James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 1 | // |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 2 | // Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved. |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 8 | #include "TestUtils.hpp" |
| 9 | |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 10 | #include <armnn_delegate.hpp> |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 11 | #include <DelegateTestInterpreter.hpp> |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 12 | |
| 13 | #include <flatbuffers/flatbuffers.h> |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 14 | #include <tensorflow/lite/kernels/register.h> |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 15 | #include <tensorflow/lite/version.h> |
| 16 | |
| 17 | #include <doctest/doctest.h> |
| 18 | |
| 19 | namespace |
| 20 | { |
| 21 | std::vector<char> CreateTransposeTfLiteModel(tflite::TensorType tensorType, |
| 22 | const std::vector <int32_t>& input0TensorShape, |
| 23 | const std::vector <int32_t>& inputPermVecShape, |
| 24 | const std::vector <int32_t>& outputTensorShape, |
| 25 | const std::vector<int32_t>& inputPermVec) |
| 26 | { |
| 27 | using namespace tflite; |
| 28 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 29 | flatbuffers::Offset<tflite::Buffer> buffers[4]{ |
| 30 | CreateBuffer(flatBufferBuilder), |
| 31 | CreateBuffer(flatBufferBuilder), |
| 32 | CreateBuffer(flatBufferBuilder, |
| 33 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(inputPermVec.data()), |
| 34 | sizeof(int32_t) * inputPermVec.size())), |
| 35 | CreateBuffer(flatBufferBuilder) |
| 36 | }; |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 37 | std::array<flatbuffers::Offset<Tensor>, 3> tensors; |
| 38 | tensors[0] = CreateTensor(flatBufferBuilder, |
| 39 | flatBufferBuilder.CreateVector<int32_t>(input0TensorShape.data(), |
| 40 | input0TensorShape.size()), |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 41 | tensorType, 1); |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 42 | tensors[1] = CreateTensor(flatBufferBuilder, |
| 43 | flatBufferBuilder.CreateVector<int32_t>(inputPermVecShape.data(), |
| 44 | inputPermVecShape.size()), |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 45 | tflite::TensorType_INT32, 2, |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 46 | flatBufferBuilder.CreateString("permutation_vector")); |
| 47 | tensors[2] = CreateTensor(flatBufferBuilder, |
| 48 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 49 | outputTensorShape.size()), |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 50 | tensorType,3); |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 51 | const std::vector<int32_t> operatorInputs{0, 1}; |
| 52 | const std::vector<int32_t> operatorOutputs{2}; |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 53 | flatbuffers::Offset <Operator> transposeOperator = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 54 | CreateOperator(flatBufferBuilder, |
| 55 | 0, |
| 56 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 57 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 58 | BuiltinOptions_TransposeOptions, |
| 59 | CreateTransposeOptions(flatBufferBuilder).Union()); |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 60 | const std::vector<int> subgraphInputs{0, 1}; |
| 61 | const std::vector<int> subgraphOutputs{2}; |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 62 | flatbuffers::Offset <SubGraph> subgraph = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 63 | CreateSubGraph(flatBufferBuilder, |
| 64 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 65 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 66 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 67 | flatBufferBuilder.CreateVector(&transposeOperator, 1)); |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 68 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 69 | flatBufferBuilder.CreateString("ArmnnDelegate: Transpose Operator Model"); |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 70 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, |
| 71 | tflite::BuiltinOperator_TRANSPOSE); |
| 72 | flatbuffers::Offset <Model> flatbufferModel = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 73 | CreateModel(flatBufferBuilder, |
| 74 | TFLITE_SCHEMA_VERSION, |
| 75 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 76 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 77 | modelDescription, |
| 78 | flatBufferBuilder.CreateVector(buffers, 4)); |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 79 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 80 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 81 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 82 | } |
| 83 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 84 | template <typename T> |
| 85 | void TransposeTest(std::vector<armnn::BackendId>& backends, |
| 86 | std::vector<int32_t>& inputShape, |
| 87 | std::vector<int32_t>& inputPermVecShape, |
| 88 | std::vector<int32_t>& outputShape, |
| 89 | std::vector<T>& inputValues, |
| 90 | std::vector<int32_t>& inputPermVec, |
| 91 | std::vector<T>& expectedOutputValues) |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 92 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 93 | using namespace delegateTestInterpreter; |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 94 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 95 | // Create model |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 96 | std::vector<char> modelBuffer = CreateTransposeTfLiteModel(::tflite::TensorType_FLOAT32, |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 97 | inputShape, |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 98 | inputPermVecShape, |
| 99 | outputShape, |
| 100 | inputPermVec); |
| 101 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 102 | // Setup interpreter with just TFLite Runtime. |
| 103 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 104 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 105 | CHECK(tfLiteInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 106 | CHECK(tfLiteInterpreter.FillInputTensor<int32_t>(inputPermVec, 1) == kTfLiteOk); |
| 107 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 108 | std::vector<T> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<T>(0); |
| 109 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 110 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 111 | // Setup interpreter with Arm NN Delegate applied. |
| 112 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends); |
| 113 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 114 | CHECK(armnnInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 115 | CHECK(armnnInterpreter.FillInputTensor<int32_t>(inputPermVec, 1) == kTfLiteOk); |
| 116 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 117 | std::vector<T> armnnOutputValues = armnnInterpreter.GetOutputResult<T>(0); |
| 118 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 119 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 120 | armnnDelegate::CompareOutputData<T>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues); |
| 121 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, outputShape); |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 122 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 123 | tfLiteInterpreter.Cleanup(); |
| 124 | armnnInterpreter.Cleanup(); |
James Ward | f89964e | 2020-11-09 11:57:47 +0000 | [diff] [blame] | 125 | } |
| 126 | } |