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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnnTestUtils/TensorCopyUtils.hpp>
#include <armnnTestUtils/WorkloadTestUtils.hpp>
#include <armnn/utility/NumericCast.hpp>
#include <armnnTestUtils/TensorHelpers.hpp>
struct ActivationFixture
{
ActivationFixture()
{
output.resize(batchSize * channels * height * width);
outputExpected.resize(batchSize * channels * height * width);
input.resize(batchSize * channels * height * width);
unsigned int inputShape[] = { batchSize, channels, height, width };
unsigned int outputShape[] = { batchSize, channels, height, width };
inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32);
outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32);
input = MakeRandomTensor<float>(inputTensorInfo, 21453);
}
unsigned int width = 17;
unsigned int height = 29;
unsigned int channels = 2;
unsigned int batchSize = 5;
std::vector<float> output;
std::vector<float> outputExpected;
std::vector<float> input;
armnn::TensorInfo inputTensorInfo;
armnn::TensorInfo outputTensorInfo;
// Parameters used by some of the activation functions.
float a = 0.234f;
float b = -12.345f;
};
struct PositiveActivationFixture : public ActivationFixture
{
PositiveActivationFixture()
{
input = MakeRandomTensor<float>(inputTensorInfo, 2342423, 0.0f, 1.0f);
}
};
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