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author | James Conroy <james.conroy@arm.com> | 2019-06-10 17:06:39 +0100 |
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committer | Matteo Martincigh <matteo.martincigh@arm.com> | 2019-06-17 11:16:58 +0000 |
commit | 4d1ff588288b1a7a98dd2fd7f2ba5717b8ecf102 (patch) | |
tree | a6b8dbd9434b887dab4c9915b0bacea500410517 /src/backends/reference/workloads/Mean.hpp | |
parent | aece4edd329a1d6a66472cb314c49b20dc243183 (diff) | |
download | armnn-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.hpp | 5 |
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 |