize to be the full size of the normalization window + descriptor.m_NormSize = 1 + (2 * descriptor.m_NormSize); + + bool isSupported = false; + auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported) + { + FORWARD_LAYER_SUPPORT_FUNC(__func__, + tfLiteContext, + IsNormalizationSupported, + delegateData.m_Backends, + isSupported, + inputTensorInfo, + outInfo, + descriptor); + }; + + if (!delegateData.m_Network) + { + validateFunc(outputTensorInfo, isSupported); + return isSupported ? kTfLiteOk : kTfLiteError; + } + + // Add a Normalization layer + armnn::IConnectableLayer* layer = delegateData.m_Network->AddNormalizationLayer(descriptor); + ARMNN_ASSERT(layer != nullptr); + + armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); + outputSlot.SetTensorInfo(outputTensorInfo); - return kTfLiteError; + // Connect + return Connect(layer, tfLiteNode, delegateData); } } // namespace armnnDelegate |