From ad1b3d7518429e2d16a2695d9b0bbf81b6565ac9 Mon Sep 17 00:00:00 2001 From: Teresa Charlin Date: Tue, 14 Mar 2023 12:10:28 +0000 Subject: IVGCVSW-7555 Restructure Delegate * New folders created: * common is for common code where TfLite API is not used * classic is for existing delegate implementations * opaque is for new opaque delegate implementation, * tests is for shared between existing Delegate and Opaque Delegate which have test utils to work which delegate to use. * Existing delegate is built to libarmnnDelegate.so and opaque delegate is built as libarmnnOpaqueDelegate.so * Opaque structure is introduced but no API is added yet. * CmakeList.txt and delegate/CMakeList.txt have been modified and 2 new CmakeList.txt added * Rename BUILD_ARMNN_TFLITE_DELEGATE as BUILD_CLASSIC_DELEGATE * Rename BUILD_ARMNN_TFLITE_OPAQUE_DELEGATE as BUILD_OPAQUE_DELEGATE Signed-off-by: Teresa Charlin Change-Id: Ib682b9ad0ac8d8acdc4ec6d9099bb0008a9fe8ed --- delegate/test/SpaceDepthTestHelper.hpp | 168 +++++++++++++++++++++++++++++++++ 1 file changed, 168 insertions(+) create mode 100644 delegate/test/SpaceDepthTestHelper.hpp (limited to 'delegate/test/SpaceDepthTestHelper.hpp') diff --git a/delegate/test/SpaceDepthTestHelper.hpp b/delegate/test/SpaceDepthTestHelper.hpp new file mode 100644 index 0000000000..6e8e39d0b0 --- /dev/null +++ b/delegate/test/SpaceDepthTestHelper.hpp @@ -0,0 +1,168 @@ +// +// Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "TestUtils.hpp" + +#include + +#include +#include +#include +#include +#include +#include + +#include + +namespace +{ +std::vector CreateSpaceDepthTfLiteModel(tflite::BuiltinOperator spaceDepthOperatorCode, + tflite::TensorType tensorType, + const std::vector & inputTensorShape, + const std::vector & outputTensorShape, + int32_t blockSize) +{ + using namespace tflite; + flatbuffers::FlatBufferBuilder flatBufferBuilder; + + auto quantizationParameters = + CreateQuantizationParameters(flatBufferBuilder, + 0, + 0, + flatBufferBuilder.CreateVector({ 1.0f }), + flatBufferBuilder.CreateVector({ 0 })); + + std::vector> buffers; + buffers.push_back(CreateBuffer(flatBufferBuilder)); + buffers.push_back(CreateBuffer(flatBufferBuilder)); + buffers.push_back(CreateBuffer(flatBufferBuilder)); + + std::array, 2> tensors; + tensors[0] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector(inputTensorShape.data(), + inputTensorShape.size()), + tensorType, + 1, + flatBufferBuilder.CreateString("input"), + quantizationParameters); + tensors[1] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector(outputTensorShape.data(), + outputTensorShape.size()), + tensorType, + 2, + flatBufferBuilder.CreateString("output"), + quantizationParameters); + + const std::vector operatorInputs({0}); + const std::vector operatorOutputs({1}); + + flatbuffers::Offset spaceDepthOperator; + flatbuffers::Offset modelDescription; + flatbuffers::Offset operatorCode; + + switch (spaceDepthOperatorCode) + { + case tflite::BuiltinOperator_SPACE_TO_DEPTH: + spaceDepthOperator = + CreateOperator(flatBufferBuilder, + 0, + flatBufferBuilder.CreateVector(operatorInputs.data(), operatorInputs.size()), + flatBufferBuilder.CreateVector(operatorOutputs.data(), operatorOutputs.size()), + BuiltinOptions_SpaceToDepthOptions, + CreateSpaceToDepthOptions(flatBufferBuilder, blockSize).Union()); + modelDescription = flatBufferBuilder.CreateString("ArmnnDelegate: SPACE_TO_DEPTH Operator Model"); + operatorCode = CreateOperatorCode(flatBufferBuilder, + tflite::BuiltinOperator_SPACE_TO_DEPTH); + break; + case tflite::BuiltinOperator_DEPTH_TO_SPACE: + spaceDepthOperator = + CreateOperator(flatBufferBuilder, + 0, + flatBufferBuilder.CreateVector(operatorInputs.data(), operatorInputs.size()), + flatBufferBuilder.CreateVector(operatorOutputs.data(), operatorOutputs.size()), + BuiltinOptions_DepthToSpaceOptions, + CreateDepthToSpaceOptions(flatBufferBuilder, blockSize).Union()); + flatBufferBuilder.CreateString("ArmnnDelegate: DEPTH_TO_SPACE Operator Model"); + operatorCode = CreateOperatorCode(flatBufferBuilder, + tflite::BuiltinOperator_DEPTH_TO_SPACE); + break; + default: + break; + } + const std::vector subgraphInputs({0}); + const std::vector subgraphOutputs({1}); + flatbuffers::Offset subgraph = + CreateSubGraph(flatBufferBuilder, + flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), + flatBufferBuilder.CreateVector(subgraphInputs.data(), subgraphInputs.size()), + flatBufferBuilder.CreateVector(subgraphOutputs.data(), subgraphOutputs.size()), + flatBufferBuilder.CreateVector(&spaceDepthOperator, 1)); + flatbuffers::Offset 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(flatBufferBuilder.GetBufferPointer(), + flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); +} + +template +void SpaceDepthTest(tflite::BuiltinOperator spaceDepthOperatorCode, + tflite::TensorType tensorType, + std::vector& backends, + std::vector& inputShape, + std::vector& outputShape, + std::vector& inputValues, + std::vector& expectedOutputValues, + int32_t blockSize = 2) +{ + using namespace tflite; + std::vector modelBuffer = CreateSpaceDepthTfLiteModel(spaceDepthOperatorCode, + tensorType, + inputShape, + outputShape, + blockSize); + + const Model* tfLiteModel = GetModel(modelBuffer.data()); + // Create TfLite Interpreters + std::unique_ptr armnnDelegateInterpreter; + CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) + (&armnnDelegateInterpreter) == kTfLiteOk); + CHECK(armnnDelegateInterpreter != nullptr); + CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk); + + std::unique_ptr 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 + 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(tfLiteInterpreter, 0, inputValues); + armnnDelegate::FillInput(armnnDelegateInterpreter, 0, inputValues); + + // Run EnqueWorkload + CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk); + CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk); + + // Compare output data + armnnDelegate::CompareOutputData(tfLiteInterpreter, armnnDelegateInterpreter, outputShape, expectedOutputValues); +} + +} // anonymous namespace -- cgit v1.2.1