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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-11-16 14:37:08 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 41caa625231c24533a514606bbf2683f7d4964ad (patch) | |
| tree | 4e897dfbcc77d57c996f15bab014b20e4cb4868d /tests/validation/fixtures/NormalizationLayerFixture.h | |
| parent | 181e65145d153210ec5587a42d2938e27e1d5b01 (diff) | |
| download | ComputeLibrary-41caa625231c24533a514606bbf2683f7d4964ad.tar.gz | |
COMPMID-683: Normalization layer API clarification.
Adds a is_scaled parameter in the NormalizationLayerInfo that flags if
the alpha parameter should be scaled by the normalization size of not.
Unscaled parameter is used by [Krichevksy 2012] which is used in
AndroidNN and TensorFlow LRN layer.
Change-Id: Iad2aa5e688cf4dcd6cc77a6e28c0663764f34ccb
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/96102
Reviewed-by: Diego Lopez Recas <diego.lopezrecas@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'tests/validation/fixtures/NormalizationLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/NormalizationLayerFixture.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tests/validation/fixtures/NormalizationLayerFixture.h b/tests/validation/fixtures/NormalizationLayerFixture.h index 696d14fbbb..67881d0347 100644 --- a/tests/validation/fixtures/NormalizationLayerFixture.h +++ b/tests/validation/fixtures/NormalizationLayerFixture.h @@ -47,10 +47,10 @@ class NormalizationValidationFixedPointFixture : public framework::Fixture { public: template <typename...> - void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, DataType data_type, int fractional_bits) + void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, bool is_scaled, DataType data_type, int fractional_bits) { _fractional_bits = fractional_bits; - NormalizationLayerInfo info(norm_type, norm_size, 5, beta); + NormalizationLayerInfo info(norm_type, norm_size, 5, beta, 1.f, is_scaled); _target = compute_target(shape, info, data_type, fractional_bits); _reference = compute_reference(shape, info, data_type, fractional_bits); @@ -122,9 +122,9 @@ class NormalizationValidationFixture : public NormalizationValidationFixedPointF { public: template <typename...> - void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, DataType data_type) + void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, bool is_scaled, DataType data_type) { - NormalizationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, norm_type, norm_size, beta, data_type, 0); + NormalizationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, norm_type, norm_size, beta, is_scaled, data_type, 0); } }; } // namespace validation |