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Signed-off-by: Alessandro Bellina <[email protected]>
rapidsai · Dec 8, 2024 · 3f7e1bd · 3f7e1bd
1 parent 960b3c5
commit 3f7e1bd
Showing 1 changed file with 11 additions and 17 deletions.
diff --git a/java/src/main/native/src/RmmJni.cpp b/java/src/main/native/src/RmmJni.cpp
@@ -772,27 +772,21 @@ JNIEXPORT void JNICALL Java_ai_rapids_cudf_Rmm_releaseArenaMemoryResource(JNIEnv
   CATCH_STD(env, )
 }
 
-JNIEXPORT jlong JNICALL Java_ai_rapids_cudf_Rmm_newCudaAsyncMemoryResource(JNIEnv* env,
-                                                                           jclass clazz,
-                                                                           jlong init,
-                                                                           jlong release,
-                                                                           jboolean fabric)
+JNIEXPORT jlong JNICALL Java_ai_rapids_cudf_Rmm_newCudaAsyncMemoryResource(
+  JNIEnv* env, jclass clazz, jlong init, jlong release, jboolean fabric)
 {
   try {
     cudf::jni::auto_set_device(env);
-  
-    // when we are using fabric, we need to set the memory access to be 
+
+    // when we are using fabric, we need to set the memory access to be
     // read_write, in order for peer GPUs to have access to this memory.
-    auto [handle_type, prot_flag] = fabric ?
-      std::pair{
-        rmm::mr::cuda_async_memory_resource::allocation_handle_type::fabric,
-        rmm::mr::cuda_async_memory_resource::access_flags::read_write} :
-      std::pair{ 
-        rmm::mr::cuda_async_memory_resource::allocation_handle_type::none,
-        rmm::mr::cuda_async_memory_resource::access_flags::none};
-
-    auto ret = new rmm::mr::cuda_async_memory_resource(
-      init, release, handle_type, prot_flag);
+    auto [handle_type, prot_flag] =
+      fabric ? std::pair{rmm::mr::cuda_async_memory_resource::allocation_handle_type::fabric,
+                         rmm::mr::cuda_async_memory_resource::access_flags::read_write}
+             : std::pair{rmm::mr::cuda_async_memory_resource::allocation_handle_type::none,
+                         rmm::mr::cuda_async_memory_resource::access_flags::none};
+
+    auto ret = new rmm::mr::cuda_async_memory_resource(init, release, handle_type, prot_flag);
 
     return reinterpret_cast<jlong>(ret);
   }