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Diffstat (limited to 'delegate/opaque/src/ElementwiseUnary.hpp')
| -rw-r--r-- | delegate/opaque/src/ElementwiseUnary.hpp | 135 |
1 files changed, 135 insertions, 0 deletions
diff --git a/delegate/opaque/src/ElementwiseUnary.hpp b/delegate/opaque/src/ElementwiseUnary.hpp index e16969768e..df848469b1 100644 --- a/delegate/opaque/src/ElementwiseUnary.hpp +++ b/delegate/opaque/src/ElementwiseUnary.hpp @@ -2,3 +2,138 @@ // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // + +#pragma once + +#include "OpaqueDelegateUtils.hpp" + +namespace armnnOpaqueDelegate +{ + +std::string GetLayerName(armnn::UnaryOperation unaryOperation) +{ + std::string layerName = "ELEMENTWISE_UNARY"; + switch (unaryOperation) + { + case armnn::UnaryOperation::Abs: + layerName += " ABS"; + break; + case armnn::UnaryOperation::Ceil: + layerName += " CEIL"; + break; + case armnn::UnaryOperation::Exp: + layerName += " EXP"; + break; + case armnn::UnaryOperation::Log: + layerName += " LOG"; + break; + case armnn::UnaryOperation::LogicalNot: + layerName += " LOGICALNOT"; + break; + case armnn::UnaryOperation::Neg: + layerName += " NEG"; + break; + case armnn::UnaryOperation::Rsqrt: + layerName += " RSQRT"; + break; + case armnn::UnaryOperation::Sin: + layerName += " SIN"; + break; + case armnn::UnaryOperation::Sqrt: + layerName += " SQRT"; + break; + default: + layerName += " UNKNOWN"; + } + return layerName; +} + +TfLiteStatus VisitElementwiseUnaryOperator(DelegateData& delegateData, + TfLiteOpaqueContext* tfLiteContext, + TfLiteOpaqueNode* tfLiteNode, + int nodeIndex, + int32_t tfLiteElementWiseUnaryOperatorCode, + armnn::UnaryOperation unaryOperation) +{ + TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + + // Gather input indices and use to get input tensor. + int numInputs = 0; + const int* inputTensors; + if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk) + { + TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( + tfLiteContext, + "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ", + nodeIndex); + return kTfLiteError; + } + // Use input indices to get input tensor. + const TfLiteOpaqueTensor* tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); + if (!IsValid(tfLiteContext, tfLiteInputTensor, tfLiteElementWiseUnaryOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + // Gather output indices and use to get output tensor. + int numOutputs = 0; + const int* outputTensors; + if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numOutputs) != kTfLiteOk) + { + TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( + tfLiteContext, + "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ", + nodeIndex); + return kTfLiteError; + } + // Use output indices to get output tensor. + const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]); + if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfLiteElementWiseUnaryOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor); + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true); + + armnn::ElementwiseUnaryDescriptor descriptor(unaryOperation); + bool isSupported = false; + armnn::BackendId setBackend; + auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported, std::string layerName) + { + FORWARD_LAYER_OPAQUE_SUPPORT_FUNC(layerName.c_str(), + tfLiteContext, + IsElementwiseUnarySupported, + delegateData.m_Backends, + isSupported, + setBackend, + inputTensorInfo, + outputTensorInfo, + descriptor); + }; + + if (!delegateData.m_Network) + { + validateFunc(outputTensorInfo, isSupported, GetLayerName(unaryOperation)); + return isSupported ? kTfLiteOk : kTfLiteError; + } + + armnn::IConnectableLayer* layer = delegateData.m_Network->AddElementwiseUnaryLayer(descriptor); + layer->SetBackendId(setBackend); + ARMNN_ASSERT(layer != nullptr); + + armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); + outputSlot.SetTensorInfo(outputTensorInfo); + + // try to connect the Constant Inputs if there are any + if(ProcessInputs(layer, delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk ) + { + return kTfLiteError; + } + + // Connect + return Connect(layer, tfLiteContext, tfLiteNode, delegateData); +} + +} // namespace armnnOpaqueDelegate
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