From 2ffddda9d9f890a041bcdcc80948d2de1e627832 Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Wed, 3 Feb 2021 09:14:30 +0000 Subject: IVGCVSW-5386 TfLiteDelegate: Add Strided Slice operator Signed-off-by: Jan Eilers Change-Id: Icd87b1c54e1a5de84893882da30840a9097f6d84 --- delegate/src/test/SliceTestHelper.hpp | 241 ++++++++++++++++++++++++++++++++++ 1 file changed, 241 insertions(+) create mode 100644 delegate/src/test/SliceTestHelper.hpp (limited to 'delegate/src/test/SliceTestHelper.hpp') diff --git a/delegate/src/test/SliceTestHelper.hpp b/delegate/src/test/SliceTestHelper.hpp new file mode 100644 index 0000000000..abaa807aed --- /dev/null +++ b/delegate/src/test/SliceTestHelper.hpp @@ -0,0 +1,241 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "TestUtils.hpp" + +#include +#include + +#include +#include +#include +#include +#include +#include + +#include + +#include + +namespace +{ + +struct StridedSliceParams +{ + StridedSliceParams(std::vector& inputTensorShape, + std::vector& beginTensorData, + std::vector& endTensorData, + std::vector& strideTensorData, + std::vector& outputTensorShape, + armnn::StridedSliceDescriptor& descriptor) + : m_InputTensorShape(inputTensorShape), + m_BeginTensorData(beginTensorData), + m_EndTensorData(endTensorData), + m_StrideTensorData(strideTensorData), + m_OutputTensorShape(outputTensorShape), + m_Descriptor (descriptor) {} + + std::vector m_InputTensorShape; + std::vector m_BeginTensorData; + std::vector m_EndTensorData; + std::vector m_StrideTensorData; + std::vector m_OutputTensorShape; + armnn::StridedSliceDescriptor m_Descriptor; +}; + +std::vector CreateSliceTfLiteModel(tflite::TensorType tensorType, + const std::vector& inputTensorShape, + const std::vector& beginTensorData, + const std::vector& endTensorData, + const std::vector& strideTensorData, + const std::vector& beginTensorShape, + const std::vector& endTensorShape, + const std::vector& strideTensorShape, + const std::vector& outputTensorShape, + const int32_t beginMask, + const int32_t endMask, + const int32_t ellipsisMask, + const int32_t newAxisMask, + const int32_t ShrinkAxisMask, + const armnn::DataLayout& dataLayout) +{ + using namespace tflite; + flatbuffers::FlatBufferBuilder flatBufferBuilder; + + std::array, 4> buffers; + buffers[0] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector({})); + buffers[1] = CreateBuffer(flatBufferBuilder, + flatBufferBuilder.CreateVector(reinterpret_cast(beginTensorData.data()), + sizeof(int32_t) * beginTensorData.size())); + buffers[2] = CreateBuffer(flatBufferBuilder, + flatBufferBuilder.CreateVector(reinterpret_cast(endTensorData.data()), + sizeof(int32_t) * endTensorData.size())); + buffers[3] = CreateBuffer(flatBufferBuilder, + flatBufferBuilder.CreateVector(reinterpret_cast(strideTensorData.data()), + sizeof(int32_t) * strideTensorData.size())); + + std::array, 5> tensors; + tensors[0] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector(inputTensorShape.data(), + inputTensorShape.size()), + tensorType, + 0, + flatBufferBuilder.CreateString("input")); + tensors[1] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector(beginTensorShape.data(), + beginTensorShape.size()), + ::tflite::TensorType_INT32, + 1, + flatBufferBuilder.CreateString("begin_tensor")); + tensors[2] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector(endTensorShape.data(), + endTensorShape.size()), + ::tflite::TensorType_INT32, + 2, + flatBufferBuilder.CreateString("end_tensor")); + tensors[3] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector(strideTensorShape.data(), + strideTensorShape.size()), + ::tflite::TensorType_INT32, + 3, + flatBufferBuilder.CreateString("stride_tensor")); + tensors[4] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector(outputTensorShape.data(), + outputTensorShape.size()), + tensorType, + 0, + flatBufferBuilder.CreateString("output")); + + + // create operator + tflite::BuiltinOptions operatorBuiltinOptionsType = tflite::BuiltinOptions_StridedSliceOptions; + flatbuffers::Offset operatorBuiltinOptions = CreateStridedSliceOptions(flatBufferBuilder, + beginMask, + endMask, + ellipsisMask, + newAxisMask, + ShrinkAxisMask).Union(); + + const std::vector operatorInputs{ 0, 1, 2, 3 }; + const std::vector operatorOutputs{ 4 }; + flatbuffers::Offset sliceOperator = + CreateOperator(flatBufferBuilder, + 0, + flatBufferBuilder.CreateVector(operatorInputs.data(), operatorInputs.size()), + flatBufferBuilder.CreateVector(operatorOutputs.data(), operatorOutputs.size()), + operatorBuiltinOptionsType, + operatorBuiltinOptions); + + const std::vector subgraphInputs{ 0, 1, 2, 3 }; + const std::vector subgraphOutputs{ 4 }; + 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(&sliceOperator, 1)); + + flatbuffers::Offset modelDescription = + flatBufferBuilder.CreateString("ArmnnDelegate: StridedSlice Operator Model"); + flatbuffers::Offset operatorCode = CreateOperatorCode(flatBufferBuilder, + BuiltinOperator_STRIDED_SLICE); + + 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 StridedSliceTestImpl(std::vector& backends, + std::vector& inputValues, + std::vector& expectedOutputValues, + std::vector& beginTensorData, + std::vector& endTensorData, + std::vector& strideTensorData, + std::vector& inputTensorShape, + std::vector& beginTensorShape, + std::vector& endTensorShape, + std::vector& strideTensorShape, + std::vector& outputTensorShape, + const int32_t beginMask = 0, + const int32_t endMask = 0, + const int32_t ellipsisMask = 0, + const int32_t newAxisMask = 0, + const int32_t ShrinkAxisMask = 0, + const armnn::DataLayout& dataLayout = armnn::DataLayout::NHWC) +{ + using namespace tflite; + std::vector modelBuffer = CreateSliceTfLiteModel( + ::tflite::TensorType_FLOAT32, + inputTensorShape, + beginTensorData, + endTensorData, + strideTensorData, + beginTensorShape, + endTensorShape, + strideTensorShape, + outputTensorShape, + beginMask, + endMask, + ellipsisMask, + newAxisMask, + ShrinkAxisMask, + dataLayout); + + auto tfLiteModel = GetModel(modelBuffer.data()); + + // Create TfLite Interpreters + std::unique_ptr armnnDelegate; + CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) + (&armnnDelegate) == kTfLiteOk); + CHECK(armnnDelegate != nullptr); + CHECK(armnnDelegate->AllocateTensors() == kTfLiteOk); + + std::unique_ptr tfLiteDelegate; + CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) + (&tfLiteDelegate) == kTfLiteOk); + CHECK(tfLiteDelegate != nullptr); + CHECK(tfLiteDelegate->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(armnnDelegate->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk); + + // Set input data + armnnDelegate::FillInput(tfLiteDelegate, 0, inputValues); + armnnDelegate::FillInput(armnnDelegate, 0, inputValues); + + // Run EnqueWorkload + CHECK(tfLiteDelegate->Invoke() == kTfLiteOk); + CHECK(armnnDelegate->Invoke() == kTfLiteOk); + + // Compare output data + armnnDelegate::CompareOutputData(tfLiteDelegate, + armnnDelegate, + outputTensorShape, + expectedOutputValues); + + tfLiteDelegate.reset(nullptr); + armnnDelegate.reset(nullptr); +} // End of StridedSlice Test + +} // anonymous namespace \ No newline at end of file -- cgit v1.2.1