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Diffstat (limited to 'delegate/classic/src/Softmax.hpp')
-rw-r--r-- | delegate/classic/src/Softmax.hpp | 155 |
1 files changed, 155 insertions, 0 deletions
diff --git a/delegate/classic/src/Softmax.hpp b/delegate/classic/src/Softmax.hpp new file mode 100644 index 0000000000..4fbd508437 --- /dev/null +++ b/delegate/classic/src/Softmax.hpp @@ -0,0 +1,155 @@ +// +// Copyright © 2022-2023 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("SOFTMAX", + tfLiteContext, + IsSoftmaxSupported, + delegateData.m_Backends, + isSupported, + armnn::BackendId(), + 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("LOG_SOFTMAX", + tfLiteContext, + IsLogSoftmaxSupported, + delegateData.m_Backends, + isSupported, + armnn::BackendId(), + 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, true); + + + 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); + + // try to connect the Constant Inputs if there are any + if(ProcessInputs(softmaxLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk ) + { + return kTfLiteError; + } + + // Connect + return Connect(softmaxLayer, tfLiteNode, delegateData); +} + +} // namespace armnnDelegate |