diff options
Diffstat (limited to 'delegate/src/test/TransposeTestHelper.hpp')
| -rw-r--r-- | delegate/src/test/TransposeTestHelper.hpp | 65 |
1 files changed, 34 insertions, 31 deletions
diff --git a/delegate/src/test/TransposeTestHelper.hpp b/delegate/src/test/TransposeTestHelper.hpp index 1d55273b9f..4479c486cb 100644 --- a/delegate/src/test/TransposeTestHelper.hpp +++ b/delegate/src/test/TransposeTestHelper.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2020 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -26,53 +26,56 @@ std::vector<char> CreateTransposeTfLiteModel(tflite::TensorType tensorType, { using namespace tflite; flatbuffers::FlatBufferBuilder flatBufferBuilder; - std::array<flatbuffers::Offset<tflite::Buffer>, 2> buffers; - buffers[0] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector({})); - buffers[1] = CreateBuffer(flatBufferBuilder, - flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(inputPermVec.data()), - sizeof(int32_t) * inputPermVec.size())); + flatbuffers::Offset<tflite::Buffer> buffers[4]{ + CreateBuffer(flatBufferBuilder), + CreateBuffer(flatBufferBuilder), + CreateBuffer(flatBufferBuilder, + flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(inputPermVec.data()), + sizeof(int32_t) * inputPermVec.size())), + CreateBuffer(flatBufferBuilder) + }; std::array<flatbuffers::Offset<Tensor>, 3> tensors; tensors[0] = CreateTensor(flatBufferBuilder, flatBufferBuilder.CreateVector<int32_t>(input0TensorShape.data(), input0TensorShape.size()), - tensorType, 0); + tensorType, 1); tensors[1] = CreateTensor(flatBufferBuilder, flatBufferBuilder.CreateVector<int32_t>(inputPermVecShape.data(), inputPermVecShape.size()), - tflite::TensorType_INT32, 1, + tflite::TensorType_INT32, 2, flatBufferBuilder.CreateString("permutation_vector")); tensors[2] = CreateTensor(flatBufferBuilder, flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), outputTensorShape.size()), - tensorType); + tensorType,3); const std::vector<int32_t> operatorInputs{0, 1}; const std::vector<int32_t> operatorOutputs{2}; flatbuffers::Offset <Operator> transposeOperator = - CreateOperator(flatBufferBuilder, - 0, - flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), - flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), - BuiltinOptions_TransposeOptions, - CreateTransposeOptions(flatBufferBuilder).Union()); + CreateOperator(flatBufferBuilder, + 0, + flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), + flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), + BuiltinOptions_TransposeOptions, + CreateTransposeOptions(flatBufferBuilder).Union()); const std::vector<int> subgraphInputs{0, 1}; const std::vector<int> subgraphOutputs{2}; flatbuffers::Offset <SubGraph> subgraph = - CreateSubGraph(flatBufferBuilder, - flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), - flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), - flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), - flatBufferBuilder.CreateVector(&transposeOperator, 1)); + CreateSubGraph(flatBufferBuilder, + flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), + flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), + flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), + flatBufferBuilder.CreateVector(&transposeOperator, 1)); flatbuffers::Offset <flatbuffers::String> modelDescription = - flatBufferBuilder.CreateString("ArmnnDelegate: Transpose Operator Model"); + flatBufferBuilder.CreateString("ArmnnDelegate: Transpose Operator Model"); flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, tflite::BuiltinOperator_TRANSPOSE); flatbuffers::Offset <Model> flatbufferModel = - CreateModel(flatBufferBuilder, - TFLITE_SCHEMA_VERSION, - flatBufferBuilder.CreateVector(&operatorCode, 1), - flatBufferBuilder.CreateVector(&subgraph, 1), - modelDescription, - flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); + CreateModel(flatBufferBuilder, + TFLITE_SCHEMA_VERSION, + flatBufferBuilder.CreateVector(&operatorCode, 1), + flatBufferBuilder.CreateVector(&subgraph, 1), + modelDescription, + flatBufferBuilder.CreateVector(buffers, 4)); flatBufferBuilder.Finish(flatbufferModel); return std::vector<char>(flatBufferBuilder.GetBufferPointer(), flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); @@ -104,21 +107,21 @@ void TransposeFP32Test(std::vector<armnn::BackendId>& backends) // Create TfLite Interpreters std::unique_ptr<Interpreter> armnnDelegateInterpreter; CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) - (&armnnDelegateInterpreter) == kTfLiteOk); + (&armnnDelegateInterpreter) == kTfLiteOk); CHECK(armnnDelegateInterpreter != nullptr); CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk); std::unique_ptr<Interpreter> tfLiteInterpreter; CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) - (&tfLiteInterpreter) == kTfLiteOk); + (&tfLiteInterpreter) == kTfLiteOk); CHECK(tfLiteInterpreter != nullptr); CHECK(tfLiteInterpreter->AllocateTensors() == kTfLiteOk); // Create the ArmNN Delegate armnnDelegate::DelegateOptions delegateOptions(backends); std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)> - theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions), - armnnDelegate::TfLiteArmnnDelegateDelete); + theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions), + armnnDelegate::TfLiteArmnnDelegateDelete); CHECK(theArmnnDelegate != nullptr); // Modify armnnDelegateInterpreter to use armnnDelegate CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk); 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