IVGCVSW-1946: Remove armnn/src from the include paths

Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e

1 files changed, 61 insertions, 0 deletions

diff --git a/src/backends/backendsCommon/test/ActivationFixture.hpp b/src/backends/backendsCommon/test/ActivationFixture.hpp
new file mode 100644
index 0000000000..8ff77f6c5d
--- /dev/null
+++ b/src/backends/backendsCommon/test/ActivationFixture.hpp
@@ -0,0 +1,61 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "TensorCopyUtils.hpp"
+#include "WorkloadTestUtils.hpp"
+
+#include <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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