Optimize Neon™ Logistic Activation

- Use a 1d execution window to improve memory access pattern.

Resolves: [COMPMID-5465]
Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com>
Change-Id: Ida30669ffa06eb002ca43a6edf15e25a6eaad2f6
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8344
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 10 insertions, 0 deletions

diff --git a/src/cpu/kernels/CpuActivationKernel.h b/src/cpu/kernels/CpuActivationKernel.h
index d856a9357f..fe2d783059 100644
--- a/src/cpu/kernels/CpuActivationKernel.h
+++ b/src/cpu/kernels/CpuActivationKernel.h
@@ -73,6 +73,15 @@ public:
     void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
     const char *name() const override;
 
+    /** Get the preferred dimension in which the scheduler splits the work into multiple jobs.
+     *
+     * @return The split dimension hint.
+     */
+    size_t get_split_dimension_hint() const
+    {
+        return _split_dimension;
+    }
+
     struct ActivationKernel
     {
         const char                                *name;
@@ -85,6 +94,7 @@ public:
 private:
     ActivationLayerInfo _act_info{};
     ActivationKernelPtr _run_method{ nullptr };
+    size_t              _split_dimension{ Window::DimY };
     std::string         _name{};
 };
 } // namespace kernels