From 34336f9378eca4d39913ac0d9ba411a494631ad5 Mon Sep 17 00:00:00 2001
From: Matthew Bentham <Matthew.Bentham@arm.com>
Date: Thu, 27 Apr 2023 12:13:50 +0000
Subject: Make Convert workloads use arm_compute::NECast in CpuAcc backend

NECast can use conversion instructions where they are available
so this should in general be faster.

Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
Change-Id: I3f259e17b280a4f4c36f363965ffbc8ee8c4c29f
---
 src/backends/neon/workloads/NeonConvertFp32ToFp16Workload.hpp | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

(limited to 'src/backends/neon/workloads/NeonConvertFp32ToFp16Workload.hpp')

diff --git a/src/backends/neon/workloads/NeonConvertFp32ToFp16Workload.hpp b/src/backends/neon/workloads/NeonConvertFp32ToFp16Workload.hpp
index 666f48794b..c6fed76e6d 100644
--- a/src/backends/neon/workloads/NeonConvertFp32ToFp16Workload.hpp
+++ b/src/backends/neon/workloads/NeonConvertFp32ToFp16Workload.hpp
@@ -5,13 +5,17 @@
 
 #pragma once
 
+#include <arm_compute/runtime/NEON/functions/NECast.h>
 #include <armnn/backends/Workload.hpp>
 #include <armnn/backends/WorkloadData.hpp>
+#include <memory>
 #include <neon/workloads/NeonWorkloadUtils.hpp>
 
 namespace armnn
 {
 
+arm_compute::Status NeonConvertFp32ToFp16WorkloadValidate(const TensorInfo& input, const TensorInfo& output);
+
 class NeonConvertFp32ToFp16Workload : public Float32ToFloat16Workload<ConvertFp32ToFp16QueueDescriptor>
 {
 public:
@@ -23,9 +27,10 @@ public:
     // Replace output tensor handle with the given TensorHandle
     void ReplaceOutputTensorHandle(ITensorHandle* tensorHandle, unsigned int slot) override;
 private:
+    virtual void Reconfigure();
     using TensorHandlePair = std::pair<const ITensorHandle*, ITensorHandle*>;
     std::vector<TensorHandlePair> m_TensorHandlePairs;
-    virtual void Reconfigure();
+    mutable std::unique_ptr<arm_compute::NECast> m_Cast;
 };
 
 } //namespace armnn
-- 
cgit v1.2.1