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Diffstat (limited to 'delegate/opaque/src/Softmax.hpp')
| -rw-r--r-- | delegate/opaque/src/Softmax.hpp | 157 |
1 files changed, 157 insertions, 0 deletions
diff --git a/delegate/opaque/src/Softmax.hpp b/delegate/opaque/src/Softmax.hpp index e16969768e..87927616ff 100644 --- a/delegate/opaque/src/Softmax.hpp +++ b/delegate/opaque/src/Softmax.hpp @@ -2,3 +2,160 @@ // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // + +#pragma once + +#include <OpaqueDelegateUtils.hpp> + +namespace armnnOpaqueDelegate +{ +TfLiteStatus ValidateSoftmaxOperator(DelegateData& delegateData, + TfLiteOpaqueContext* tfLiteContext, + const armnn::TensorInfo& inputInfo, + const armnn::TensorInfo& outputTensorInfo, + const armnn::SoftmaxDescriptor& descriptor) +{ + bool isSupported = false; + FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("SOFTMAX", + tfLiteContext, + IsSoftmaxSupported, + delegateData.m_Backends, + isSupported, + armnn::BackendId(), + inputInfo, + outputTensorInfo, + descriptor); + return isSupported ? kTfLiteOk : kTfLiteError; +} + +TfLiteStatus ValidateLogSoftmaxOperator(DelegateData& delegateData, + TfLiteOpaqueContext* tfLiteContext, + const armnn::TensorInfo& inputInfo, + const armnn::TensorInfo& outputTensorInfo, + const armnn::LogSoftmaxDescriptor& descriptor) +{ + bool isSupported = false; + FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("LOG_SOFTMAX", + tfLiteContext, + IsLogSoftmaxSupported, + delegateData.m_Backends, + isSupported, + armnn::BackendId(), + inputInfo, + outputTensorInfo, + descriptor); + return isSupported ? kTfLiteOk : kTfLiteError; +} + +TfLiteStatus VisitSoftmaxOperator(DelegateData& delegateData, + TfLiteOpaqueContext* tfLiteContext, + TfLiteOpaqueNode* tfLiteNode, + int nodeIndex, + int32_t tfliteSoftmaxOperatorCode) +{ + 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. + const int* inputTensors; + int numInputs; + 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; + } + + const TfLiteOpaqueTensor* tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); + if (!IsValid(tfLiteContext, tfLiteInputTensor, tfliteSoftmaxOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + // Gather output indices and use to get output tensor. + const int* outputTensors; + int numOutputs = 0; + 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; + } + + const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]); + if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfliteSoftmaxOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor); + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true); + + if (!delegateData.m_Network) + { + switch(tfliteSoftmaxOperatorCode) + { + case kTfLiteBuiltinSoftmax: + { + armnn::SoftmaxDescriptor descriptor; + auto* nodeParams = reinterpret_cast<TfLiteSoftmaxParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode)); + descriptor.m_Beta = nodeParams->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(tfliteSoftmaxOperatorCode) + { + case kTfLiteBuiltinSoftmax: + { + armnn::SoftmaxDescriptor descriptor; + auto* nodeParameters = reinterpret_cast<TfLiteSoftmaxParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode)); + descriptor.m_Beta = nodeParameters->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); + + // try to connect the Constant Inputs if there are any + if(ProcessInputs(softmaxLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk ) + { + return kTfLiteError; + } + + // Connect + return Connect(softmaxLayer, tfLiteContext, tfLiteNode, delegateData); +} +} // namespace armnnOpaqueDelegate
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