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| author | Gian Marco <gianmarco.iodice@arm.com> | 2017-11-21 10:57:50 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:41:17 +0000 |
| commit | 05288a2b871ef99f544771621c3bba409b2f70df (patch) | |
| tree | 21e3d2a9927ef31f6d5bcdd5523c4c8e933047a6 /tests/datasets/SmallGEMMLowpDataset.h | |
| parent | c82799003fbfdc5bb9526ff944e41eaae23e3f03 (diff) | |
| download | ComputeLibrary-05288a2b871ef99f544771621c3bba409b2f70df.tar.gz | |
COMPMID-697 - Rework GEMMLowp interface on OpenCL
Reworked the interface of GemmLowp in order to make easy the integration
in Android NN
- Added support for different output stage
- Added validation for both matrix multiplication and output stage
- Added bounded relu support in the output stage
- Added in32_t bias support
- Added optimized path for vector by matrix case
This rework is required for:
- Convolution quantized
- Fully connected quantized
Change-Id: I512283d406099cf8c614dd89d0a97ed411143afc
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110625
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Diffstat (limited to 'tests/datasets/SmallGEMMLowpDataset.h')
| -rw-r--r-- | tests/datasets/SmallGEMMLowpDataset.h | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/tests/datasets/SmallGEMMLowpDataset.h b/tests/datasets/SmallGEMMLowpDataset.h index 881546e70f..1d4ab53be5 100644 --- a/tests/datasets/SmallGEMMLowpDataset.h +++ b/tests/datasets/SmallGEMMLowpDataset.h @@ -42,11 +42,13 @@ class SmallGEMMLowpDataset final : public GEMMLowpDataset public: SmallGEMMLowpDataset() { + add_config(TensorShape(21U, 2U), TensorShape(43U, 21U), TensorShape(43U, 2U), 0, 0); add_config(TensorShape(21U, 13U), TensorShape(33U, 21U), TensorShape(33U, 13U), 0, 0); + add_config(TensorShape(31U, 3U), TensorShape(72U, 31U), TensorShape(72U, 3U), -2, 13); 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(38U, 43U), TensorShape(21U, 38U), TensorShape(21U, 43U), -3, -2); add_config(TensorShape(32U, 72U), TensorShape(17U, 32U), TensorShape(17U, 72U), -9, 1); } }; |