Tracy Narine | 7306bbe | 2023-07-17 16:06:26 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <ClassicDelegateUtils.hpp> |
| 9 | |
| 10 | #include <armnn/utility/IgnoreUnused.hpp> |
| 11 | |
| 12 | #include <tensorflow/lite/builtin_ops.h> |
| 13 | #include <tensorflow/lite/c/builtin_op_data.h> |
| 14 | #include <tensorflow/lite/c/common.h> |
| 15 | #include <tensorflow/lite/minimal_logging.h> |
| 16 | #include <tensorflow/lite/kernels/internal/tensor_ctypes.h> |
| 17 | |
| 18 | namespace armnnDelegate |
| 19 | { |
| 20 | |
| 21 | |
| 22 | |
| 23 | TfLiteStatus ValidateReverseV2Operator(DelegateData& delegateData, |
| 24 | TfLiteContext* tfLiteContext, |
| 25 | const armnn::TensorInfo& inputInfo0, |
| 26 | const armnn::TensorInfo& inputInfo1, |
| 27 | const armnn::TensorInfo& outputInfo) |
| 28 | { |
| 29 | bool isSupported = false; |
| 30 | FORWARD_LAYER_SUPPORT_FUNC("REVERSEV2", |
| 31 | tfLiteContext, |
| 32 | IsReverseV2Supported, |
| 33 | delegateData.m_Backends, |
| 34 | isSupported, |
| 35 | armnn::BackendId(), |
| 36 | inputInfo0, |
| 37 | inputInfo1, |
| 38 | outputInfo); |
| 39 | |
| 40 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 41 | } |
| 42 | |
| 43 | TfLiteStatus VisitReverseV2Operator(DelegateData& delegateData, |
| 44 | TfLiteContext* tfLiteContext, |
| 45 | TfLiteNode* tfLiteNode, |
| 46 | int nodeIndex, |
| 47 | int32_t reverseV2OperatorCode) |
| 48 | { |
| 49 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| 50 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 51 | |
| 52 | const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| 53 | |
| 54 | // The first input contains the data that should be reversed |
| 55 | const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
| 56 | if (IsDynamicTensor(tfLiteInputTensor)) |
| 57 | { |
| 58 | TF_LITE_MAYBE_KERNEL_LOG( |
| 59 | tfLiteContext, |
| 60 | "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| 61 | reverseV2OperatorCode, nodeIndex); |
| 62 | return kTfLiteError; |
| 63 | } |
| 64 | |
| 65 | // The second input contains an axis tensor. |
| 66 | const TfLiteTensor& tfLiteAxisTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; |
| 67 | if (IsDynamicTensor(tfLiteAxisTensor)) |
| 68 | { |
| 69 | TF_LITE_MAYBE_KERNEL_LOG( |
| 70 | tfLiteContext, |
| 71 | "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| 72 | reverseV2OperatorCode, nodeIndex); |
| 73 | return kTfLiteError; |
| 74 | } |
| 75 | |
| 76 | // Get the output tensor |
| 77 | const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| 78 | if (IsDynamicTensor(tfLiteOutputTensor)) |
| 79 | { |
| 80 | TF_LITE_MAYBE_KERNEL_LOG( |
| 81 | tfLiteContext, |
| 82 | "TfLiteArmnnDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ", |
| 83 | reverseV2OperatorCode, nodeIndex); |
| 84 | return kTfLiteError; |
| 85 | } |
| 86 | |
| 87 | const armnn::TensorInfo& inputTensorInfo0 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| 88 | const armnn::TensorInfo& inputTensorInfo1 = GetTensorInfoForTfLiteTensor(tfLiteAxisTensor); |
| 89 | const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); |
| 90 | |
| 91 | if (inputTensorInfo0.GetNumDimensions() != outputTensorInfo.GetNumDimensions()) |
| 92 | { |
| 93 | TF_LITE_MAYBE_KERNEL_LOG( |
| 94 | tfLiteContext, |
| 95 | "TfLiteArmnnDelegate: input tensor dimension and output tensor dimension differ #%d node #%d: ", |
| 96 | reverseV2OperatorCode, nodeIndex); |
| 97 | return kTfLiteError; |
| 98 | } |
| 99 | |
| 100 | for (unsigned i=0; i < inputTensorInfo0.GetNumDimensions(); i++) |
| 101 | { |
| 102 | if (inputTensorInfo0.GetShape()[i] != outputTensorInfo.GetShape()[i]) |
| 103 | { |
| 104 | TF_LITE_MAYBE_KERNEL_LOG( |
| 105 | tfLiteContext, |
| 106 | "TfLiteArmnnDelegate: input tensor dimension and output tensor differ #%d node #%d: ", |
| 107 | reverseV2OperatorCode, nodeIndex); |
| 108 | return kTfLiteError; |
| 109 | } |
| 110 | } |
| 111 | |
Tracy Narine | 7306bbe | 2023-07-17 16:06:26 +0100 | [diff] [blame] | 112 | const auto maxDimension = 4; |
| 113 | |
| 114 | const auto axisTensorNumValues = static_cast<unsigned int>(tfLiteAxisTensor.dims->size); |
| 115 | if (axisTensorNumValues > maxDimension) |
| 116 | { |
| 117 | TF_LITE_MAYBE_KERNEL_LOG( |
| 118 | tfLiteContext, |
| 119 | "TfLiteArmnnDelegate: The Axis-Input-Tensor of the ReverseV2 operation requires a " |
| 120 | "dimension of <= %d but a tensor with a dimension of %d was given. " |
| 121 | "Operator: #%d node #%d: ", |
| 122 | maxDimension, axisTensorNumValues, reverseV2OperatorCode, nodeIndex); |
| 123 | return kTfLiteError; |
| 124 | } |
| 125 | |
| 126 | // No network pointer indicates that only support for this operator should be checked |
| 127 | if (!delegateData.m_Network) |
| 128 | { |
| 129 | return ValidateReverseV2Operator(delegateData, |
| 130 | tfLiteContext, |
| 131 | inputTensorInfo0, |
| 132 | inputTensorInfo1, |
| 133 | outputTensorInfo); |
| 134 | } |
| 135 | |
Mike Kelly | 07169c8 | 2023-08-02 13:23:09 +0100 | [diff] [blame] | 136 | auto layerName = GetLayerName(armnn::LayerType::ReverseV2, nodeIndex); |
Tracy Narine | 7306bbe | 2023-07-17 16:06:26 +0100 | [diff] [blame] | 137 | armnn::IConnectableLayer* reverseV2Layer = delegateData.m_Network->AddReverseV2Layer(layerName.c_str()); |
| 138 | |
| 139 | armnn::IOutputSlot& outputSlot = reverseV2Layer->GetOutputSlot(0); |
| 140 | outputSlot.SetTensorInfo(outputTensorInfo); |
| 141 | |
| 142 | // Try to connect the Constant Inputs if there are any |
Mike Kelly | 07169c8 | 2023-08-02 13:23:09 +0100 | [diff] [blame] | 143 | if (ProcessInputs(reverseV2Layer, delegateData, tfLiteContext, tfLiteNode, nodeIndex) != kTfLiteOk) |
Tracy Narine | 7306bbe | 2023-07-17 16:06:26 +0100 | [diff] [blame] | 144 | { |
| 145 | return kTfLiteError; |
| 146 | } |
| 147 | |
| 148 | ARMNN_ASSERT(reverseV2Layer != nullptr); |
| 149 | |
| 150 | return Connect(reverseV2Layer, tfLiteNode, delegateData); |
| 151 | } |
| 152 | |
| 153 | } // namespace armnnDelegate |