| // | |
| // Copyright © 2021 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> | |
| #include <numeric> | |
| namespace armnnDelegate | |
| { | |
| TfLiteStatus VisitShapeOperator(DelegateData& delegateData, | |
| TfLiteContext* tfLiteContext, | |
| TfLiteNode* tfLiteNode, | |
| int nodeIndex, | |
| int32_t operatorCode) | |
| { | |
| 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 (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex)) | |
| { | |
| return kTfLiteError; | |
| } | |
| const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; | |
| if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) | |
| { | |
| return kTfLiteError; | |
| } | |
| const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); | |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); | |
| auto* shapeParameters = reinterpret_cast<TfLiteShapeParams*>(tfLiteNode->builtin_data); | |
| if ( shapeParameters->out_type != kTfLiteInt32 && shapeParameters->out_type != kTfLiteInt64 ) | |
| { | |
| TF_LITE_MAYBE_KERNEL_LOG( | |
| tfLiteContext, | |
| "TfLiteArmnnDelegate: output_type data type is not supported in operator #%d node #%d: ", | |
| operatorCode, nodeIndex); | |
| return kTfLiteError; | |
| } | |
| bool isSupported = false; | |
| auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported) | |
| { | |
| FORWARD_LAYER_SUPPORT_FUNC(__func__, | |
| tfLiteContext, | |
| IsShapeSupported, | |
| delegateData.m_Backends, | |
| isSupported, | |
| inputTensorInfo, | |
| outInfo); | |
| }; | |
| // If the m_Network is a nullptr, this signals that a prerequisite TfLite callback is required to clarify the | |
| // support for the operator | |
| // If supported, VisitShapeOperator will be called again to add the layer to the network as seen further below | |
| if (!delegateData.m_Network) | |
| { | |
| validateFunc(outputTensorInfo, isSupported); | |
| return isSupported ? kTfLiteOk : kTfLiteError; | |
| } | |
| // Add a Shape layer | |
| armnn::IConnectableLayer* layer = delegateData.m_Network->AddShapeLayer(); | |
| ARMNN_ASSERT(layer != nullptr); | |
| armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); | |
| outputSlot.SetTensorInfo(outputTensorInfo); | |
| // Connect | |
| return Connect(layer, tfLiteNode, delegateData); | |
| } | |
| } // namespace armnnDelegate |