add examples for resource exhausted error, test=develop (#21140)

paddle/fluid/memory/allocation/cuda_allocator.cc

@@ -47,7 +47,7 @@ Allocation* CUDAAllocator::AllocateImpl(size_t size) {
   if (result != cudaSuccess) avail = 0;
   platform::RaiseNonOutOfMemoryError(&result);
 
-  PADDLE_THROW_BAD_ALLOC(
+  PADDLE_THROW_BAD_ALLOC(platform::errors::ResourceExhausted(
       "\n\nOut of memory error on GPU %d. "
       "Cannot allocate %s memory on GPU %d, "
       "available memory is only %s.\n\n"
@@ -55,7 +55,7 @@ Allocation* CUDAAllocator::AllocateImpl(size_t size) {
       "1. If yes, please stop them, or start PaddlePaddle on another GPU.\n"
       "2. If no, please decrease the batch size of your model.\n",
       place_.device, string::HumanReadableSize(size), place_.device,
-      string::HumanReadableSize(avail), place_.device);
+      string::HumanReadableSize(avail), place_.device));
 }
 
 }  // namespace allocation

paddle/fluid/memory/detail/system_allocator.cc

@@ -134,7 +134,7 @@ void* GPUAllocator::Alloc(size_t* index, size_t size) {
     if (result != cudaSuccess) avail = 0;
     platform::RaiseNonOutOfMemoryError(&result);
 
-    PADDLE_THROW_BAD_ALLOC(
+    PADDLE_THROW_BAD_ALLOC(platform::errors::ResourceExhausted(
         "\n\nOut of memory error on GPU %d. "
         "Cannot allocate %s memory on GPU %d, "
         "available memory is only %s.\n\n"
@@ -148,7 +148,7 @@ void* GPUAllocator::Alloc(size_t* index, size_t size) {
         "`export FLAGS_fraction_of_gpu_memory_to_use=xxx`.\n\n",
         gpu_id_, string::HumanReadableSize(size), gpu_id_,
         string::HumanReadableSize(avail), gpu_id_,
-        FLAGS_fraction_of_gpu_memory_to_use);
+        FLAGS_fraction_of_gpu_memory_to_use));
   }
 }
 

paddle/fluid/platform/enforce.h

@@ -360,10 +360,11 @@ struct EOFException : public std::exception {
                                            __LINE__);                          \
   } while (0)
 
-#define PADDLE_THROW_BAD_ALLOC(...)                                  \
+#define PADDLE_THROW_BAD_ALLOC(...)                                         \
-  do {                                                               \
+  do {                                                                      \
-    throw ::paddle::memory::allocation::BadAlloc(                    \
+    throw ::paddle::memory::allocation::BadAlloc(                           \
-        ::paddle::string::Sprintf(__VA_ARGS__), __FILE__, __LINE__); \
+        ::paddle::platform::ErrorSummary(__VA_ARGS__).ToString(), __FILE__, \
+        __LINE__);                                                          \
   } while (0)
 
 /** CUDA PADDLE ENFORCE FUNCTIONS AND MACROS **/