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| author | Gian Marco <gianmarco.iodice@arm.com> | 2017-11-08 12:24:09 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | e75a02b60736f37c34388c23c0ccee230f65da59 (patch) | |
| tree | f8e9423e40589e99bd8be6c1e740b17792e2058e /tests/datasets/SmallGEMMLowpDataset.h | |
| parent | 6c0348f4cbf6e30a715780f50aebf6dd0a2a8fc3 (diff) | |
| download | ComputeLibrary-e75a02b60736f37c34388c23c0ccee230f65da59.tar.gz | |
COMPMID-675 - Reworked NEGEMMLowp interface/function
The new interface makes NEGEMMLowp able to work with ASYMM8 data types.
Implemented 2 new functions:
- NEGEMMLowpMatrixMultiplyCore
- NEGEMMLowpOutputStage
These functions should make the integration in android NN doable
For more information about GEMMLowp:
https://github.com/google/gemmlowp/blob/master/doc/low-precision.md
Change-Id: Ie2c775f45234f68ca53dba644b3a912b997fd890
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95504
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'tests/datasets/SmallGEMMLowpDataset.h')
| -rw-r--r-- | tests/datasets/SmallGEMMLowpDataset.h | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/tests/datasets/SmallGEMMLowpDataset.h b/tests/datasets/SmallGEMMLowpDataset.h index b7fe3907ad..881546e70f 100644 --- a/tests/datasets/SmallGEMMLowpDataset.h +++ b/tests/datasets/SmallGEMMLowpDataset.h @@ -42,12 +42,12 @@ class SmallGEMMLowpDataset final : public GEMMLowpDataset public: SmallGEMMLowpDataset() { - add_config(TensorShape(21U, 13U), TensorShape(33U, 21U), TensorShape(33U, 13U), 0, 0, 0, 1, 0); - add_config(TensorShape(52U, 13U), TensorShape(33U, 52U), TensorShape(33U, 13U), 0, 4, 3, 2, 0); - add_config(TensorShape(52U, 26U), TensorShape(33U, 52U), TensorShape(33U, 26U), -2, 0, 1, 1, 0); - add_config(TensorShape(31U, 27U), TensorShape(23U, 31U), TensorShape(23U, 27U), 5, 13, -6, 2, 2); - add_config(TensorShape(38U, 12U), TensorShape(21U, 38U), TensorShape(21U, 12U), -3, -2, 8, 4, 3); - add_config(TensorShape(32U, 72U), TensorShape(17U, 32U), TensorShape(17U, 72U), -9, 1, -3, 3, 1); + add_config(TensorShape(21U, 13U), TensorShape(33U, 21U), TensorShape(33U, 13U), 0, 0); + add_config(TensorShape(52U, 13U), TensorShape(33U, 52U), TensorShape(33U, 13U), 0, 4); + add_config(TensorShape(52U, 26U), TensorShape(33U, 52U), TensorShape(33U, 26U), -2, 0); + add_config(TensorShape(31U, 27U), TensorShape(23U, 31U), TensorShape(23U, 27U), 5, 13); + add_config(TensorShape(38U, 12U), TensorShape(21U, 38U), TensorShape(21U, 12U), -3, -2); + add_config(TensorShape(32U, 72U), TensorShape(17U, 32U), TensorShape(17U, 72U), -9, 1); } }; } // namespace datasets |