未验证 提交 27fa9c10 编写于 作者: C Chen Weihang 提交者: GitHub

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

上级 8f659d43
...@@ -47,7 +47,7 @@ Allocation* CUDAAllocator::AllocateImpl(size_t size) { ...@@ -47,7 +47,7 @@ Allocation* CUDAAllocator::AllocateImpl(size_t size) {
if (result != cudaSuccess) avail = 0; if (result != cudaSuccess) avail = 0;
platform::RaiseNonOutOfMemoryError(&result); platform::RaiseNonOutOfMemoryError(&result);
PADDLE_THROW_BAD_ALLOC( PADDLE_THROW_BAD_ALLOC(platform::errors::ResourceExhausted(
"\n\nOut of memory error on GPU %d. " "\n\nOut of memory error on GPU %d. "
"Cannot allocate %s memory on GPU %d, " "Cannot allocate %s memory on GPU %d, "
"available memory is only %s.\n\n" "available memory is only %s.\n\n"
...@@ -55,7 +55,7 @@ Allocation* CUDAAllocator::AllocateImpl(size_t size) { ...@@ -55,7 +55,7 @@ Allocation* CUDAAllocator::AllocateImpl(size_t size) {
"1. If yes, please stop them, or start PaddlePaddle on another GPU.\n" "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", "2. If no, please decrease the batch size of your model.\n",
place_.device, string::HumanReadableSize(size), place_.device, place_.device, string::HumanReadableSize(size), place_.device,
string::HumanReadableSize(avail), place_.device); string::HumanReadableSize(avail), place_.device));
} }
} // namespace allocation } // namespace allocation
......
...@@ -134,7 +134,7 @@ void* GPUAllocator::Alloc(size_t* index, size_t size) { ...@@ -134,7 +134,7 @@ void* GPUAllocator::Alloc(size_t* index, size_t size) {
if (result != cudaSuccess) avail = 0; if (result != cudaSuccess) avail = 0;
platform::RaiseNonOutOfMemoryError(&result); platform::RaiseNonOutOfMemoryError(&result);
PADDLE_THROW_BAD_ALLOC( PADDLE_THROW_BAD_ALLOC(platform::errors::ResourceExhausted(
"\n\nOut of memory error on GPU %d. " "\n\nOut of memory error on GPU %d. "
"Cannot allocate %s memory on GPU %d, " "Cannot allocate %s memory on GPU %d, "
"available memory is only %s.\n\n" "available memory is only %s.\n\n"
...@@ -148,7 +148,7 @@ void* GPUAllocator::Alloc(size_t* index, size_t size) { ...@@ -148,7 +148,7 @@ void* GPUAllocator::Alloc(size_t* index, size_t size) {
"`export FLAGS_fraction_of_gpu_memory_to_use=xxx`.\n\n", "`export FLAGS_fraction_of_gpu_memory_to_use=xxx`.\n\n",
gpu_id_, string::HumanReadableSize(size), gpu_id_, gpu_id_, string::HumanReadableSize(size), gpu_id_,
string::HumanReadableSize(avail), gpu_id_, string::HumanReadableSize(avail), gpu_id_,
FLAGS_fraction_of_gpu_memory_to_use); FLAGS_fraction_of_gpu_memory_to_use));
} }
} }
......
...@@ -363,7 +363,8 @@ struct EOFException : public std::exception { ...@@ -363,7 +363,8 @@ struct EOFException : public std::exception {
#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) } while (0)
/** CUDA PADDLE ENFORCE FUNCTIONS AND MACROS **/ /** CUDA PADDLE ENFORCE FUNCTIONS AND MACROS **/
......
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