| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include "DelegateUtils.hpp" |
| #include <algorithm> |
| #include <iterator> |
| #include <string> |
| #include <vector> |
| |
| namespace armnnDelegate |
| { |
| TfLiteStatus VisitGatherOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| TfLiteNode* tfLiteNode, |
| int nodeIndex, |
| int32_t operatorCode) |
| { |
| TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, 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& tfLiteIndicesTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; |
| if (!IsValid(tfLiteContext, tfLiteIndicesTensor, operatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| auto* gatherParameters = reinterpret_cast<TfLiteGatherParams*>(tfLiteNode->builtin_data); |
| auto axis = gatherParameters->axis; |
| |
| const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| const armnn::TensorInfo& indicesTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteIndicesTensor); |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); |
| armnn::GatherDescriptor gatherDescriptor; |
| gatherDescriptor.m_Axis = axis; |
| |
| auto inputDimensions = static_cast<int32_t>(inputTensorInfo.GetNumDimensions()); |
| auto indicesDimensions = indicesTensorInfo.GetNumDimensions(); |
| auto outputDimensions = outputTensorInfo.GetNumDimensions(); |
| if (((axis < -inputDimensions) && (axis < 0)) || ((axis >= inputDimensions) && (axis > 0))) |
| { |
| TF_LITE_MAYBE_KERNEL_LOG( tfLiteContext, |
| "TfLiteArmnnDelegate: Operation has invalid axis: %d. It is out of bounds [-%d, %d))", |
| axis, inputDimensions, inputDimensions); |
| return kTfLiteError; |
| } |
| if (outputDimensions != static_cast<unsigned int>(inputDimensions) + indicesDimensions - 1) |
| { |
| TF_LITE_MAYBE_KERNEL_LOG( tfLiteContext, |
| "Operation has invalid output dimensions: %d. Output must be an (%d + %d - 1)-D tensor", |
| outputDimensions, inputDimensions, indicesDimensions); |
| return kTfLiteError; |
| } |
| |
| if (!delegateData.m_Network) |
| { |
| // Check if supported |
| bool isSupported = false; |
| FORWARD_LAYER_SUPPORT_FUNC(__func__, |
| tfLiteContext, |
| IsGatherSupported, |
| delegateData.m_Backends, |
| isSupported, |
| inputTensorInfo, |
| indicesTensorInfo, |
| outputTensorInfo, |
| gatherDescriptor); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| armnn::IConnectableLayer* layer = delegateData.m_Network->AddGatherLayer(gatherDescriptor); |
| ARMNN_ASSERT(layer != nullptr); |
| layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| |
| auto inputsTensorsProcess = ProcessInputs(layer, |
| delegateData, |
| tfLiteContext, |
| tfLiteNode); |
| if (inputsTensorsProcess == kTfLiteError) |
| { |
| return inputsTensorsProcess; |
| } |
| |
| Connect(layer, tfLiteNode, delegateData); |
| |
| return kTfLiteOk; |
| } |
| } // namespace armnnDelegate |