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Diffstat (limited to 'delegate/classic/src/Gather.hpp')
| -rw-r--r-- | delegate/classic/src/Gather.hpp | 106 |
1 files changed, 106 insertions, 0 deletions
diff --git a/delegate/classic/src/Gather.hpp b/delegate/classic/src/Gather.hpp new file mode 100644 index 0000000000..4c9cf82832 --- /dev/null +++ b/delegate/classic/src/Gather.hpp @@ -0,0 +1,106 @@ +// +// Copyright © 2020,2022-2023 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, true); + 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; + } + + armnn::BackendId setBackend; + if (!delegateData.m_Network) + { + // Check if supported + bool isSupported = false; + FORWARD_LAYER_SUPPORT_FUNC("GATHER", + tfLiteContext, + IsGatherSupported, + delegateData.m_Backends, + isSupported, + setBackend, + inputTensorInfo, + indicesTensorInfo, + outputTensorInfo, + gatherDescriptor); + return isSupported ? kTfLiteOk : kTfLiteError; + } + + armnn::IConnectableLayer* layer = delegateData.m_Network->AddGatherLayer(gatherDescriptor); + layer->SetBackendId(setBackend); + ARMNN_ASSERT(layer != nullptr); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + auto inputsTensorsProcess = ProcessInputs(layer, + delegateData, + tfLiteContext, + tfLiteNode); + if (inputsTensorsProcess == kTfLiteError) + { + return inputsTensorsProcess; + } + + return Connect(layer, tfLiteNode, delegateData); +} +} // namespace armnnDelegate
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