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authorMichalis Spyrou <michalis.spyrou@arm.com>2020-04-08 14:10:15 +0100
committerMichalis Spyrou <michalis.spyrou@arm.com>2020-04-17 14:20:01 +0000
commitd1d7722cfc5ee130115d8d195068a98b16102a21 (patch)
treef68f3ecca02ab4edde90189266fa186ec1a69474 /tests/validation/reference/SoftmaxLayer.cpp
parent4c6bd514a8d424a29b776754f1b3426fa3a8c339 (diff)
downloadComputeLibrary-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.cpp7
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);