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Diffstat (limited to 'delegate/src/test/BatchSpaceTestHelper.hpp')
-rw-r--r-- | delegate/src/test/BatchSpaceTestHelper.hpp | 218 |
1 files changed, 0 insertions, 218 deletions
diff --git a/delegate/src/test/BatchSpaceTestHelper.hpp b/delegate/src/test/BatchSpaceTestHelper.hpp deleted file mode 100644 index d4fa9837e8..0000000000 --- a/delegate/src/test/BatchSpaceTestHelper.hpp +++ /dev/null @@ -1,218 +0,0 @@ -// -// Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#pragma once - -#include "TestUtils.hpp" - -#include <armnn_delegate.hpp> - -#include <flatbuffers/flatbuffers.h> -#include <tensorflow/lite/interpreter.h> -#include <tensorflow/lite/kernels/register.h> -#include <tensorflow/lite/model.h> -#include <tensorflow/lite/schema/schema_generated.h> -#include <tensorflow/lite/version.h> - -#include <doctest/doctest.h> - -namespace -{ - -std::vector<char> CreateBatchSpaceTfLiteModel(tflite::BuiltinOperator batchSpaceOperatorCode, - tflite::TensorType tensorType, - std::vector<int32_t>& inputTensorShape, - std::vector <int32_t>& outputTensorShape, - std::vector<unsigned int>& blockData, - std::vector<std::pair<unsigned int, unsigned int>>& cropsPadData, - float quantScale = 1.0f, - int quantOffset = 0) -{ - using namespace tflite; - flatbuffers::FlatBufferBuilder flatBufferBuilder; - - std::array<flatbuffers::Offset<tflite::Buffer>, 5> buffers; - buffers[0] = CreateBuffer(flatBufferBuilder); - buffers[1] = CreateBuffer(flatBufferBuilder); - buffers[2] = CreateBuffer(flatBufferBuilder, - flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(blockData.data()), - sizeof(int32_t) * blockData.size())); - buffers[3] = CreateBuffer(flatBufferBuilder, - flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(cropsPadData.data()), - sizeof(int64_t) * cropsPadData.size())); - buffers[4] = CreateBuffer(flatBufferBuilder); - - auto quantizationParameters = - CreateQuantizationParameters(flatBufferBuilder, - 0, - 0, - flatBufferBuilder.CreateVector<float>({ quantScale }), - flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); - - std::string cropsOrPadding = - batchSpaceOperatorCode == tflite::BuiltinOperator_BATCH_TO_SPACE_ND ? "crops" : "padding"; - - std::vector<int32_t> blockShape { 2 }; - std::vector<int32_t> cropsOrPaddingShape { 2, 2 }; - - std::array<flatbuffers::Offset<Tensor>, 4> tensors; - tensors[0] = CreateTensor(flatBufferBuilder, - flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), - inputTensorShape.size()), - tensorType, - 1, - flatBufferBuilder.CreateString("input"), - quantizationParameters); - - tensors[1] = CreateTensor(flatBufferBuilder, - flatBufferBuilder.CreateVector<int32_t>(blockShape.data(), - blockShape.size()), - ::tflite::TensorType_INT32, - 2, - flatBufferBuilder.CreateString("block"), - quantizationParameters); - - tensors[2] = CreateTensor(flatBufferBuilder, - flatBufferBuilder.CreateVector<int32_t>(cropsOrPaddingShape.data(), - cropsOrPaddingShape.size()), - ::tflite::TensorType_INT32, - 3, - flatBufferBuilder.CreateString(cropsOrPadding), - quantizationParameters); - - // Create output tensor - tensors[3] = CreateTensor(flatBufferBuilder, - flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), - outputTensorShape.size()), - tensorType, - 4, - flatBufferBuilder.CreateString("output"), - quantizationParameters); - - // Create operator - tflite::BuiltinOptions operatorBuiltinOptionsType = tflite::BuiltinOptions_NONE; - flatbuffers::Offset<void> operatorBuiltinOptions = 0; - switch (batchSpaceOperatorCode) - { - case tflite::BuiltinOperator_BATCH_TO_SPACE_ND: - { - operatorBuiltinOptionsType = tflite::BuiltinOptions_BatchToSpaceNDOptions; - operatorBuiltinOptions = CreateBatchToSpaceNDOptions(flatBufferBuilder).Union(); - break; - } - case tflite::BuiltinOperator_SPACE_TO_BATCH_ND: - { - operatorBuiltinOptionsType = tflite::BuiltinOptions_SpaceToBatchNDOptions; - operatorBuiltinOptions = CreateSpaceToBatchNDOptions(flatBufferBuilder).Union(); - break; - } - default: - break; - } - - const std::vector<int> operatorInputs{ {0, 1, 2} }; - const std::vector<int> operatorOutputs{ 3 }; - flatbuffers::Offset <Operator> batchSpaceOperator = - CreateOperator(flatBufferBuilder, - 0, - flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), - flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), - operatorBuiltinOptionsType, - operatorBuiltinOptions); - - const std::vector<int> subgraphInputs{ {0, 1, 2} }; - const std::vector<int> subgraphOutputs{ 3 }; - 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(&batchSpaceOperator, 1)); - - flatbuffers::Offset <flatbuffers::String> modelDescription = - flatBufferBuilder.CreateString("ArmnnDelegate: BatchSpace Operator Model"); - flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, batchSpaceOperatorCode); - - flatbuffers::Offset <Model> flatbufferModel = - CreateModel(flatBufferBuilder, - TFLITE_SCHEMA_VERSION, - flatBufferBuilder.CreateVector(&operatorCode, 1), - flatBufferBuilder.CreateVector(&subgraph, 1), - modelDescription, - flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); - - flatBufferBuilder.Finish(flatbufferModel); - - return std::vector<char>(flatBufferBuilder.GetBufferPointer(), - flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); -} - -template <typename T> -void BatchSpaceTest(tflite::BuiltinOperator controlOperatorCode, - tflite::TensorType tensorType, - std::vector<armnn::BackendId>& backends, - std::vector<int32_t>& inputShape, - std::vector<int32_t>& expectedOutputShape, - std::vector<T>& inputValues, - std::vector<unsigned int>& blockShapeValues, - std::vector<std::pair<unsigned int, unsigned int>>& cropsPaddingValues, - std::vector<T>& expectedOutputValues, - float quantScale = 1.0f, - int quantOffset = 0) -{ - using namespace tflite; - std::vector<char> modelBuffer = CreateBatchSpaceTfLiteModel(controlOperatorCode, - tensorType, - inputShape, - expectedOutputShape, - blockShapeValues, - cropsPaddingValues, - quantScale, - quantOffset); - - const Model* tfLiteModel = GetModel(modelBuffer.data()); - - // Create TfLite Interpreters - std::unique_ptr<Interpreter> armnnDelegateInterpreter; - CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) - (&armnnDelegateInterpreter) == kTfLiteOk); - CHECK(armnnDelegateInterpreter != nullptr); - CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk); - - std::unique_ptr<Interpreter> tfLiteInterpreter; - CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) - (&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); - CHECK(theArmnnDelegate != nullptr); - - // Modify armnnDelegateInterpreter to use armnnDelegate - CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk); - - // Set input data - armnnDelegate::FillInput<T>(tfLiteInterpreter, 0, inputValues); - armnnDelegate::FillInput<T>(armnnDelegateInterpreter, 0, inputValues); - - // Run EnqueWorkload - CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk); - CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk); - - // Compare output data - armnnDelegate::CompareOutputData<T>(tfLiteInterpreter, - armnnDelegateInterpreter, - expectedOutputShape, - expectedOutputValues); - - armnnDelegateInterpreter.reset(nullptr); - tfLiteInterpreter.reset(nullptr); -} - -} // anonymous namespace
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