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rk35xx-android14/external/armnn/delegate/test/Pooling2dTest.cpp

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//
// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "Pooling2dTestHelper.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 <schema_generated.h>
#include <tensorflow/lite/version.h>
#include <doctest/doctest.h>
namespace armnnDelegate
{
void MaxPool2dFP32PaddingValidTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 1, 2, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { 12.0f, 7.0f };
Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
2,
2,
2,
2);
}
void MaxPool2dInt8PaddingValidTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 1, 2, 1 };
std::vector<int8_t > inputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
std::vector<int8_t> expectedOutputValues = { 12, 7 };
Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_INT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
2,
2,
2,
2,
tflite::ActivationFunctionType_NONE,
2.5f,
1);
}
void MaxPool2dFP32PaddingSameTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { 12.0f, 7.0f, 3.0f, -1.0f };
Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
2,
2);
}
void MaxPool2dInt8PaddingSameTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<int8_t> inputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
std::vector<int8_t> expectedOutputValues = { 12, 7, 3, -1 };
Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_INT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
2,
2,
tflite::ActivationFunctionType_NONE,
2.5f,
1);
}
void MaxPool2dFP32ReluTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 3, 1 };
std::vector<float> inputValues = { -5.0f, -8.0f, -10.0f, 7.0f,
-8.0f, -12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { 0.0f, 0.0f, 7.0f, 3.0f, 0.0f, 2.0f };
Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
1,
1,
2,
2,
::tflite::ActivationFunctionType_RELU);
}
void MaxPool2dInt8ReluTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 3, 1 };
std::vector<int8_t> inputValues = { -5, -8, -10, 7,
-8, -12, -15, 2,
3, -4, -1, -11 };
std::vector<int8_t> expectedOutputValues = { 1, 1, 7, 3, 1, 2 };
Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_INT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
1,
1,
2,
2,
::tflite::ActivationFunctionType_RELU,
2.0f,
1);
}
void MaxPool2dFP32Relu6Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<float> inputValues = { -5.0f, -8.0f, -10.0f, 7.0f,
-8.0f, -12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { 0.0f, 0.0f, 3.0f, 0.0f };
Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
1,
1,
::tflite::ActivationFunctionType_RELU6);
}
void MaxPool2dInt8Relu6Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<int8_t> inputValues = { -5, -8, -10, 7,
-8, -12, -15, 2,
3, -4, -1, -11 };
std::vector<int8_t> expectedOutputValues = { 1, 1, 3, 1 };
Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_INT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
1,
1,
::tflite::ActivationFunctionType_RELU6,
2.0f,
1);
}
void MaxPool2dUint8PaddingSameTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<uint8_t> inputValues = { 5, 8, 10, 7,
8, 12, 15, 2,
3, 4, 1, 11 };
std::vector<uint8_t> expectedOutputValues = { 12, 15, 4, 11 };
Pooling2dTest<uint8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_UINT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
2,
2,
tflite::ActivationFunctionType_NONE,
2.5f,
1);
}
void MaxPool2dUint8ReluTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 3, 1 };
std::vector<uint8_t> inputValues = { 12, 8, 10, 15,
8, 5, 7, 2,
3, 4, 1, 11 };
std::vector<uint8_t> expectedOutputValues = { 12, 10, 15, 8, 7, 11 };
Pooling2dTest<uint8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_UINT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
1,
1,
2,
2,
::tflite::ActivationFunctionType_RELU,
2.0f,
1);
}
void MaxPool2dInt16PaddingSameTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<int16_t> inputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
std::vector<int16_t> expectedOutputValues = { 12, 7, 3, -1 };
Pooling2dTest<int16_t>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_INT16,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
2,
2,
tflite::ActivationFunctionType_NONE,
2.5f,
0);
}
void MaxPool2dInt16ReluTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 3, 1 };
std::vector<int16_t> inputValues = { -5, -8, -10, 7,
-8, -12, -15, 2,
3, -4, -1, -11 };
std::vector<int16_t> expectedOutputValues = { 0, 0, 7, 3, 0, 2 };
Pooling2dTest<int16_t>(tflite::BuiltinOperator_MAX_POOL_2D,
::tflite::TensorType_INT16,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
1,
1,
2,
2,
::tflite::ActivationFunctionType_RELU,
2.0f,
0);
}
void AveragePool2dFP32PaddingValidTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 1, 2, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { 5.75f, -4.0f };
Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
2,
2,
2,
2);
}
void AveragePool2dInt8PaddingValidTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 1, 2, 1 };
std::vector<int8_t > inputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
std::vector<int8_t> expectedOutputValues = { 6, -4 };
Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_INT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
2,
2,
2,
2,
tflite::ActivationFunctionType_NONE,
2.5f,
1);
}
void AveragePool2dFP32PaddingSameTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { 5.75f, -4.0f, -0.5f, -6.0f };
Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
2,
2);
}
void AveragePool2dInt8PaddingSameTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<int8_t > inputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
std::vector<int8_t> expectedOutputValues = { 6, -4, -1, -6 };
Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_INT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
2,
2,
tflite::ActivationFunctionType_NONE,
2.5f,
1);
}
void AveragePool2dFP32ReluTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 3, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
-8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, 11.0f };
std::vector<float> expectedOutputValues = { 1.75f, 0.0f, 0.0f, 0.75f, 0.0f, 0.0f };
Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
1,
1,
2,
2,
::tflite::ActivationFunctionType_RELU);
}
void AveragePool2dInt8ReluTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 3, 1 };
std::vector<int8_t> inputValues = { -5, 8, -10, 7,
-8, 12, -15, 2,
3, -4, -1, 11 };
std::vector<int8_t> expectedOutputValues = { 2, 1, 1, 1, 1, 1 };
Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_INT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
1,
1,
2,
2,
::tflite::ActivationFunctionType_RELU,
2.5f,
1);
}
void AveragePool2dFP32Relu6Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
-8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, 11.0f };
std::vector<float> expectedOutputValues = { 0.0f, 0.0f, 3.0f, 0.0f };
Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
1,
1,
::tflite::ActivationFunctionType_RELU6);
}
void AveragePool2dInt8Relu6Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<int8_t> inputValues = { -5, 8, -10, 7,
-8, 12, -15, 2,
3, -4, -1, 11 };
std::vector<int8_t> expectedOutputValues = { 1, 1, 3, 1 };
Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_INT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
1,
1,
::tflite::ActivationFunctionType_RELU6,
2.5f,
1);
}
void AveragePool2dUint8PaddingSameTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<uint8_t> inputValues = { 5, 8, 10, 7,
8, 12, 15, 2,
3, 4, 1, 11 };
std::vector<uint8_t> expectedOutputValues = { 8, 9, 4, 6 };
Pooling2dTest<uint8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_UINT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
2,
2,
tflite::ActivationFunctionType_NONE,
2.5f,
1);
}
void AveragePool2dUint8ReluTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 3, 1 };
std::vector<uint8_t> inputValues = { 12, 8, 10, 15,
8, 5, 7, 2,
3, 4, 1, 11 };
std::vector<uint8_t> expectedOutputValues = { 8, 8, 9, 5, 4, 5 };
Pooling2dTest<uint8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_UINT8,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
1,
1,
2,
2,
::tflite::ActivationFunctionType_RELU,
2.0f,
1);
}
void AveragePool2dInt16PaddingSameTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<int16_t > inputValues = { -5, 8, -10, 7,
8, 12, -15, 2,
3, -4, -1, -11 };
std::vector<int16_t> expectedOutputValues = { 6, -4, -1, -6 };
Pooling2dTest<int16_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_INT16,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
2,
2,
tflite::ActivationFunctionType_NONE,
2.5f,
0);
}
void AveragePool2dInt16ReluTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 3, 1 };
std::vector<int16_t> inputValues = { -5, 8, -10, 7,
-8, 12, -15, 2,
3, -4, -1, 11 };
std::vector<int16_t> expectedOutputValues = { 2, 0, 0, 1, 0, 0 };
Pooling2dTest<int16_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D,
::tflite::TensorType_INT16,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
1,
1,
2,
2,
::tflite::ActivationFunctionType_RELU,
2.5f,
0);
}
void L2Pool2dFP32PaddingValidTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 1, 2, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { 8.616844f, 9.721111f };
Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
2,
2,
2,
2);
}
void L2Pool2dFP32PaddingSameTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, -11.0f };
std::vector<float> expectedOutputValues = { 8.616844f, 9.721111f, 3.535534f, 7.81025f };
Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
2,
2);
}
void L2Pool2dFP32ReluTest(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 3, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
-8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, 11.0f };
std::vector<float> expectedOutputValues = { 8.616844f, 11.543396f, 9.721111f, 7.632169f, 9.8234415f, 9.367497f };
Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_VALID,
1,
1,
2,
2,
::tflite::ActivationFunctionType_RELU);
}
void L2Pool2dFP32Relu6Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> inputShape { 1, 3, 4, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
-8.0f, 12.0f, -15.0f, 2.0f,
3.0f, -4.0f, -1.0f, 11.0f };
std::vector<float> expectedOutputValues = { 5.0f, 6.0f, 3.0f, 1.0f };
Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D,
::tflite::TensorType_FLOAT32,
backends,
inputShape,
outputShape,
inputValues,
expectedOutputValues,
::tflite::Padding_SAME,
2,
2,
1,
1,
::tflite::ActivationFunctionType_RELU6);
}
TEST_SUITE("Pooling2d_GpuAccTests")
{
TEST_CASE ("MaxPooling2d_FP32_PaddingValid_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dFP32PaddingValidTest(backends);
}
TEST_CASE ("MaxPooling2d_Int8_PaddingValid_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dInt8PaddingValidTest(backends);
}
TEST_CASE ("MaxPooling2d_FP32_PaddingSame_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dFP32PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_Int8_PaddingSame_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dInt8PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_FP32_Relu_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dFP32ReluTest(backends);
}
TEST_CASE ("MaxPooling2d_Int8_Relu_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dInt8ReluTest(backends);
}
TEST_CASE ("MaxPooling2d_FP32_Relu6_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dFP32Relu6Test(backends);
}
TEST_CASE ("MaxPooling2d_Int8_Relu6_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dInt8Relu6Test(backends);
}
TEST_CASE ("MaxPooling2d_Uint8_PaddingSame_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dUint8PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_Uint8_Relu_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
MaxPool2dUint8ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_PaddingValid_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dFP32PaddingValidTest(backends);
}
TEST_CASE ("AveragePooling2d_Int8_PaddingValid_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dInt8PaddingValidTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_PaddingSame_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dFP32PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_Int8_PaddingSame_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dInt8PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_Relu_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dFP32ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_Relu6_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dFP32Relu6Test(backends);
}
TEST_CASE ("AveragePooling2d_Int8_Relu_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dInt8ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_Int8_Relu6_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dInt8Relu6Test(backends);
}
TEST_CASE ("AveragePooling2d_Uint8_PaddingSame_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dUint8PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_Uint8_Relu_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
AveragePool2dUint8ReluTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_PaddingValid_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
L2Pool2dFP32PaddingValidTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_PaddingSame_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
L2Pool2dFP32PaddingSameTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_Relu_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
L2Pool2dFP32ReluTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_Relu6_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
L2Pool2dFP32Relu6Test(backends);
}
} // TEST_SUITE("Pooling2d_GpuAccTests")
TEST_SUITE("Pooling2d_CpuAccTests")
{
TEST_CASE ("MaxPooling2d_FP32_PaddingValid_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dFP32PaddingValidTest(backends);
}
TEST_CASE ("MaxPooling2d_Int8_PaddingValid_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dInt8PaddingValidTest(backends);
}
TEST_CASE ("MaxPooling2d_FP32_PaddingSame_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dFP32PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_Int8_PaddingSame_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dInt8PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_FP32_Relu_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dFP32ReluTest(backends);
}
TEST_CASE ("MaxPooling2d_Int8_Relu_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dInt8ReluTest(backends);
}
TEST_CASE ("MaxPooling2d_FP32_Relu6_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dFP32Relu6Test(backends);
}
TEST_CASE ("MaxPooling2d_Int8_Relu6_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dInt8Relu6Test(backends);
}
TEST_CASE ("MaxPooling2d_Uint8_PaddingSame_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dUint8PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_Uint8_Relu_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
MaxPool2dUint8ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_PaddingValid_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dFP32PaddingValidTest(backends);
}
TEST_CASE ("AveragePooling2d_Int8_PaddingValid_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dInt8PaddingValidTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_PaddingSame_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dFP32PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_Int8_PaddingSame_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dInt8PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_Relu_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dFP32ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_Relu6_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dFP32Relu6Test(backends);
}
TEST_CASE ("AveragePooling2d_Int8_Relu_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dInt8ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_Int8_Relu6_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dInt8Relu6Test(backends);
}
TEST_CASE ("AveragePooling2d_Uint8_PaddingSame_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dUint8PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_Uint8_Relu_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
AveragePool2dUint8ReluTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_PaddingValid_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
L2Pool2dFP32PaddingValidTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_PaddingSame_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
L2Pool2dFP32PaddingSameTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_Relu_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
L2Pool2dFP32ReluTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_Relu6_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
L2Pool2dFP32Relu6Test(backends);
}
} // TEST_SUITE("Pooling2d_CpuAccTests")
TEST_SUITE("Pooling2d_CpuRefTests")
{
TEST_CASE ("MaxPooling2d_FP32_PaddingValid_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dFP32PaddingValidTest(backends);
}
TEST_CASE ("MaxPooling2d_Int8_PaddingValid_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dInt8PaddingValidTest(backends);
}
TEST_CASE ("MaxPooling2d_FP32_PaddingSame_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dFP32PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_Int8_PaddingSame_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dInt8PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_FP32_Relu_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dFP32ReluTest(backends);
}
TEST_CASE ("MaxPooling2d_Int8_Relu_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dInt8ReluTest(backends);
}
TEST_CASE ("MaxPooling2d_FP32_Relu6_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dFP32Relu6Test(backends);
}
TEST_CASE ("MaxPooling2d_Int8_Relu6_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dInt8Relu6Test(backends);
}
TEST_CASE ("MaxPooling2d_Uint8_PaddingSame_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dUint8PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_Uint8_Relu_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dUint8ReluTest(backends);
}
TEST_CASE ("MaxPooling2d_Int16_PaddingSame_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dInt16PaddingSameTest(backends);
}
TEST_CASE ("MaxPooling2d_Int16_Relu_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
MaxPool2dInt16ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_PaddingValid_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dFP32PaddingValidTest(backends);
}
TEST_CASE ("AveragePooling2d_Int8_PaddingValid_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dInt8PaddingValidTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_PaddingSame_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dFP32PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_Int8_PaddingSame_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dInt8PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_Relu_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dFP32ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_FP32_Relu6_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dFP32Relu6Test(backends);
}
TEST_CASE ("AveragePooling2d_Int8_Relu_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dInt8ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_Int8_Relu6_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dInt8Relu6Test(backends);
}
TEST_CASE ("AveragePooling2d_Uint8_PaddingSame_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dUint8PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_Uint8_Relu_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dUint8ReluTest(backends);
}
TEST_CASE ("AveragePooling2d_Int16_PaddingSame_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dInt16PaddingSameTest(backends);
}
TEST_CASE ("AveragePooling2d_Int16_Relu_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
AveragePool2dInt16ReluTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_PaddingValid_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
L2Pool2dFP32PaddingValidTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_PaddingSame_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
L2Pool2dFP32PaddingSameTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_Relu_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
L2Pool2dFP32ReluTest(backends);
}
TEST_CASE ("L2Pooling2d_FP32_Relu6_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
L2Pool2dFP32Relu6Test(backends);
}
} // TEST_SUITE("Pooling2d_CpuRefTests")
} // namespace armnnDelegate
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