diff options
author | Jan Eilers <jan.eilers@arm.com> | 2021-02-03 09:14:30 +0000 |
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committer | KeithARM <keith.davis@arm.com> | 2021-02-15 12:32:46 +0000 |
commit | 2ffddda9d9f890a041bcdcc80948d2de1e627832 (patch) | |
tree | 84f789b1a2536418186e92ccb0661e341dfdfdfd /delegate/src/test | |
parent | 800b281e506e921006c23cd4309781b6508c0fcb (diff) | |
download | armnn-2ffddda9d9f890a041bcdcc80948d2de1e627832.tar.gz |
IVGCVSW-5386 TfLiteDelegate: Add Strided Slice operator
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Icd87b1c54e1a5de84893882da30840a9097f6d84
Diffstat (limited to 'delegate/src/test')
-rw-r--r-- | delegate/src/test/SliceTest.cpp | 243 | ||||
-rw-r--r-- | delegate/src/test/SliceTestHelper.hpp | 241 |
2 files changed, 484 insertions, 0 deletions
diff --git a/delegate/src/test/SliceTest.cpp b/delegate/src/test/SliceTest.cpp new file mode 100644 index 0000000000..bd0584936e --- /dev/null +++ b/delegate/src/test/SliceTest.cpp @@ -0,0 +1,243 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "SliceTestHelper.hpp" + +#include <armnn_delegate.hpp> + +#include <flatbuffers/flatbuffers.h> +#include <tensorflow/lite/schema/schema_generated.h> + +#include <doctest/doctest.h> + +namespace armnnDelegate +{ + +void StridedSlice4DTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> inputShape { 3, 2, 3, 1 }; + std::vector<int32_t> outputShape { 1, 2, 3, 1 }; + std::vector<int32_t> beginShape { 4 }; + std::vector<int32_t> endShape { 4 }; + std::vector<int32_t> strideShape { 4 }; + + std::vector<int32_t> beginData { 1, 0, 0, 0 }; + std::vector<int32_t> endData { 2, 2, 3, 1 }; + std::vector<int32_t> strideData { 1, 1, 1, 1 }; + std::vector<float> inputData { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }; + std::vector<float> outputData { 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f }; + + StridedSliceTestImpl<float>( + backends, + inputData, + outputData, + beginData, + endData, + strideData, + inputShape, + beginShape, + endShape, + strideShape, + outputShape + ); +} + +void StridedSlice4DReverseTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> inputShape { 3, 2, 3, 1 }; + std::vector<int32_t> outputShape { 1, 2, 3, 1 }; + std::vector<int32_t> beginShape { 4 }; + std::vector<int32_t> endShape { 4 }; + std::vector<int32_t> strideShape { 4 }; + + std::vector<int32_t> beginData { 1, -1, 0, 0 }; + std::vector<int32_t> endData { 2, -3, 3, 1 }; + std::vector<int32_t> strideData { 1, -1, 1, 1 }; + std::vector<float> inputData { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }; + std::vector<float> outputData { 4.0f, 4.0f, 4.0f, 3.0f, 3.0f, 3.0f }; + + StridedSliceTestImpl<float>( + backends, + inputData, + outputData, + beginData, + endData, + strideData, + inputShape, + beginShape, + endShape, + strideShape, + outputShape + ); +} + +void StridedSliceSimpleStrideTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> inputShape { 3, 2, 3, 1 }; + std::vector<int32_t> outputShape { 2, 1, 2, 1 }; + std::vector<int32_t> beginShape { 4 }; + std::vector<int32_t> endShape { 4 }; + std::vector<int32_t> strideShape { 4 }; + + std::vector<int32_t> beginData { 0, 0, 0, 0 }; + std::vector<int32_t> endData { 3, 2, 3, 1 }; + std::vector<int32_t> strideData { 2, 2, 2, 1 }; + std::vector<float> inputData { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }; + std::vector<float> outputData { 1.0f, 1.0f, + 5.0f, 5.0f }; + + StridedSliceTestImpl<float>( + backends, + inputData, + outputData, + beginData, + endData, + strideData, + inputShape, + beginShape, + endShape, + strideShape, + outputShape + ); +} + +void StridedSliceSimpleRangeMaskTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> inputShape { 3, 2, 3, 1 }; + std::vector<int32_t> outputShape { 3, 2, 3, 1 }; + std::vector<int32_t> beginShape { 4 }; + std::vector<int32_t> endShape { 4 }; + std::vector<int32_t> strideShape { 4 }; + + std::vector<int32_t> beginData { 1, 1, 1, 1 }; + std::vector<int32_t> endData { 1, 1, 1, 1 }; + std::vector<int32_t> strideData { 1, 1, 1, 1 }; + + int beginMask = -1; + int endMask = -1; + + std::vector<float> inputData { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }; + std::vector<float> outputData { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }; + + StridedSliceTestImpl<float>( + backends, + inputData, + outputData, + beginData, + endData, + strideData, + inputShape, + beginShape, + endShape, + strideShape, + outputShape, + beginMask, + endMask + ); +} + + +TEST_SUITE("StridedSlice_CpuRefTests") +{ + +TEST_CASE ("StridedSlice_4D_CpuRef_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; + StridedSlice4DTest(backends); +} + +TEST_CASE ("StridedSlice_4D_Reverse_CpuRef_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; + StridedSlice4DReverseTest(backends); +} + +TEST_CASE ("StridedSlice_SimpleStride_CpuRef_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; + StridedSliceSimpleStrideTest(backends); +} + +TEST_CASE ("StridedSlice_SimpleRange_CpuRef_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; + StridedSliceSimpleRangeMaskTest(backends); +} + +} // StridedSlice_CpuRefTests TestSuite + + + +TEST_SUITE("StridedSlice_CpuAccTests") +{ + +TEST_CASE ("StridedSlice_4D_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; + StridedSlice4DTest(backends); +} + +TEST_CASE ("StridedSlice_4D_Reverse_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; + StridedSlice4DReverseTest(backends); +} + +TEST_CASE ("StridedSlice_SimpleStride_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; + StridedSliceSimpleStrideTest(backends); +} + +TEST_CASE ("StridedSlice_SimpleRange_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; + StridedSliceSimpleRangeMaskTest(backends); +} + +} // StridedSlice_CpuAccTests TestSuite + + + +TEST_SUITE("StridedSlice_GpuAccTests") +{ + +TEST_CASE ("StridedSlice_4D_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; + StridedSlice4DTest(backends); +} + +TEST_CASE ("StridedSlice_4D_Reverse_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; + StridedSlice4DReverseTest(backends); +} + +TEST_CASE ("StridedSlice_SimpleStride_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; + StridedSliceSimpleStrideTest(backends); +} + +TEST_CASE ("StridedSlice_SimpleRange_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; + StridedSliceSimpleRangeMaskTest(backends); +} + +} // StridedSlice_GpuAccTests TestSuite + +} // namespace armnnDelegate
\ No newline at end of file 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 <armnn_delegate.hpp> +#include <armnn/DescriptorsFwd.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> + +#include <string> + +namespace +{ + +struct StridedSliceParams +{ + StridedSliceParams(std::vector<int32_t>& inputTensorShape, + std::vector<int32_t>& beginTensorData, + std::vector<int32_t>& endTensorData, + std::vector<int32_t>& strideTensorData, + std::vector<int32_t>& outputTensorShape, + armnn::StridedSliceDescriptor& descriptor) + : m_InputTensorShape(inputTensorShape), + m_BeginTensorData(beginTensorData), + m_EndTensorData(endTensorData), + m_StrideTensorData(strideTensorData), + m_OutputTensorShape(outputTensorShape), + m_Descriptor (descriptor) {} + + std::vector<int32_t> m_InputTensorShape; + std::vector<int32_t> m_BeginTensorData; + std::vector<int32_t> m_EndTensorData; + std::vector<int32_t> m_StrideTensorData; + std::vector<int32_t> m_OutputTensorShape; + armnn::StridedSliceDescriptor m_Descriptor; +}; + +std::vector<char> CreateSliceTfLiteModel(tflite::TensorType tensorType, + const std::vector<int32_t>& inputTensorShape, + const std::vector<int32_t>& beginTensorData, + const std::vector<int32_t>& endTensorData, + const std::vector<int32_t>& strideTensorData, + const std::vector<int32_t>& beginTensorShape, + const std::vector<int32_t>& endTensorShape, + const std::vector<int32_t>& strideTensorShape, + const std::vector<int32_t>& 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<flatbuffers::Offset<tflite::Buffer>, 4> buffers; + buffers[0] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector({})); + buffers[1] = CreateBuffer(flatBufferBuilder, + flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(beginTensorData.data()), + sizeof(int32_t) * beginTensorData.size())); + buffers[2] = CreateBuffer(flatBufferBuilder, + flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(endTensorData.data()), + sizeof(int32_t) * endTensorData.size())); + buffers[3] = CreateBuffer(flatBufferBuilder, + flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(strideTensorData.data()), + sizeof(int32_t) * strideTensorData.size())); + + std::array<flatbuffers::Offset<Tensor>, 5> tensors; + tensors[0] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), + inputTensorShape.size()), + tensorType, + 0, + flatBufferBuilder.CreateString("input")); + tensors[1] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(beginTensorShape.data(), + beginTensorShape.size()), + ::tflite::TensorType_INT32, + 1, + flatBufferBuilder.CreateString("begin_tensor")); + tensors[2] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(endTensorShape.data(), + endTensorShape.size()), + ::tflite::TensorType_INT32, + 2, + flatBufferBuilder.CreateString("end_tensor")); + tensors[3] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(strideTensorShape.data(), + strideTensorShape.size()), + ::tflite::TensorType_INT32, + 3, + flatBufferBuilder.CreateString("stride_tensor")); + tensors[4] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), + outputTensorShape.size()), + tensorType, + 0, + flatBufferBuilder.CreateString("output")); + + + // create operator + tflite::BuiltinOptions operatorBuiltinOptionsType = tflite::BuiltinOptions_StridedSliceOptions; + flatbuffers::Offset<void> operatorBuiltinOptions = CreateStridedSliceOptions(flatBufferBuilder, + beginMask, + endMask, + ellipsisMask, + newAxisMask, + ShrinkAxisMask).Union(); + + const std::vector<int> operatorInputs{ 0, 1, 2, 3 }; + const std::vector<int> operatorOutputs{ 4 }; + flatbuffers::Offset <Operator> sliceOperator = + 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, 3 }; + const std::vector<int> subgraphOutputs{ 4 }; + 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(&sliceOperator, 1)); + + flatbuffers::Offset <flatbuffers::String> modelDescription = + flatBufferBuilder.CreateString("ArmnnDelegate: StridedSlice Operator Model"); + flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, + BuiltinOperator_STRIDED_SLICE); + + 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 StridedSliceTestImpl(std::vector<armnn::BackendId>& backends, + std::vector<T>& inputValues, + std::vector<T>& expectedOutputValues, + std::vector<int32_t>& beginTensorData, + std::vector<int32_t>& endTensorData, + std::vector<int32_t>& strideTensorData, + std::vector<int32_t>& inputTensorShape, + std::vector<int32_t>& beginTensorShape, + std::vector<int32_t>& endTensorShape, + std::vector<int32_t>& strideTensorShape, + std::vector<int32_t>& 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<char> 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<Interpreter> armnnDelegate; + CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) + (&armnnDelegate) == kTfLiteOk); + CHECK(armnnDelegate != nullptr); + CHECK(armnnDelegate->AllocateTensors() == kTfLiteOk); + + std::unique_ptr<Interpreter> 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<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)> + 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<T>(tfLiteDelegate, 0, inputValues); + armnnDelegate::FillInput<T>(armnnDelegate, 0, inputValues); + + // Run EnqueWorkload + CHECK(tfLiteDelegate->Invoke() == kTfLiteOk); + CHECK(armnnDelegate->Invoke() == kTfLiteOk); + + // Compare output data + armnnDelegate::CompareOutputData<T>(tfLiteDelegate, + armnnDelegate, + outputTensorShape, + expectedOutputValues); + + tfLiteDelegate.reset(nullptr); + armnnDelegate.reset(nullptr); +} // End of StridedSlice Test + +} // anonymous namespace
\ No newline at end of file |