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author | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-04-08 14:10:15 +0100 |
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committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-04-17 14:20:01 +0000 |
commit | d1d7722cfc5ee130115d8d195068a98b16102a21 (patch) | |
tree | f68f3ecca02ab4edde90189266fa186ec1a69474 /tests/validation/reference/SoftmaxLayer.cpp | |
parent | 4c6bd514a8d424a29b776754f1b3426fa3a8c339 (diff) | |
download | ComputeLibrary-d1d7722cfc5ee130115d8d195068a98b16102a21.tar.gz |
COMPMID-3314: Enable OpenMP in the reference tests
Change-Id: I05b5fedb998317144e0dd13a6377a97207b27f46
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3024
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/reference/SoftmaxLayer.cpp')
-rw-r--r-- | tests/validation/reference/SoftmaxLayer.cpp | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/tests/validation/reference/SoftmaxLayer.cpp b/tests/validation/reference/SoftmaxLayer.cpp index 0e470260a9..ee7a5f175a 100644 --- a/tests/validation/reference/SoftmaxLayer.cpp +++ b/tests/validation/reference/SoftmaxLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -55,6 +55,9 @@ SimpleTensor<T> softmax_layer_generic(const SimpleTensor<T> &src, float beta, si upper_dims *= src.shape()[i]; } +#if defined(_OPENMP) + #pragma omp parallel for +#endif /* _OPENMP */ for(int r = 0; r < upper_dims; ++r) { const T *src_row_ptr = src.data() + r * lower_dims; @@ -107,7 +110,7 @@ SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src, float beta, size_t axi return softmax_layer_generic<T>(src, beta, axis, false); } -template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int>::type> +template < typename T, typename std::enable_if < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int >::type > SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis) { const QuantizationInfo output_quantization_info = arm_compute::get_softmax_output_quantization_info(src.data_type(), false); |