aboutsummaryrefslogtreecommitdiff
path: root/src/backends/backendsCommon/test/ActivationFixture.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/backendsCommon/test/ActivationFixture.hpp')
-rw-r--r--src/backends/backendsCommon/test/ActivationFixture.hpp23
1 files changed, 8 insertions, 15 deletions
diff --git a/src/backends/backendsCommon/test/ActivationFixture.hpp b/src/backends/backendsCommon/test/ActivationFixture.hpp
index d28174d6a6..c61f3f097e 100644
--- a/src/backends/backendsCommon/test/ActivationFixture.hpp
+++ b/src/backends/backendsCommon/test/ActivationFixture.hpp
@@ -11,20 +11,13 @@
#include <test/TensorHelpers.hpp>
-#include <boost/multi_array.hpp>
-
struct ActivationFixture
{
ActivationFixture()
{
- auto boostArrayExtents = boost::extents
- [armnn::numeric_cast<boost::multi_array_types::extent_gen::index>(batchSize)]
- [armnn::numeric_cast<boost::multi_array_types::extent_gen::index>(channels)]
- [armnn::numeric_cast<boost::multi_array_types::extent_gen::index>(height)]
- [armnn::numeric_cast<boost::multi_array_types::extent_gen::index>(width)];
- output.resize(boostArrayExtents);
- outputExpected.resize(boostArrayExtents);
- input.resize(boostArrayExtents);
+ 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 };
@@ -32,7 +25,7 @@ struct ActivationFixture
inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32);
outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32);
- input = MakeRandomTensor<float, 4>(inputTensorInfo, 21453);
+ input = MakeRandomTensor<float>(inputTensorInfo, 21453);
}
unsigned int width = 17;
@@ -40,9 +33,9 @@ struct ActivationFixture
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;
+ std::vector<float> output;
+ std::vector<float> outputExpected;
+ std::vector<float> input;
armnn::TensorInfo inputTensorInfo;
armnn::TensorInfo outputTensorInfo;
@@ -57,6 +50,6 @@ struct PositiveActivationFixture : public ActivationFixture
{
PositiveActivationFixture()
{
- input = MakeRandomTensor<float, 4>(inputTensorInfo, 2342423, 0.0f, 1.0f);
+ input = MakeRandomTensor<float>(inputTensorInfo, 2342423, 0.0f, 1.0f);
}
}; \ No newline at end of file