| // |
| // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include <OpaqueDelegateUtils.hpp> |
| |
| namespace armnnOpaqueDelegate |
| { |
| TfLiteStatus ValidateBroadcastToOperator(DelegateData& delegateData, |
| TfLiteOpaqueContext *tfLiteContext, |
| const armnn::TensorInfo& inputInfo, |
| const armnn::TensorInfo& outputInfo, |
| const armnn::BroadcastToDescriptor& descriptor) |
| { |
| bool isSupported = false; |
| FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("BROADCAST_TO", |
| tfLiteContext, |
| IsBroadcastToSupported, |
| delegateData.m_Backends, |
| isSupported, |
| armnn::BackendId(), |
| inputInfo, |
| outputInfo, |
| descriptor); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| TfLiteStatus VisitBroadcastToOperator(DelegateData& delegateData, |
| TfLiteOpaqueContext* tfLiteContext, |
| TfLiteOpaqueNode* tfLiteNode, |
| int nodeIndex, |
| int32_t broadcastToOperatorCode) |
| { |
| TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| |
| // Gather input tensors |
| auto numInputs = TfLiteOpaqueNodeNumberOfInputs(tfLiteNode); |
| const int* inputTensors; |
| 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; |
| } |
| |
| // Gather output tensors |
| int numOutputs = 0; |
| const int* outputTensors; |
| 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; |
| } |
| |
| // The input contains the data |
| const TfLiteOpaqueTensor* tfLiteInputTensor = |
| TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); |
| if (IsDynamicTensor(tfLiteInputTensor)) |
| { |
| TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnOpaqueDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| broadcastToOperatorCode, nodeIndex); |
| return kTfLiteError; |
| } |
| |
| // The shape tensor |
| const TfLiteOpaqueTensor* tfLiteShapeTensor = |
| TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);; |
| if (IsDynamicTensor(tfLiteShapeTensor)) |
| { |
| TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnOpaqueDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| broadcastToOperatorCode, nodeIndex); |
| return kTfLiteError; |
| } |
| |
| // The output tensor |
| const TfLiteOpaqueTensor* tfLiteOutputTensor = |
| TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]); |
| if (IsDynamicTensor(tfLiteOutputTensor)) |
| { |
| TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnOpaqueDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ", |
| broadcastToOperatorCode, nodeIndex); |
| return kTfLiteError; |
| } |
| |
| const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor); |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, |
| true); |
| |
| auto* shapeData = static_cast<int32_t*>(TfLiteOpaqueTensorData(tfLiteShapeTensor)); |
| int32_t shapeTensorNum = TfLiteOpaqueTensorDim(tfLiteShapeTensor, 0); |
| |
| armnn::BroadcastToDescriptor broadcastToDescriptor; |
| broadcastToDescriptor.m_BroadcastToShape = armnn::TensorShape(shapeTensorNum, |
| shapeData); |
| |
| // No network pointer indicates that only support for this operator should be checked |
| if (!delegateData.m_Network) |
| { |
| return ValidateBroadcastToOperator(delegateData, |
| tfLiteContext, |
| inputTensorInfo, |
| outputTensorInfo, |
| broadcastToDescriptor); |
| } |
| |
| std::string layerName("BroadcastTo"); |
| armnn::IConnectableLayer* layer = delegateData.m_Network->AddBroadcastToLayer(broadcastToDescriptor, |
| layerName.c_str()); |
| |
| if (layer == nullptr) |
| { |
| return kTfLiteError; |
| } |
| |
| layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| |
| if (ProcessInputs(layer, delegateData, tfLiteContext, tfLiteNode, nodeIndex) != kTfLiteOk) |
| { |
| return kTfLiteError; |
| } |
| |
| return Connect(layer, tfLiteContext, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnOpaqueDelegate |