fix cppcheck error.

src/targets/gpu/device/logsoftmax.cpp

@@ -42,14 +42,14 @@ void logsoftmax(hipStream_t stream, const argument& result, const argument& arg,
                 size_t blk_idx = idx.group;
                 using type = device_type<std::remove_cv_t<typename decltype(output)::value_type>>;
 
-                MIGRAPHX_DEVICE_SHARED type lds_data[max_block_size + 2];
+                MIGRAPHX_DEVICE_SHARED type lds_data[max_block_size + 1];
                 auto batch_idx = desc_batch.multi(blk_idx);
                 auto data_idx  = batch_idx;
                 // load data to lds and compute the batch max
                 size_t remaining_item_num = batch_item_num;
-                size_t thread_num    = (batch_item_num + block_size - 1) / block_size * block_size;
+                size_t round_item_num    = (batch_item_num + block_size - 1) / block_size * block_size;
                 lds_data[block_size] = input_ptr[0];
-                for(size_t i = thr_idx; i < thread_num; i += block_size)
+                for(size_t i = thr_idx; i < round_item_num; i += block_size)
                 {
                     if(i < batch_item_num)
                     {
@@ -70,7 +70,7 @@ void logsoftmax(hipStream_t stream, const argument& result, const argument& arg,
 
                 lds_data[block_size] = 0;
                 remaining_item_num   = batch_item_num;
-                for(size_t i = thr_idx; i < thread_num; i += block_size)
+                for(size_t i = thr_idx; i < round_item_num; i += block_size)
                 {
                     if(i < batch_item_num)
                     {

src/targets/gpu/include/migraphx/gpu/device/reduce_opers.hpp

@@ -11,7 +11,7 @@ namespace gpu {
 namespace device {
 
 template <class T>
-__device__ void reduce_max(T* data_ptr, size_t block_size, size_t thr_idx, size_t item_num)
+inline __device__ void reduce_max(T* data_ptr, size_t block_size, size_t thr_idx, size_t item_num)
 {
     auto stride = (item_num + 1) / 2;
     while(true)
@@ -39,7 +39,7 @@ __device__ void reduce_max(T* data_ptr, size_t block_size, size_t thr_idx, size_
 }
 
 template <class T>
-__device__ void reduce_sum(T* data_ptr, size_t block_size, size_t thr_idx, size_t item_num)
+inline __device__ void reduce_sum(T* data_ptr, size_t block_size, size_t thr_idx, size_t item_num)
 {
     auto stride = (item_num + 1) / 2;
     while(true)