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-rw-r--r--delegate/src/test/GatherNdTestHelper.hpp181
1 files changed, 0 insertions, 181 deletions
diff --git a/delegate/src/test/GatherNdTestHelper.hpp b/delegate/src/test/GatherNdTestHelper.hpp
deleted file mode 100644
index c2cf9ffe9d..0000000000
--- a/delegate/src/test/GatherNdTestHelper.hpp
+++ /dev/null
@@ -1,181 +0,0 @@
-//
-// Copyright © 2022-2023 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> CreateGatherNdTfLiteModel(tflite::TensorType tensorType,
- std::vector<int32_t>& paramsShape,
- std::vector<int32_t>& indicesShape,
- const std::vector<int32_t>& expectedOutputShape,
- float quantScale = 1.0f,
- int quantOffset = 0)
-{
- using namespace tflite;
- flatbuffers::FlatBufferBuilder flatBufferBuilder;
-
- std::vector<flatbuffers::Offset<tflite::Buffer>> buffers;
- buffers.push_back(CreateBuffer(flatBufferBuilder));
- buffers.push_back(CreateBuffer(flatBufferBuilder));
- buffers.push_back(CreateBuffer(flatBufferBuilder));
- buffers.push_back(CreateBuffer(flatBufferBuilder));
-
- auto quantizationParameters =
- CreateQuantizationParameters(flatBufferBuilder,
- 0,
- 0,
- flatBufferBuilder.CreateVector<float>({quantScale}),
- flatBufferBuilder.CreateVector<int64_t>({quantOffset}));
-
- std::array<flatbuffers::Offset<Tensor>, 3> tensors;
- tensors[0] = CreateTensor(flatBufferBuilder,
- flatBufferBuilder.CreateVector<int32_t>(paramsShape.data(),
- paramsShape.size()),
- tensorType,
- 1,
- flatBufferBuilder.CreateString("params"),
- quantizationParameters);
- tensors[1] = CreateTensor(flatBufferBuilder,
- flatBufferBuilder.CreateVector<int32_t>(indicesShape.data(),
- indicesShape.size()),
- ::tflite::TensorType_INT32,
- 2,
- flatBufferBuilder.CreateString("indices"),
- quantizationParameters);
- tensors[2] = CreateTensor(flatBufferBuilder,
- flatBufferBuilder.CreateVector<int32_t>(expectedOutputShape.data(),
- expectedOutputShape.size()),
- tensorType,
- 3,
- flatBufferBuilder.CreateString("output"),
- quantizationParameters);
-
-
- // create operator
- tflite::BuiltinOptions operatorBuiltinOptionsType = tflite::BuiltinOptions_GatherNdOptions;
- flatbuffers::Offset<void> operatorBuiltinOptions = CreateGatherNdOptions(flatBufferBuilder).Union();
-
- const std::vector<int> operatorInputs{{0, 1}};
- const std::vector<int> operatorOutputs{2};
- flatbuffers::Offset<Operator> controlOperator =
- 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}};
- const std::vector<int> subgraphOutputs{2};
- 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(&controlOperator, 1));
-
- flatbuffers::Offset<flatbuffers::String> modelDescription =
- flatBufferBuilder.CreateString("ArmnnDelegate: GATHER_ND Operator Model");
- flatbuffers::Offset<OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder,
- BuiltinOperator_GATHER_ND);
-
- 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 GatherNdTest(tflite::TensorType tensorType,
- std::vector<armnn::BackendId>& backends,
- std::vector<int32_t>& paramsShape,
- std::vector<int32_t>& indicesShape,
- std::vector<int32_t>& expectedOutputShape,
- std::vector<T>& paramsValues,
- std::vector<int32_t>& indicesValues,
- std::vector<T>& expectedOutputValues,
- float quantScale = 1.0f,
- int quantOffset = 0)
-{
- using namespace tflite;
- std::vector<char> modelBuffer = CreateGatherNdTfLiteModel(tensorType,
- paramsShape,
- indicesShape,
- expectedOutputShape,
- quantScale,
- quantOffset);
- const Model* 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, paramsValues);
- armnnDelegate::FillInput<T>(armnnDelegate, 0, paramsValues);
- armnnDelegate::FillInput<int32_t>(tfLiteDelegate, 1, indicesValues);
- armnnDelegate::FillInput<int32_t>(armnnDelegate, 1, indicesValues);
-
- // Run EnqueWorkload
- CHECK(tfLiteDelegate->Invoke() == kTfLiteOk);
- CHECK(armnnDelegate->Invoke() == kTfLiteOk);
-
- // Compare output data
- armnnDelegate::CompareOutputData<T>(tfLiteDelegate,
- armnnDelegate,
- expectedOutputShape,
- expectedOutputValues,
- 0);
-
- tfLiteDelegate.reset(nullptr);
- armnnDelegate.reset(nullptr);
-}
-} // anonymous namespace \ No newline at end of file
generated by cgit v1.2.1 (git 2.23.0) at 2024-07-25 20:48:18 +0000