| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include "DelegateUtils.hpp" |
| |
| #include <tensorflow/lite/builtin_ops.h> |
| #include <tensorflow/lite/c/builtin_op_data.h> |
| #include <tensorflow/lite/c/common.h> |
| #include <tensorflow/lite/minimal_logging.h> |
| |
| namespace armnnDelegate |
| { |
| |
| TfLiteStatus ValidateSoftmaxOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| const armnn::TensorInfo& inputInfo, |
| const armnn::TensorInfo& outputTensorInfo, |
| const armnn::SoftmaxDescriptor& descriptor) |
| { |
| bool isSupported = false; |
| FORWARD_LAYER_SUPPORT_FUNC(__func__, |
| tfLiteContext, |
| IsSoftmaxSupported, |
| delegateData.m_Backends, |
| isSupported, |
| inputInfo, |
| outputTensorInfo, |
| descriptor); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| |
| TfLiteStatus ValidateLogSoftmaxOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| const armnn::TensorInfo& inputInfo, |
| const armnn::TensorInfo& outputTensorInfo, |
| const armnn::LogSoftmaxDescriptor& descriptor) |
| { |
| bool isSupported = false; |
| FORWARD_LAYER_SUPPORT_FUNC(__func__, |
| tfLiteContext, |
| IsLogSoftmaxSupported, |
| delegateData.m_Backends, |
| isSupported, |
| inputInfo, |
| outputTensorInfo, |
| descriptor); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| TfLiteStatus VisitSoftmaxOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| TfLiteNode* tfLiteNode, |
| int nodeIndex, |
| int32_t softmaxOperatorCode) |
| { |
| 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 (IsDynamicTensor(tfLiteInputTensor)) |
| { |
| TF_LITE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnDelegate: Dynamic input tensors are not supported in node #%d: ", |
| nodeIndex); |
| return kTfLiteError; |
| } |
| const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| if (IsDynamicTensor(tfLiteOutputTensor)) |
| { |
| TF_LITE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnDelegate: Dynamic output tensors are not supported in node #%d: ", |
| nodeIndex); |
| return kTfLiteError; |
| } |
| |
| const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); |
| |
| |
| if (!delegateData.m_Network) |
| { |
| switch(softmaxOperatorCode) |
| { |
| case kTfLiteBuiltinSoftmax: |
| { |
| armnn::SoftmaxDescriptor descriptor; |
| auto* params = reinterpret_cast<TfLiteSoftmaxParams*>(tfLiteNode->builtin_data); |
| descriptor.m_Beta = params->beta; |
| return ValidateSoftmaxOperator(delegateData, |
| tfLiteContext, |
| inputTensorInfo, |
| outputTensorInfo, |
| descriptor); |
| } |
| case kTfLiteBuiltinLogSoftmax: |
| { |
| armnn::LogSoftmaxDescriptor descriptor; |
| return ValidateLogSoftmaxOperator(delegateData, |
| tfLiteContext, |
| inputTensorInfo, |
| outputTensorInfo, |
| descriptor); |
| } |
| default: |
| return kTfLiteError; |
| } |
| } |
| |
| armnn::IConnectableLayer* softmaxLayer = nullptr; |
| |
| switch(softmaxOperatorCode) |
| { |
| case kTfLiteBuiltinSoftmax: |
| { |
| armnn::SoftmaxDescriptor descriptor; |
| auto* params = reinterpret_cast<TfLiteSoftmaxParams*>(tfLiteNode->builtin_data); |
| descriptor.m_Beta = params->beta; |
| softmaxLayer = delegateData.m_Network->AddSoftmaxLayer(descriptor); |
| break; |
| } |
| case kTfLiteBuiltinLogSoftmax: |
| { |
| armnn::LogSoftmaxDescriptor descriptor; |
| softmaxLayer = delegateData.m_Network->AddLogSoftmaxLayer(descriptor); |
| break; |
| } |
| default: |
| return kTfLiteError; |
| } |
| ARMNN_ASSERT(softmaxLayer != nullptr); |
| |
| armnn::IOutputSlot& outputSlot = softmaxLayer->GetOutputSlot(0); |
| outputSlot.SetTensorInfo(outputTensorInfo); |
| |
| // Connect |
| return Connect(softmaxLayer, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnDelegate |