issue/342: delete to

Author: xgqdut2016

src/infiniop/devices/kunlun/kunlun_kernel_common.h

@@ -43,22 +43,6 @@ __device__ inline void loadsm(__shared_ptr__ const T *p, T *v, int len) {
     __builtin_memcpy(v, p, len * sizeof(T));
 }
 
-/**
- * @brief Convert data type. All data is in local memory
- * @param v: input value
- * @return output value
- */
-template <typename Tout, typename Tin>
-__device__ inline Tout to(Tin v) {
-    if constexpr (std::is_same<Tin, half>::value) {
-        return __half2float(v);
-    } else if constexpr (std::is_same<Tin, bfloat16_t>::value) {
-        return __bfloat162float(v);
-    } else {
-        return static_cast<Tout>(v);
-    }
-}
-
 /**
  * @brief atomicAdd for kunlun xpu
  * @param ptr: pointer to shared memory

src/infiniop/ops/random_sample/kunlun/kernel.h

@@ -270,7 +270,7 @@ __device__ Tcompute softmaxSum(__global_ptr__ const Tval *probs,
 
     __shared__ Tcompute sum_;
     if (core_id() == 0) {
-        sum_ = to<Tcompute>(0.f);
+        sum_ = Tcompute(0.f);
     }
     sync_cluster();
 
@@ -286,9 +286,9 @@ __device__ Tcompute softmaxSum(__global_ptr__ const Tval *probs,
 
         for (int index = core_id(); index < read_len; index += BLOCK_SIZE) {
             if constexpr (std::is_same_v<Tval, half>) {
-                y_sm[index] = __float2half(exp((__half2float(x_sm[index]) - to<float>(max_value)) / temperature));
+                y_sm[index] = __float2half(exp((__half2float(x_sm[index]) - float(max_value)) / temperature));
             } else if constexpr (std::is_same_v<Tval, bfloat16_t>) {
-                y_sm[index] = __float2bfloat16(exp((__bfloat162float(x_sm[index]) - to<float>(max_value)) / temperature));
+                y_sm[index] = __float2bfloat16(exp((__bfloat162float(x_sm[index]) - float(max_value)) / temperature));
             } else if constexpr (std::is_same_v<Tval, float>) {
                 y_sm[index] = exp((x_sm[index] - max_value) / temperature);
             }
@@ -351,11 +351,11 @@ __device__ void sample(__global_ptr__ Tidx *result,
             GM2LM(values_global + r * buf_size, values_local, read_len * sizeof(Tval));
             for (int index = 0; index < read_len; index++) {
                 if constexpr (std::is_same_v<Tval, float>) {
-                    cumsum += exp((values_local[index] - max_value) / temperature) / to<float>(all_sum);
+                    cumsum += exp((values_local[index] - max_value) / temperature) / float(all_sum);
                 } else if constexpr (std::is_same_v<Tval, bfloat16_t>) {
-                    cumsum += exp((to<float>(values_local[index]) - to<float>(max_value)) / temperature) / to<float>(all_sum);
+                    cumsum += exp((float(values_local[index]) - float(max_value)) / temperature) / float(all_sum);
                 } else if constexpr (std::is_same_v<Tval, half>) {
-                    cumsum += exp((to<float>(values_local[index]) - to<float>(max_value)) / temperature) / to<float>(all_sum);
+                    cumsum += exp((float(values_local[index]) - float(max_value)) / temperature) / float(all_sum);
                 }
                 if (cumsum >= topp) {
                     end = r * buf_size + index + 1;
@@ -370,11 +370,11 @@ __device__ void sample(__global_ptr__ Tidx *result,
             GM2LM(values_global + r * buf_size, values_local, read_len * sizeof(Tval));
             for (int index = 0; index < read_len; index++) {
                 if constexpr (std::is_same_v<Tval, float>) {
-                    cumsum += exp((values_local[index] - max_value) / temperature) / to<float>(all_sum);
+                    cumsum += exp((values_local[index] - max_value) / temperature) / float(all_sum);
                 } else if constexpr (std::is_same_v<Tval, bfloat16_t>) {
-                    cumsum += exp((to<float>(values_local[index]) - to<float>(max_value)) / temperature) / to<float>(all_sum);
+                    cumsum += exp((float(values_local[index]) - float(max_value)) / temperature) / float(all_sum);
                 } else if constexpr (std::is_same_v<Tval, half>) {
-                    cumsum += exp((to<float>(values_local[index]) - to<float>(max_value)) / temperature) / to<float>(all_sum);
+                    cumsum += exp((float(values_local[index]) - float(max_value)) / temperature) / float(all_sum);
                 }
                 if (random_val < cumsum) {
                     result[0] = indices_global[r * buf_size + index];