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 | // |
Teresa Charlin | 4236296 | 2023-04-28 14:23:33 +0100 | [diff] [blame^] | 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <OpaqueDelegateUtils.hpp> |
| 9 | |
| 10 | namespace armnnOpaqueDelegate |
| 11 | { |
| 12 | |
| 13 | TfLiteStatus VisitTransposeOperator(DelegateData& delegateData, |
| 14 | TfLiteOpaqueContext* tfLiteContext, |
| 15 | TfLiteOpaqueNode* tfLiteNode, |
| 16 | int nodeIndex, |
| 17 | int32_t tfliteTransposeOperatorCode) |
| 18 | { |
| 19 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| 20 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 21 | |
| 22 | // Gather input indices and use to get input tensor. |
| 23 | const int* inputTensors; |
| 24 | int numInputs; |
| 25 | if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk) |
| 26 | { |
| 27 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 28 | tfLiteContext, |
| 29 | "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ", |
| 30 | nodeIndex); |
| 31 | return kTfLiteError; |
| 32 | } |
| 33 | const TfLiteOpaqueTensor* tfLiteInputTensor0 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); |
| 34 | if (!IsValid(tfLiteContext, tfLiteInputTensor0, tfliteTransposeOperatorCode, nodeIndex)) |
| 35 | { |
| 36 | return kTfLiteError; |
| 37 | } |
| 38 | const TfLiteOpaqueTensor* tfLiteInputTensor1 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]); |
| 39 | if (!IsValid(tfLiteContext, tfLiteInputTensor1, tfliteTransposeOperatorCode, nodeIndex)) |
| 40 | { |
| 41 | return kTfLiteError; |
| 42 | } |
| 43 | |
| 44 | // Gather output indices and use to get output tensors. |
| 45 | const int* outputTensors; |
| 46 | int numOutputs; |
| 47 | if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numOutputs) != kTfLiteOk) |
| 48 | { |
| 49 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 50 | tfLiteContext, |
| 51 | "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ", |
| 52 | nodeIndex); |
| 53 | return kTfLiteError; |
| 54 | } |
| 55 | |
| 56 | const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]); |
| 57 | if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfliteTransposeOperatorCode, nodeIndex)) |
| 58 | { |
| 59 | return kTfLiteError; |
| 60 | } |
| 61 | |
| 62 | const armnn::TensorInfo& inputTensorInfo0 = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor0); |
| 63 | const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true); |
| 64 | |
| 65 | auto* permTensorDataPtr = static_cast<int32_t*>(TfLiteOpaqueTensorData(tfLiteInputTensor1)); |
| 66 | unsigned int numEl = TfLiteOpaqueTensorDim(tfLiteInputTensor1, 0); |
| 67 | |
| 68 | ARMNN_ASSERT( numEl <= static_cast<int>(armnn::MaxNumOfTensorDimensions) ); |
| 69 | // Ensure only single dimension to the permutation tensor |
| 70 | ARMNN_ASSERT( TfLiteOpaqueTensorNumDims(tfLiteInputTensor1) == 1 ); |
| 71 | |
| 72 | armnn::TransposeDescriptor descriptor(armnn::PermutationVector( |
| 73 | reinterpret_cast<const armnn::PermutationVector::ValueType *> (permTensorDataPtr), |
| 74 | static_cast<armnn::PermutationVector::SizeType>(numEl))); |
| 75 | |
| 76 | bool isSupported = false; |
| 77 | armnn::BackendId setBackend; |
| 78 | auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) |
| 79 | { |
| 80 | FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("TRANSPOSE", |
| 81 | tfLiteContext, |
| 82 | IsTransposeSupported, |
| 83 | delegateData.m_Backends, |
| 84 | isSupported, |
| 85 | setBackend, |
| 86 | inputTensorInfo0, |
| 87 | outputTensorInfo, |
| 88 | descriptor); |
| 89 | }; |
| 90 | |
| 91 | if (!delegateData.m_Network) |
| 92 | { |
| 93 | validateFunc(outputTensorInfo, isSupported); |
| 94 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 95 | } |
| 96 | |
| 97 | armnn::IConnectableLayer* transposeLayer = delegateData.m_Network->AddTransposeLayer(descriptor); |
| 98 | transposeLayer->SetBackendId(setBackend); |
| 99 | ARMNN_ASSERT(transposeLayer != nullptr); |
| 100 | // Permutation vector given to descriptor object |
| 101 | ARMNN_ASSERT(transposeLayer->GetNumInputSlots() == 1); |
| 102 | |
| 103 | armnn::IOutputSlot& outputSlot = transposeLayer->GetOutputSlot(0); |
| 104 | outputSlot.SetTensorInfo(outputTensorInfo); |
| 105 | |
| 106 | // try to connect the Constant Inputs if there are any |
| 107 | if(ProcessInputs(transposeLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk ) |
| 108 | { |
| 109 | return kTfLiteError; |
| 110 | } |
| 111 | |
| 112 | return Connect(transposeLayer, tfLiteContext, tfLiteNode, delegateData); |
| 113 | } |
| 114 | } // namespace armnnOpaqueDelegate |