From 168d6a83b8c5c66c6a961c2b9d747685319b56dc Mon Sep 17 00:00:00 2001
From: Michalis Spyrou <michalis.spyrou@arm.com>
Date: Tue, 3 May 2022 17:15:42 +0100
Subject: Use svcreate instead of list initializations.

Partially resolves COMPMID-5250 when building with SVE2.

Change-Id: I16bd74d4cd6c70371efd8235c507ba5e7f8f906f
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7498
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
---
 src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

(limited to 'src/cpu/operators/internal')

diff --git a/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp b/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp
index 728333f052..a97e53d4af 100644
--- a/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp
+++ b/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp
@@ -156,8 +156,8 @@ public:
                                                                                             const std::vector<int32_t> &multipliers);
 
     // Inherited methods overridden:
-    void                             run(ITensorPack &tensors) override;
-    void                             prepare(ITensorPack &tensors) override;
+    void run(ITensorPack &tensors) override;
+    void prepare(ITensorPack &tensors) override;
     bool                             is_configured() const override;
     experimental::MemoryRequirements workspace() const override;
 
@@ -203,12 +203,12 @@ private:
     /** Indirect buffer */
     std::unique_ptr<const TypeInput *const *, free_delete> _indirect_arg{};
     std::unique_ptr<const TypeInput *, free_delete>        _indirect_buf{};
-    std::vector<TypeInput>                                 _indirect_pad{};
-    arm_gemm::ConvolutionParameters                        _cp{};
-    experimental::MemoryRequirements                       _aux_mem{ Count };
-    bool                                                   _B_pretranspose_required{ false };
-    bool                                                   _is_b_constant{ true };
-    bool                                                   _is_c_constant{ true };
+    std::vector<TypeInput>           _indirect_pad{};
+    arm_gemm::ConvolutionParameters  _cp{};
+    experimental::MemoryRequirements _aux_mem{ Count };
+    bool                             _B_pretranspose_required{ false };
+    bool                             _is_b_constant{ true };
+    bool                             _is_c_constant{ true };
 };
 
 template <typename TypeInput, typename TypeOutput, class OutputStage>
@@ -682,7 +682,7 @@ Status CpuGemmAssemblyDispatch::has_opt_impl(const ITensorInfo *a, const ITensor
 #if defined(__ARM_FEATURE_BF16_VECTOR_ARITHMETIC) || defined(ARM_COMPUTE_FORCE_BF16)
         case DataType::BFLOAT16:
         {
-            ARM_COMPUTE_RETURN_ERROR_ON_MSG(!(arm_gemm::has_opt_gemm<bfloat, float, arm_gemm::Nothing>(args, {})),
+            ARM_COMPUTE_RETURN_ERROR_ON_MSG(!(arm_gemm::has_opt_gemm<bfloat16, float, arm_gemm::Nothing>(args, {})),
                                             "We could not find an optimized kernel for BFLOAT16 input and F32 output");
             break;
         }
-- 
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