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authorAron Virginas-Tar <Aron.Virginas-Tar@arm.com>2019-11-05 18:00:21 +0000
committerFrancis Murtagh <francis.murtagh@arm.com>2019-11-06 12:10:02 +0000
commit5edc8816118fcddb2681379db04c978041ce8b46 (patch)
tree22e4382138e9963d0ed3dacefda4fb142877e1fc /src/backends/backendsCommon/test/WorkloadDataValidation.cpp
parentec33a91ec1557b78b2d01975ec4c5eaf24aa058c (diff)
downloadarmnn-5edc8816118fcddb2681379db04c978041ce8b46.tar.gz
IVGCVSW-3837 Add support for per-axis quantization to reference Convolution2d workload
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I0ac08ba4864d48e6f64c4ac645dad8ea850be112
Diffstat (limited to 'src/backends/backendsCommon/test/WorkloadDataValidation.cpp')
-rw-r--r--src/backends/backendsCommon/test/WorkloadDataValidation.cpp11
1 files changed, 6 insertions, 5 deletions
diff --git a/src/backends/backendsCommon/test/WorkloadDataValidation.cpp b/src/backends/backendsCommon/test/WorkloadDataValidation.cpp
index 9773914220..70d00b3a91 100644
--- a/src/backends/backendsCommon/test/WorkloadDataValidation.cpp
+++ b/src/backends/backendsCommon/test/WorkloadDataValidation.cpp
@@ -605,15 +605,16 @@ BOOST_AUTO_TEST_CASE(BiasPerAxisQuantization_Validate)
const TensorShape weightShape{ cOutput, cInput, hInput, wInput };
const TensorShape biasShape { cOutput };
- constexpr DataType dataType = DataType::QuantisedAsymm8;
- constexpr DataType biasType = DataType::Signed32;
+ constexpr DataType inputType = DataType::QuantisedAsymm8;
+ constexpr DataType weightType = DataType::QuantizedSymm8PerAxis;
+ constexpr DataType biasType = DataType::Signed32;
constexpr float perTensorScale = 1.5f;
- const TensorInfo inputInfo (inputShape, dataType, perTensorScale);
- const TensorInfo outputInfo(outputShape, dataType, perTensorScale);
+ const TensorInfo inputInfo (inputShape, inputType, perTensorScale);
+ const TensorInfo outputInfo(outputShape, inputType, perTensorScale);
const std::vector<float> weightPerAxisScales = { 2.50f, 3.50f };
- const TensorInfo weightInfo(weightShape, dataType, weightPerAxisScales, 0);
+ const TensorInfo weightInfo(weightShape, weightType, weightPerAxisScales, 0);
Convolution2dQueueDescriptor queueDescriptor;
queueDescriptor.m_Parameters.m_BiasEnabled = true;