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| author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2018-11-01 16:15:57 +0000 |
|---|---|---|
| committer | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2018-11-02 14:49:21 +0000 |
| commit | c9cc80455ff29fd2c8622c9487ec9c57ade6ea30 (patch) | |
| tree | 41b1491312fe6082b39d5d37ffa0dcf0ab0f2817 /src/backends/test/ActivationFixture.hpp | |
| parent | 207ef9a6b8b3ea0afe9a095639f67b5dedd095d7 (diff) | |
| download | armnn-c9cc80455ff29fd2c8622c9487ec9c57ade6ea30.tar.gz | |
IVGCVSW-1946: Remove armnn/src from the include paths
Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
Diffstat (limited to 'src/backends/test/ActivationFixture.hpp')
| -rw-r--r-- | src/backends/test/ActivationFixture.hpp | 61 |
1 files changed, 0 insertions, 61 deletions
diff --git a/src/backends/test/ActivationFixture.hpp b/src/backends/test/ActivationFixture.hpp deleted file mode 100644 index 5028b252e1..0000000000 --- a/src/backends/test/ActivationFixture.hpp +++ /dev/null @@ -1,61 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// -#pragma once - -#include "TensorCopyUtils.hpp" -#include "WorkloadTestUtils.hpp" - -#include <armnn/test/TensorHelpers.hpp> - -#include <boost/numeric/conversion/cast.hpp> -#include <boost/multi_array.hpp> - -struct ActivationFixture -{ - ActivationFixture() - { - auto boostArrayExtents = boost::extents - [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(batchSize)] - [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(channels)] - [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(height)] - [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(width)]; - output.resize(boostArrayExtents); - outputExpected.resize(boostArrayExtents); - input.resize(boostArrayExtents); - - 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, 4>(inputTensorInfo, 21453); - } - - unsigned int width = 17; - unsigned int height = 29; - unsigned int channels = 2; - unsigned int batchSize = 5; - - boost::multi_array<float, 4> output; - boost::multi_array<float, 4> outputExpected; - boost::multi_array<float, 4> 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, 4>(inputTensorInfo, 2342423, 0.0f, 1.0f); - } -};
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