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| author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2020-04-23 10:21:11 +0100 |
|---|---|---|
| committer | Sang-Hoon Park <sang-hoon.park@arm.com> | 2020-04-23 13:30:04 +0000 |
| commit | cf0f6bc057e0eb37a0d12ffbcb9060d4844e85ac (patch) | |
| tree | 4d26d450c7dee37a3aa384ff4b329532f9f0559b | |
| parent | b70770ee65ccce71a74e73df55fcaeac3cb9d0d7 (diff) | |
| download | ComputeLibrary-cf0f6bc057e0eb37a0d12ffbcb9060d4844e85ac.tar.gz | |
COMPMID-3406: Fix build issue of gcc <= 5.4
Use double pairs of curly brackets to initizalie std::array.
(Single pair of brackets doesn't cause issue with gcc >= 6.3)
Change-Id: I1e49e92f44ffd5f359cce804d6c2c899b2f10f66
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3082
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEQLSTMLayer.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEQLSTMLayer.h b/arm_compute/runtime/NEON/functions/NEQLSTMLayer.h index 312a8984b5..0553e4f266 100644 --- a/arm_compute/runtime/NEON/functions/NEQLSTMLayer.h +++ b/arm_compute/runtime/NEON/functions/NEQLSTMLayer.h @@ -265,7 +265,7 @@ private: NEGEMMLowpOutputStage _projection_outstage{}; NEArithmeticAdditionKernel _accumulate_projection{}; NEActivationLayer _projection_clip{}; - std::array<NEQLSTMLayerNormalizationKernel, _layer_norm_count> _layer_norms{}; + std::array<NEQLSTMLayerNormalizationKernel, _layer_norm_count> _layer_norms{ {} }; // Tensor pointers const ITensor *_input_to_input_weights{ nullptr }; @@ -278,8 +278,8 @@ private: const ITensor *_recurrent_to_cell_weights{ nullptr }; const ITensor *_recurrent_to_output_weights{ nullptr }; const ITensor *_projection_weights{ nullptr }; - std::array<const ITensor *, _layer_norm_count> _layer_norm_weights{}; - std::array<const ITensor *, _layer_norm_count> _layer_norm_bias{}; + std::array<const ITensor *, _layer_norm_count> _layer_norm_weights{ {} }; + std::array<const ITensor *, _layer_norm_count> _layer_norm_bias{ {} }; using LayerNormIndexType = typename std::underlying_type<LayerNormGate>::type; inline LayerNormIndexType getGateIndex(LayerNormGate g) @@ -381,7 +381,7 @@ private: Tensor _mm_projection_res{ nullptr }; Tensor _projection_outstage_res{ nullptr }; Tensor _ones{ nullptr }; - std::array<Tensor, _layer_norm_count> _layer_norm_output{}; + std::array<Tensor, _layer_norm_count> _layer_norm_output{ {} }; inline Tensor &get_layer_norm_output(LayerNormGate g) { |