diff options
Diffstat (limited to 'delegate/src/test')
-rw-r--r-- | delegate/src/test/SpaceDepthTest.cpp | 207 | ||||
-rw-r--r-- | delegate/src/test/SpaceDepthTestHelper.hpp | 166 |
2 files changed, 373 insertions, 0 deletions
diff --git a/delegate/src/test/SpaceDepthTest.cpp b/delegate/src/test/SpaceDepthTest.cpp new file mode 100644 index 0000000000..f80e749b87 --- /dev/null +++ b/delegate/src/test/SpaceDepthTest.cpp @@ -0,0 +1,207 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "SpaceDepthTestHelper.hpp" + +#include <armnn_delegate.hpp> + +#include <flatbuffers/flatbuffers.h> +#include <tensorflow/lite/schema/schema_generated.h> + +#include <doctest/doctest.h> + +namespace armnnDelegate +{ + +void DepthToSpaceFp32Test(std::vector<armnn::BackendId>& backends, int blockSize) +{ + // Set input data + std::vector<int32_t> inputShape { 1, 2, 2, 4 }; + std::vector<int32_t> outputShape { 1, 4, 4, 1 }; + + std::vector<float> inputValues = { 1.f, 2.f, 3.f, 4.f, + 5.f, 6.f, 7.f, 8.f, + 9.f, 10.f, 11.f, 12.f, + 13.f, 14.f, 15.f, 16.f }; + + std::vector<float> expectedOutputValues = { 1.f, 2.f, 5.f, 6.f, + 3.f, 4.f, 7.f, 8.f, + 9.f, 10.f, 13.f, 14.f, + 11.f, 12.f, 15.f, 16.f }; + + SpaceDepthTest<float>(tflite::BuiltinOperator_DEPTH_TO_SPACE, + ::tflite::TensorType_FLOAT32, + backends, + inputShape, + outputShape, + inputValues, + expectedOutputValues, + blockSize); +} + +void DepthToSpaceUint8Test(std::vector<armnn::BackendId>& backends, int blockSize) +{ + // Set input data + std::vector<int32_t> inputShape { 2, 1, 1, 4 }; + std::vector<int32_t> outputShape { 2, 2, 2, 1 }; + + std::vector<uint8_t> inputValues = { 1, 2, 3, 4, + 5, 6, 7, 8 }; + + std::vector<uint8_t> expectedOutputValues = { 1, 2, 3, 4, + 5, 6, 7, 8 }; + + SpaceDepthTest<uint8_t>(tflite::BuiltinOperator_DEPTH_TO_SPACE, + ::tflite::TensorType_UINT8, + backends, + inputShape, + outputShape, + inputValues, + expectedOutputValues, + blockSize); +} + +void SpaceToDepthFp32Test(std::vector<armnn::BackendId>& backends, int blockSize) +{ + // Set input data + std::vector<int32_t> inputShape { 1, 2, 2, 2 }; + std::vector<int32_t> outputShape { 1, 1, 1, 8 }; + + std::vector<float> inputValues = { 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f }; + std::vector<float> expectedOutputValues = { 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f }; + + SpaceDepthTest<float>(tflite::BuiltinOperator_SPACE_TO_DEPTH, + ::tflite::TensorType_FLOAT32, + backends, + inputShape, + outputShape, + inputValues, + expectedOutputValues, + blockSize); +} + +void SpaceToDepthUint8Test(std::vector<armnn::BackendId>& backends, int blockSize) +{ + // Set input data + std::vector<int32_t> inputShape { 1, 2, 2, 1 }; + std::vector<int32_t> outputShape { 1, 1, 1, 4 }; + + std::vector<uint8_t> inputValues = { 1, 2, 3, 2 }; + std::vector<uint8_t> expectedOutputValues = { 1, 2, 3, 2 }; + + SpaceDepthTest<uint8_t>(tflite::BuiltinOperator_SPACE_TO_DEPTH, + ::tflite::TensorType_UINT8, + backends, + inputShape, + outputShape, + inputValues, + expectedOutputValues, + blockSize); +} + +TEST_SUITE("DepthToSpace_CpuRefTests") +{ + +TEST_CASE ("DepthToSpaceFp32Test_CpuRef_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + DepthToSpaceFp32Test(backends, 2); +} + +TEST_CASE ("DepthToSpaceUint8Test_CpuRef_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + DepthToSpaceUint8Test(backends, 2); +} + +} // TEST_SUITE("DepthToSpace_CpuRefTests") + + +TEST_SUITE("DepthToSpace_CpuAccTests") +{ + +TEST_CASE ("DepthToSpaceFp32Test_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + DepthToSpaceFp32Test(backends, 2); +} + +TEST_CASE ("DepthToSpaceUint8Test_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + DepthToSpaceUint8Test(backends, 2); +} + +} // TEST_SUITE("DepthToSpace_CpuAccTests") + +TEST_SUITE("DepthToSpace_GpuAccTests") +{ + +TEST_CASE ("DepthToSpaceFp32Test_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + DepthToSpaceFp32Test(backends, 2); +} + +TEST_CASE ("DepthToSpaceUint8Test_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + DepthToSpaceUint8Test(backends, 2); +} + +} // TEST_SUITE("DepthToSpace_GpuAccTests") + +TEST_SUITE("SpaceToDepth_CpuRefTests") +{ + +TEST_CASE ("SpaceToDepthFp32Test_CpuRef_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + SpaceToDepthFp32Test(backends, 2); +} + +TEST_CASE ("SpaceToDepthUint8Test_CpuRef_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + SpaceToDepthUint8Test(backends, 2); +} + +} // TEST_SUITE("SpaceToDepth_CpuRefTests") + +TEST_SUITE("SpaceToDepth_CpuAccTests") +{ + +TEST_CASE ("SpaceToDepthFp32Test_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + SpaceToDepthFp32Test(backends, 2); +} + +TEST_CASE ("SpaceToDepthUint8Test_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + SpaceToDepthUint8Test(backends, 2); +} + +} // TEST_SUITE("SpaceToDepth_CpuAccTests") + +TEST_SUITE("SpaceToDepth_GpuAccTests") +{ + +TEST_CASE ("SpaceToDepthFp32Test_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + SpaceToDepthFp32Test(backends, 2); +} + +TEST_CASE ("SpaceToDepthUint8Test_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + SpaceToDepthUint8Test(backends, 2); +} + +} // TEST_SUITE("SpaceToDepth_GpuAccTests") + +} // namespace armnnDelegate diff --git a/delegate/src/test/SpaceDepthTestHelper.hpp b/delegate/src/test/SpaceDepthTestHelper.hpp new file mode 100644 index 0000000000..d9a783c6a7 --- /dev/null +++ b/delegate/src/test/SpaceDepthTestHelper.hpp @@ -0,0 +1,166 @@ +// +// Copyright © 2021 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> CreateSpaceDepthTfLiteModel(tflite::BuiltinOperator spaceDepthOperatorCode, + tflite::TensorType tensorType, + const std::vector <int32_t>& inputTensorShape, + const std::vector <int32_t>& outputTensorShape, + int32_t blockSize) +{ + using namespace tflite; + flatbuffers::FlatBufferBuilder flatBufferBuilder; + + auto quantizationParameters = + CreateQuantizationParameters(flatBufferBuilder, + 0, + 0, + flatBufferBuilder.CreateVector<float>({ 1.0f }), + flatBufferBuilder.CreateVector<int64_t>({ 0 })); + + std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; + buffers.push_back(CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector({}))); + + std::array<flatbuffers::Offset<Tensor>, 2> tensors; + tensors[0] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), + inputTensorShape.size()), + tensorType, + 0, + flatBufferBuilder.CreateString("input"), + quantizationParameters); + tensors[1] = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), + outputTensorShape.size()), + tensorType, + 0, + flatBufferBuilder.CreateString("output"), + quantizationParameters); + + const std::vector<int32_t> operatorInputs({0}); + const std::vector<int32_t> operatorOutputs({1}); + + flatbuffers::Offset<Operator> spaceDepthOperator; + flatbuffers::Offset<flatbuffers::String> modelDescription; + flatbuffers::Offset<OperatorCode> operatorCode; + + switch (spaceDepthOperatorCode) + { + case tflite::BuiltinOperator_SPACE_TO_DEPTH: + spaceDepthOperator = + CreateOperator(flatBufferBuilder, + 0, + flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), + flatBufferBuilder.CreateVector<int32_t>(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<int32_t>(operatorInputs.data(), operatorInputs.size()), + flatBufferBuilder.CreateVector<int32_t>(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<int32_t> subgraphInputs({0}); + const std::vector<int32_t> subgraphOutputs({1}); + 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(&spaceDepthOperator, 1)); + 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 SpaceDepthTest(tflite::BuiltinOperator spaceDepthOperatorCode, + tflite::TensorType tensorType, + std::vector<armnn::BackendId>& backends, + std::vector<int32_t>& inputShape, + std::vector<int32_t>& outputShape, + std::vector<T>& inputValues, + std::vector<T>& expectedOutputValues, + int32_t blockSize = 2) +{ + using namespace tflite; + std::vector<char> modelBuffer = CreateSpaceDepthTfLiteModel(spaceDepthOperatorCode, + tensorType, + inputShape, + outputShape, + blockSize); + + 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(tfLiteInterpreter, armnnDelegateInterpreter, outputShape, expectedOutputValues); +} + +} // anonymous namespace |