adding fp16 direct that reads pre-vectorized data

src/include/data_type.hip.hpp

+#pragma once
+#include "config.h"
+
+#if DEVICE_BACKEND_CUDA
+namespace CUDA {
+#include "cuda_fp16.h"
+}
+#endif
+
+using half  = CUDA::half;
+using half2 = CUDA::half2;
+
+struct half4
+{
+    half data[4];
+};
+
+struct half8
+{
+    half data[8];
+};
+
+template <class T, unsigned N>
+struct vector_type
+{
+};
+
+template <>
+struct vector_type<float, 1>
+{
+    using MemoryType = float;
+};
+
+template <>
+struct vector_type<float, 2>
+{
+    using MemoryType = float2;
+
+    __host__ __device__ static MemoryType Pack(float s0, float s1)
+    {
+        union
+        {
+            MemoryType vector;
+            float scalar[2];
+        } data;
+
+        data.scalar[0] = s0;
+        data.scalar[1] = s1;
+        return data.vector;
+    }
+};
+
+template <>
+struct vector_type<float, 4>
+{
+    using MemoryType = float4;
+};
+
+template <>
+struct vector_type<float2, 2>
+{
+    using MemoryType = float4;
+};
+
+template <>
+struct vector_type<half, 1>
+{
+    using MemoryType = half;
+
+    __host__ __device__ static MemoryType Pack(half s) { return s; }
+};
+
+template <>
+struct vector_type<half, 2>
+{
+    using MemoryType = half2;
+
+    __host__ __device__ static MemoryType Pack(half s0, half s1)
+    {
+        union
+        {
+            MemoryType vector;
+            half scalar[2];
+        } data;
+
+        data.scalar[0] = s0;
+        data.scalar[1] = s1;
+        return data.vector;
+    }
+};
+
+template <>
+struct vector_type<half, 4>
+{
+    using MemoryType = float2;
+};
+
+template <>
+struct vector_type<half, 8>
+{
+    using MemoryType = float4;
+};
+
+template <>
+struct vector_type<half2, 1>
+{
+    using MemoryType = half2;
+};
+
+template <>
+struct vector_type<half2, 2>
+{
+    using MemoryType = float2;
+};
+
+template <>
+struct vector_type<half2, 4>
+{
+    using MemoryType = float4;
+};
+
+template <class TDst, class TSrc0, class TSrc1, class TSrc2>
+__device__ void fused_multiply_add(TDst& d, TSrc0 s0, TSrc1 s1, TSrc2 s2)
+{
+    printf("should not call into base");
+    assert(false);
+}
+
+template <>
+__device__ void fused_multiply_add(float& d, float s0, float s1, float s2)
+{
+    d = s0 * s1 + s2;
+}
+
+template <>
+__device__ void fused_multiply_add(float& d, float2 s0, float2 s1, float s2)
+{
+    d = s0.x * s1.x + s0.y * s1.y + s2;
+}
+
+template <>
+__device__ void fused_multiply_add(float& d, float4 s0, float4 s1, float s2)
+{
+    d = s0.x * s1.x + s0.y * s1.y + s0.z * s1.z + s0.w * s1.w + s2;
+}
+
+template <>
+__device__ void fused_multiply_add(half& d, half s0, half s1, half s2)
+{
+    d = s0 * s1 + s2;
+}
+
+template <>
+__device__ void fused_multiply_add(half& d, half2 s0, half2 s1, half s2)
+{
+    d = s0.x * s1.x + s0.y * s1.y + s2;
+}
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