| // |
| // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include <OpaqueDelegateUtils.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 armnnOpaqueDelegate |
| { |
| |
| TfLiteStatus VisitComparisonOperator(DelegateData& delegateData, |
| TfLiteOpaqueContext* tfLiteContext, |
| TfLiteOpaqueNode* tfLiteNode, |
| int nodeIndex, |
| int32_t tfLiteComparisonOperatorCode) |
| { |
| TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| |
| // Gather input indices and use to get input tensor. |
| int numInputs = 0; |
| 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; |
| } |
| |
| // Use input indices to get input tensors. |
| const TfLiteOpaqueTensor* tfLiteInputTensor0 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); |
| if (!IsValid(tfLiteContext, tfLiteInputTensor0, tfLiteComparisonOperatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const TfLiteOpaqueTensor* tfLiteInputTensor1 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]); |
| if (!IsValid(tfLiteContext, tfLiteInputTensor1, tfLiteComparisonOperatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| // Gather output indices and use to get 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; |
| } |
| |
| const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]); |
| if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfLiteComparisonOperatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| armnn::TensorInfo inputTensorInfo0 = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor0); |
| armnn::TensorInfo inputTensorInfo1 = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor1); |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true); |
| |
| // Check if we need to expand the dims 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_OPAQUE_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, tfLiteContext, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnDelegate |