| Idriss Chaouch | cbf7929 | 2023-09-08 11:18:16 +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 <OpaqueDelegateUtils.hpp> |
| 9 | |
| 10 | namespace armnnOpaqueDelegate |
| 11 | { |
| 12 | TfLiteStatus ValidateBroadcastToOperator(DelegateData& delegateData, |
| 13 | TfLiteOpaqueContext *tfLiteContext, |
| 14 | const armnn::TensorInfo& inputInfo, |
| 15 | const armnn::TensorInfo& outputInfo, |
| 16 | const armnn::BroadcastToDescriptor& descriptor) |
| 17 | { |
| 18 | bool isSupported = false; |
| 19 | FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("BROADCAST_TO", |
| 20 | tfLiteContext, |
| 21 | IsBroadcastToSupported, |
| 22 | delegateData.m_Backends, |
| 23 | isSupported, |
| 24 | armnn::BackendId(), |
| 25 | inputInfo, |
| 26 | outputInfo, |
| 27 | descriptor); |
| 28 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 29 | } |
| 30 | |
| 31 | TfLiteStatus VisitBroadcastToOperator(DelegateData& delegateData, |
| 32 | TfLiteOpaqueContext* tfLiteContext, |
| 33 | TfLiteOpaqueNode* tfLiteNode, |
| 34 | int nodeIndex, |
| 35 | int32_t broadcastToOperatorCode) |
| 36 | { |
| 37 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| 38 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 39 | |
| 40 | // Gather input tensors |
| 41 | auto numInputs = TfLiteOpaqueNodeNumberOfInputs(tfLiteNode); |
| 42 | const int* inputTensors; |
| 43 | if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk) |
| 44 | { |
| 45 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 46 | tfLiteContext, |
| 47 | "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ", |
| 48 | nodeIndex); |
| 49 | return kTfLiteError; |
| 50 | } |
| 51 | |
| 52 | // Gather output tensors |
| 53 | int numOutputs = 0; |
| 54 | const int* outputTensors; |
| 55 | if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, |
| 56 | &numOutputs) != kTfLiteOk) |
| 57 | { |
| 58 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 59 | tfLiteContext, |
| 60 | "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ", |
| 61 | nodeIndex); |
| 62 | return kTfLiteError; |
| 63 | } |
| 64 | |
| 65 | // The input contains the data |
| 66 | const TfLiteOpaqueTensor* tfLiteInputTensor = |
| 67 | TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); |
| 68 | if (IsDynamicTensor(tfLiteInputTensor)) |
| 69 | { |
| 70 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 71 | tfLiteContext, |
| 72 | "TfLiteArmnnOpaqueDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| 73 | broadcastToOperatorCode, nodeIndex); |
| 74 | return kTfLiteError; |
| 75 | } |
| 76 | |
| 77 | // The shape tensor |
| 78 | const TfLiteOpaqueTensor* tfLiteShapeTensor = |
| 79 | TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);; |
| 80 | if (IsDynamicTensor(tfLiteShapeTensor)) |
| 81 | { |
| 82 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 83 | tfLiteContext, |
| 84 | "TfLiteArmnnOpaqueDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| 85 | broadcastToOperatorCode, nodeIndex); |
| 86 | return kTfLiteError; |
| 87 | } |
| 88 | |
| 89 | // The output tensor |
| 90 | const TfLiteOpaqueTensor* tfLiteOutputTensor = |
| 91 | TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]); |
| 92 | if (IsDynamicTensor(tfLiteOutputTensor)) |
| 93 | { |
| 94 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 95 | tfLiteContext, |
| 96 | "TfLiteArmnnOpaqueDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ", |
| 97 | broadcastToOperatorCode, nodeIndex); |
| 98 | return kTfLiteError; |
| 99 | } |
| 100 | |
| 101 | const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor); |
| 102 | const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, |
| 103 | true); |
| 104 | |
| 105 | auto* shapeData = static_cast<int32_t*>(TfLiteOpaqueTensorData(tfLiteShapeTensor)); |
| 106 | int32_t shapeTensorNum = TfLiteOpaqueTensorDim(tfLiteShapeTensor, 0); |
| 107 | |
| 108 | armnn::BroadcastToDescriptor broadcastToDescriptor; |
| 109 | broadcastToDescriptor.m_BroadcastToShape = armnn::TensorShape(shapeTensorNum, |
| 110 | shapeData); |
| 111 | |
| 112 | // No network pointer indicates that only support for this operator should be checked |
| 113 | if (!delegateData.m_Network) |
| 114 | { |
| 115 | return ValidateBroadcastToOperator(delegateData, |
| 116 | tfLiteContext, |
| 117 | inputTensorInfo, |
| 118 | outputTensorInfo, |
| 119 | broadcastToDescriptor); |
| 120 | } |
| 121 | |
| 122 | std::string layerName("BroadcastTo"); |
| 123 | armnn::IConnectableLayer* layer = delegateData.m_Network->AddBroadcastToLayer(broadcastToDescriptor, |
| 124 | layerName.c_str()); |
| 125 | |
| 126 | if (layer == nullptr) |
| 127 | { |
| 128 | return kTfLiteError; |
| 129 | } |
| 130 | |
| 131 | layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 132 | |
| 133 | if (ProcessInputs(layer, delegateData, tfLiteContext, tfLiteNode, nodeIndex) != kTfLiteOk) |
| 134 | { |
| 135 | return kTfLiteError; |
| 136 | } |
| 137 | |
| 138 | return Connect(layer, tfLiteContext, tfLiteNode, delegateData); |
| 139 | } |
| 140 | |
| 141 | } // namespace armnnOpaqueDelegate |