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Diffstat (limited to 'delegate/src/Gather.hpp')
-rw-r--r-- | delegate/src/Gather.hpp | 106 |
1 files changed, 0 insertions, 106 deletions
diff --git a/delegate/src/Gather.hpp b/delegate/src/Gather.hpp deleted file mode 100644 index 9125997417..0000000000 --- a/delegate/src/Gather.hpp +++ /dev/null @@ -1,106 +0,0 @@ -// -// 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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