| // |
| // 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; |
| } |
| |
| auto layerName = GetName(descriptor.m_Operation, nodeIndex); |
| armnn::IConnectableLayer* layer = delegateData.m_Network->AddElementwiseUnaryLayer(descriptor, layerName.c_str()); |
| 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, nodeIndex) != kTfLiteOk) |
| { |
| return kTfLiteError; |
| } |
| |
| // Connect |
| return Connect(layer, tfLiteContext, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnOpaqueDelegate |