COMPMID-3460: Refactor NEElementwiseUnaryKernel

Removed most of the templates and refactored the code.
Performance is the same but the libary size dropped by
52Kb.

Change-Id: I41ff0c0853c923d925cdaeb05f4a58c9086fff94
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3190
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/core/NEON/wrapper/intrinsics/invsqrt.h b/arm_compute/core/NEON/wrapper/intrinsics/invsqrt.h
index 2bf9f52..77adcf7b 100644
--- a/arm_compute/core/NEON/wrapper/intrinsics/invsqrt.h
+++ b/arm_compute/core/NEON/wrapper/intrinsics/invsqrt.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -37,10 +37,18 @@
         return prefix##_##postfix(a);                \
     }
 
+#define VINVSQRT_IMPL_INT(stype, vtype, prefix, postfix) \
+    inline vtype vinvsqrt(const vtype &a)                \
+    {                                                    \
+        ARM_COMPUTE_UNUSED(a);                           \
+        ARM_COMPUTE_ERROR("Not supported");              \
+    }
+
 VINVSQRT_IMPL(float, float32x2_t, vinvsqrt, f32)
 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
 VINVSQRT_IMPL(float16_t, float16x4_t, vinvsqrt, f16)
 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+VINVSQRT_IMPL_INT(int, int32x4_t, vinvsqrt, s32)
 
 VINVSQRT_IMPL(float, float32x4_t, vinvsqrtq, f32)
 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC