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authorJames Conroy <james.conroy@arm.com>2019-06-10 17:06:39 +0100
committerMatteo Martincigh <matteo.martincigh@arm.com>2019-06-17 11:16:58 +0000
commit4d1ff588288b1a7a98dd2fd7f2ba5717b8ecf102 (patch)
treea6b8dbd9434b887dab4c9915b0bacea500410517 /src/backends/reference/workloads/Mean.hpp
parentaece4edd329a1d6a66472cb314c49b20dc243183 (diff)
downloadarmnn-4d1ff588288b1a7a98dd2fd7f2ba5717b8ecf102.tar.gz
IVGCVSW-3221 Refactor Mean ref workload and tests
* Renamed RefMeanFloat32Workload and RefMeanUint8Workload to RefMeanWorkload, updated references to reflect this change. * Refactored RefFloorWorkload to use Decoders/Encoders, to support the use of multiple data types. * Deleted reference Unit8 Mean tests as they were duplicates of the Float32 tests. Refactored these tests to support multiple data types and updated references. * Adjusted the values used in the tests' input tensors so that they are more like floating point numbers e.g. change 1.0f to 1.5f. * Replace size_t with unsigned int in Mean ref workload, for better compatibility with the Encoder/Decoder, removed some unnecessary casts after this. * Added ValidateTensorDataTypesMatch() function to WorkloadData.cpp, added CreateIncorrectDimensionsErrorMsg function to RefLayerSupport.cpp. * Added passing and failing tests for ref IsMeanSupported. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: Id3d44463d1385255c727a497d4026d21a49e7eb2
Diffstat (limited to 'src/backends/reference/workloads/Mean.hpp')
-rw-r--r--src/backends/reference/workloads/Mean.hpp5
1 files changed, 3 insertions, 2 deletions
diff --git a/src/backends/reference/workloads/Mean.hpp b/src/backends/reference/workloads/Mean.hpp
index 38c2e39653..dfb0302bf9 100644
--- a/src/backends/reference/workloads/Mean.hpp
+++ b/src/backends/reference/workloads/Mean.hpp
@@ -7,6 +7,7 @@
#include "armnn/DescriptorsFwd.hpp"
#include "armnn/Tensor.hpp"
+#include "BaseIterator.hpp"
#include <vector>
@@ -15,7 +16,7 @@ namespace armnn
void Mean(const TensorInfo& inputInfo,
const TensorInfo& outputInfo,
const std::vector<unsigned int>& axis,
- const float* inputData,
- float* outputData);
+ Decoder<float>& input,
+ Encoder<float>& output);
} //namespace armnn