| // |
| // Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include "DelegateUtils.hpp" |
| #include <armnn/utility/IgnoreUnused.hpp> |
| |
| #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 VisitComparisonOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| TfLiteNode* tfLiteNode, |
| int nodeIndex, |
| int32_t tfLiteComparisonOperatorCode) |
| { |
| 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& tfLiteInputTensor0 = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
| if (IsDynamicTensor(tfLiteInputTensor0)) |
| { |
| TF_LITE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| tfLiteComparisonOperatorCode, nodeIndex); |
| |
| return kTfLiteError; |
| } |
| |
| const TfLiteTensor& tfLiteInputTensor1 = tfLiteTensors[tfLiteNode->inputs->data[1]]; |
| if (IsDynamicTensor(tfLiteInputTensor1)) |
| { |
| TF_LITE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| tfLiteComparisonOperatorCode, nodeIndex); |
| return kTfLiteError; |
| } |
| |
| const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| if (IsDynamicTensor(tfLiteOutputTensor)) |
| { |
| TF_LITE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ", |
| tfLiteComparisonOperatorCode, nodeIndex); |
| return kTfLiteError; |
| } |
| |
| armnn::TensorInfo inputTensorInfo0 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor0); |
| armnn::TensorInfo inputTensorInfo1 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor1); |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); |
| |
| // Check if we need to expand the dims of any of the input tensor infos. |
| // This is required for a few of the backends. |
| if(inputTensorInfo0.GetNumDimensions() != inputTensorInfo1.GetNumDimensions()) |
| { |
| ExpandTensorRankToEqual(inputTensorInfo0, inputTensorInfo1); |
| } |
| |
| armnn::ComparisonOperation comparisonOperation = armnn::ComparisonOperation::Equal; |
| switch(tfLiteComparisonOperatorCode) |
| { |
| case kTfLiteBuiltinEqual: |
| comparisonOperation = armnn::ComparisonOperation::Equal; |
| break; |
| case kTfLiteBuiltinGreater: |
| comparisonOperation = armnn::ComparisonOperation::Greater; |
| break; |
| case kTfLiteBuiltinGreaterEqual: |
| comparisonOperation = armnn::ComparisonOperation::GreaterOrEqual; |
| break; |
| case kTfLiteBuiltinLess: |
| comparisonOperation = armnn::ComparisonOperation::Less; |
| break; |
| case kTfLiteBuiltinLessEqual: |
| comparisonOperation = armnn::ComparisonOperation::LessOrEqual; |
| break; |
| case kTfLiteBuiltinNotEqual: |
| comparisonOperation = armnn::ComparisonOperation::NotEqual; |
| break; |
| default: |
| return kTfLiteError; |
| } |
| |
| armnn::ComparisonDescriptor descriptor(comparisonOperation); |
| bool isSupported = false; |
| armnn::BackendId setBackend; |
| auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) |
| { |
| FORWARD_LAYER_SUPPORT_FUNC("COMPARISON", |
| tfLiteContext, |
| IsComparisonSupported, |
| delegateData.m_Backends, |
| isSupported, |
| setBackend, |
| inputTensorInfo0, |
| inputTensorInfo1, |
| outputTensorInfo, |
| descriptor); |
| }; |
| |
| if (!delegateData.m_Network) |
| { |
| validateFunc(outputTensorInfo, isSupported); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| armnn::IConnectableLayer* comparisonLayer = delegateData.m_Network->AddComparisonLayer(descriptor); |
| comparisonLayer->SetBackendId(setBackend); |
| ARMNN_ASSERT(comparisonLayer != nullptr); |
| |
| armnn::IOutputSlot& outputSlot = comparisonLayer->GetOutputSlot(0); |
| outputSlot.SetTensorInfo(outputTensorInfo); |
| |
| // try to connect the Constant Inputs if there are any |
| if(ProcessInputs(comparisonLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk ) |
| { |
| return kTfLiteError; |
| } |
| |
| return Connect(comparisonLayer, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnDelegate |