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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-09-24 16:31:08 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:55:19 +0000 |
| commit | ebf6b8a00b77ea796d877bc1d0e6850c055318a6 (patch) | |
| tree | a8c2bb26d951dd0d25c5e223358d6695ad5f0468 /tests/validation/reference/GEMMLowp.h | |
| parent | 96e922e8ee4187906211ee0d1dd0f3e27667c170 (diff) | |
| download | ComputeLibrary-ebf6b8a00b77ea796d877bc1d0e6850c055318a6.tar.gz | |
COMPMID-1518: Add support for GEMM3D in CLGEMMLowpMatrixMultiplyCore
Change-Id: Ib14ac821ee5d4aff80bd602cd3e76e7018abb5e6
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/150268
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'tests/validation/reference/GEMMLowp.h')
| -rw-r--r-- | tests/validation/reference/GEMMLowp.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tests/validation/reference/GEMMLowp.h b/tests/validation/reference/GEMMLowp.h index a3d0bebe3f..4396155b96 100644 --- a/tests/validation/reference/GEMMLowp.h +++ b/tests/validation/reference/GEMMLowp.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -38,13 +38,13 @@ namespace reference template <typename T> SimpleTensor<uint8_t> gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor<T> &in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min = 0, int32_t max = 0); template <typename T1, typename T2> -SimpleTensor<T1> gemmlowp_matrix_multiply_core(const SimpleTensor<T2> &a, const SimpleTensor<T2> &b, int32_t a_offset, int32_t b_offset); +SimpleTensor<T1> gemmlowp_matrix_multiply_core(const SimpleTensor<T2> &a, const SimpleTensor<T2> &b, TensorShape shape_c, int32_t a_offset, int32_t b_offset); template <typename T> SimpleTensor<uint8_t> gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor<T> &in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift); template <typename T1, typename T2> -SimpleTensor<T1> gemmlowp(const SimpleTensor<T2> &a, const SimpleTensor<T2> &b); +SimpleTensor<T1> gemmlowp(const SimpleTensor<T2> &a, const SimpleTensor<T2> &b, TensorShape shape_c); template <typename T> SimpleTensor<uint8_t> gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor<T> &in, const SimpleTensor<T> &bias, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, |