Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
Matthew Sloyan | 2b04ec3 | 2023-04-26 11:42:46 +0100 | [diff] [blame^] | 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <OpaqueDelegateUtils.hpp> |
| 9 | |
| 10 | #include <tensorflow/lite/builtin_ops.h> |
| 11 | #include <tensorflow/lite/c/builtin_op_data.h> |
| 12 | #include <tensorflow/lite/c/common.h> |
| 13 | #include <tensorflow/lite/minimal_logging.h> |
| 14 | |
| 15 | namespace armnnOpaqueDelegate |
| 16 | { |
| 17 | |
| 18 | TfLiteStatus VisitComparisonOperator(DelegateData& delegateData, |
| 19 | TfLiteOpaqueContext* tfLiteContext, |
| 20 | TfLiteOpaqueNode* tfLiteNode, |
| 21 | int nodeIndex, |
| 22 | int32_t tfLiteComparisonOperatorCode) |
| 23 | { |
| 24 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| 25 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 26 | |
| 27 | // Gather input indices and use to get input tensor. |
| 28 | int numInputs = 0; |
| 29 | const int* inputTensors; |
| 30 | if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk) |
| 31 | { |
| 32 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 33 | tfLiteContext, |
| 34 | "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ", |
| 35 | nodeIndex); |
| 36 | return kTfLiteError; |
| 37 | } |
| 38 | |
| 39 | // Use input indices to get input tensors. |
| 40 | const TfLiteOpaqueTensor* tfLiteInputTensor0 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); |
| 41 | if (!IsValid(tfLiteContext, tfLiteInputTensor0, tfLiteComparisonOperatorCode, nodeIndex)) |
| 42 | { |
| 43 | return kTfLiteError; |
| 44 | } |
| 45 | |
| 46 | const TfLiteOpaqueTensor* tfLiteInputTensor1 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]); |
| 47 | if (!IsValid(tfLiteContext, tfLiteInputTensor1, tfLiteComparisonOperatorCode, nodeIndex)) |
| 48 | { |
| 49 | return kTfLiteError; |
| 50 | } |
| 51 | |
| 52 | // Gather output indices and use to get output tensors. |
| 53 | int numOutputs = 0; |
| 54 | const int* outputTensors; |
| 55 | if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numOutputs) != kTfLiteOk) |
| 56 | { |
| 57 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 58 | tfLiteContext, |
| 59 | "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ", |
| 60 | nodeIndex); |
| 61 | return kTfLiteError; |
| 62 | } |
| 63 | |
| 64 | const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]); |
| 65 | if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfLiteComparisonOperatorCode, nodeIndex)) |
| 66 | { |
| 67 | return kTfLiteError; |
| 68 | } |
| 69 | |
| 70 | armnn::TensorInfo inputTensorInfo0 = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor0); |
| 71 | armnn::TensorInfo inputTensorInfo1 = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor1); |
| 72 | const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true); |
| 73 | |
| 74 | // Check if we need to expand the dims of the input tensor infos. |
| 75 | // This is required for a few of the backends. |
| 76 | if(inputTensorInfo0.GetNumDimensions() != inputTensorInfo1.GetNumDimensions()) |
| 77 | { |
| 78 | ExpandTensorRankToEqual(inputTensorInfo0, inputTensorInfo1); |
| 79 | } |
| 80 | |
| 81 | armnn::ComparisonOperation comparisonOperation = armnn::ComparisonOperation::Equal; |
| 82 | switch(tfLiteComparisonOperatorCode) |
| 83 | { |
| 84 | case kTfLiteBuiltinEqual: |
| 85 | comparisonOperation = armnn::ComparisonOperation::Equal; |
| 86 | break; |
| 87 | case kTfLiteBuiltinGreater: |
| 88 | comparisonOperation = armnn::ComparisonOperation::Greater; |
| 89 | break; |
| 90 | case kTfLiteBuiltinGreaterEqual: |
| 91 | comparisonOperation = armnn::ComparisonOperation::GreaterOrEqual; |
| 92 | break; |
| 93 | case kTfLiteBuiltinLess: |
| 94 | comparisonOperation = armnn::ComparisonOperation::Less; |
| 95 | break; |
| 96 | case kTfLiteBuiltinLessEqual: |
| 97 | comparisonOperation = armnn::ComparisonOperation::LessOrEqual; |
| 98 | break; |
| 99 | case kTfLiteBuiltinNotEqual: |
| 100 | comparisonOperation = armnn::ComparisonOperation::NotEqual; |
| 101 | break; |
| 102 | default: |
| 103 | return kTfLiteError; |
| 104 | } |
| 105 | |
| 106 | armnn::ComparisonDescriptor descriptor(comparisonOperation); |
| 107 | bool isSupported = false; |
| 108 | armnn::BackendId setBackend; |
| 109 | auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) |
| 110 | { |
| 111 | FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("COMPARISON", |
| 112 | tfLiteContext, |
| 113 | IsComparisonSupported, |
| 114 | delegateData.m_Backends, |
| 115 | isSupported, |
| 116 | setBackend, |
| 117 | inputTensorInfo0, |
| 118 | inputTensorInfo1, |
| 119 | outputTensorInfo, |
| 120 | descriptor); |
| 121 | }; |
| 122 | |
| 123 | if (!delegateData.m_Network) |
| 124 | { |
| 125 | validateFunc(outputTensorInfo, isSupported); |
| 126 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 127 | } |
| 128 | |
| 129 | armnn::IConnectableLayer* comparisonLayer = delegateData.m_Network->AddComparisonLayer(descriptor); |
| 130 | comparisonLayer->SetBackendId(setBackend); |
| 131 | ARMNN_ASSERT(comparisonLayer != nullptr); |
| 132 | |
| 133 | armnn::IOutputSlot& outputSlot = comparisonLayer->GetOutputSlot(0); |
| 134 | outputSlot.SetTensorInfo(outputTensorInfo); |
| 135 | |
| 136 | // try to connect the Constant Inputs if there are any |
| 137 | if(ProcessInputs(comparisonLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk ) |
| 138 | { |
| 139 | return kTfLiteError; |
| 140 | } |
| 141 | |
| 142 | return Connect(comparisonLayer, tfLiteContext, tfLiteNode, delegateData); |
| 143 | } |
| 144 | |
| 145 | } // namespace armnnDelegate |