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174 lines
5.5 KiB
174 lines
5.5 KiB
//
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// Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved.
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// SPDX-License-Identifier: MIT
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//
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#include "ArgMinMaxTestHelper.hpp"
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#include <armnn_delegate.hpp>
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#include <flatbuffers/flatbuffers.h>
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#include <schema_generated.h>
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#include <doctest/doctest.h>
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namespace armnnDelegate
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{
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void ArgMaxFP32Test(std::vector<armnn::BackendId>& backends, int axisValue)
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{
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// Set input data
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std::vector<int32_t> inputShape { 1, 3, 2, 4 };
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std::vector<int32_t> outputShape { 1, 3, 4 };
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std::vector<int32_t> axisShape { 1 };
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std::vector<float> inputValues = { 1.0f, 2.0f, 3.0f, 4.0f,
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5.0f, 6.0f, 7.0f, 8.0f,
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10.0f, 20.0f, 30.0f, 40.0f,
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50.0f, 60.0f, 70.0f, 80.0f,
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100.0f, 200.0f, 300.0f, 400.0f,
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500.0f, 600.0f, 700.0f, 800.0f };
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std::vector<int32_t> expectedOutputValues = { 1, 1, 1, 1,
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1, 1, 1, 1,
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1, 1, 1, 1 };
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ArgMinMaxTest<float, int32_t>(tflite::BuiltinOperator_ARG_MAX,
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::tflite::TensorType_FLOAT32,
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backends,
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inputShape,
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axisShape,
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outputShape,
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inputValues,
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expectedOutputValues,
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axisValue,
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::tflite::TensorType_INT32);
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}
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void ArgMinFP32Test(std::vector<armnn::BackendId>& backends, int axisValue)
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{
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// Set input data
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std::vector<int32_t> inputShape { 1, 3, 2, 4 };
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std::vector<int32_t> outputShape { 1, 3, 2 };
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std::vector<int32_t> axisShape { 1 };
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std::vector<float> inputValues = { 1.0f, 2.0f, 3.0f, 4.0f,
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5.0f, 6.0f, 7.0f, 8.0f,
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10.0f, 20.0f, 30.0f, 40.0f,
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50.0f, 60.0f, 70.0f, 80.0f,
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100.0f, 200.0f, 300.0f, 400.0f,
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500.0f, 600.0f, 700.0f, 800.0f };
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std::vector<int32_t> expectedOutputValues = { 0, 0,
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0, 0,
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0, 0 };
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ArgMinMaxTest<float, int32_t>(tflite::BuiltinOperator_ARG_MIN,
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::tflite::TensorType_FLOAT32,
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backends,
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inputShape,
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axisShape,
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outputShape,
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inputValues,
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expectedOutputValues,
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axisValue,
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::tflite::TensorType_INT32);
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}
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void ArgMaxUint8Test(std::vector<armnn::BackendId>& backends, int axisValue)
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{
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// Set input data
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std::vector<int32_t> inputShape { 1, 1, 1, 5 };
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std::vector<int32_t> outputShape { 1, 1, 1 };
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std::vector<int32_t> axisShape { 1 };
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std::vector<uint8_t> inputValues = { 5, 2, 8, 10, 9 };
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std::vector<int32_t> expectedOutputValues = { 3 };
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ArgMinMaxTest<uint8_t, int32_t>(tflite::BuiltinOperator_ARG_MAX,
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::tflite::TensorType_UINT8,
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backends,
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inputShape,
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axisShape,
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outputShape,
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inputValues,
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expectedOutputValues,
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axisValue,
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::tflite::TensorType_INT32);
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}
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TEST_SUITE("ArgMinMax_CpuRefTests")
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{
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TEST_CASE ("ArgMaxFP32Test_CpuRef_Test")
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{
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std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
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ArgMaxFP32Test(backends, 2);
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}
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TEST_CASE ("ArgMinFP32Test_CpuRef_Test")
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{
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std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
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ArgMinFP32Test(backends, 3);
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}
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TEST_CASE ("ArgMaxUint8Test_CpuRef_Test")
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{
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std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
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ArgMaxUint8Test(backends, -1);
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}
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} // TEST_SUITE("ArgMinMax_CpuRefTests")
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TEST_SUITE("ArgMinMax_CpuAccTests")
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{
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TEST_CASE ("ArgMaxFP32Test_CpuAcc_Test")
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{
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std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
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ArgMaxFP32Test(backends, 2);
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}
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TEST_CASE ("ArgMinFP32Test_CpuAcc_Test")
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{
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std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
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ArgMinFP32Test(backends, 3);
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}
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TEST_CASE ("ArgMaxUint8Test_CpuAcc_Test")
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{
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std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
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ArgMaxUint8Test(backends, -1);
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}
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} // TEST_SUITE("ArgMinMax_CpuAccTests")
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TEST_SUITE("ArgMinMax_GpuAccTests")
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{
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TEST_CASE ("ArgMaxFP32Test_GpuAcc_Test")
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{
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std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
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ArgMaxFP32Test(backends, 2);
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}
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TEST_CASE ("ArgMinFP32Test_GpuAcc_Test")
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{
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std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
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ArgMinFP32Test(backends, 3);
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}
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TEST_CASE ("ArgMaxUint8Test_GpuAcc_Test")
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{
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std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
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ArgMaxUint8Test(backends, -1);
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}
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} // TEST_SUITE("ArgMinMax_GpuAccTests")
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} // namespace armnnDelegate
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