| // |
| // Copyright © 2021,2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #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 VisitPackOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| TfLiteNode* tfLiteNode, |
| int nodeIndex, |
| int32_t operatorCode) |
| { |
| unsigned int numInputs = tfLiteNode->inputs->size; |
| if (numInputs < 1) |
| { |
| TF_LITE_MAYBE_KERNEL_LOG( |
| tfLiteContext, "TfLiteArmnnDelegate: Must have at least one input in (%d != %d) in node #%d", |
| 1, numInputs, nodeIndex); |
| return kTfLiteError; |
| } |
| |
| TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| |
| const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| |
| // Validate all inputs and get TensorInfo |
| std::vector<armnn::TensorInfo> inputTensorInfos; |
| for (unsigned int i = 0; i < numInputs; ++i) |
| { |
| const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[i]]; |
| if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| armnn::TensorInfo inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| inputTensorInfos.emplace_back(inputTensorInfo); |
| } |
| |
| // Convert input tensors to const armnn::TensorInfo* type for FORWARD_LAYER_SUPPORT_FUNC. |
| std::vector<const armnn::TensorInfo*> inputConstTensorInfos; |
| std::transform(inputTensorInfos.begin(), |
| inputTensorInfos.end(), |
| std::back_inserter(inputConstTensorInfos), |
| [](armnn::TensorInfo& t)->const armnn::TensorInfo*{ return &t; }); |
| |
| // Validate output and get TensorInfo |
| const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); |
| |
| armnn::StackDescriptor desc; |
| desc.m_NumInputs = static_cast<uint32_t>(numInputs); |
| |
| // Get axis from TfLite parameters |
| auto* params = reinterpret_cast<TfLitePackParams*>(tfLiteNode->builtin_data); |
| desc.m_Axis = static_cast<uint32_t>(params->axis); |
| |
| // Use the tensor shape of the first input as the "correct" input shape in the descriptor |
| desc.m_InputShape = inputTensorInfos[0].GetShape(); |
| |
| // Check if supported |
| bool isSupported = false; |
| armnn::BackendId setBackend; |
| auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) |
| { |
| FORWARD_LAYER_SUPPORT_FUNC("STACK", |
| tfLiteContext, |
| IsStackSupported, |
| delegateData.m_Backends, |
| isSupported, |
| setBackend, |
| inputConstTensorInfos, |
| outputTensorInfo, |
| desc); |
| }; |
| |
| // 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, VisitPackOperator will be called again to add the layer to the network as seen below |
| if (!delegateData.m_Network) |
| { |
| validateFunc(outputTensorInfo, isSupported); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| // The TfLite Pack operator is equivalent to the ArmNN Stack operator |
| armnn::IConnectableLayer* layer = delegateData.m_Network->AddStackLayer(desc); |
| layer->SetBackendId(setBackend); |
| ARMNN_ASSERT(layer != nullptr); |
| |
| // Connect the Constant Inputs |
| auto inputsTensorsProcess = ProcessInputs(layer, |
| delegateData, |
| tfLiteContext, |
| tfLiteNode); |
| if (inputsTensorsProcess == kTfLiteError) |
| { |
| return inputsTensorsProcess; |
| } |
| |
| armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); |
| outputSlot.SetTensorInfo(outputTensorInfo); |
| |
| // Connect |
| return Connect(layer, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnDelegate |