ptr Fail to allocate GPU memory 7168 bytes

[sss534534]

I0919 11:01:25.650101 39674 Trainer.cpp:169] trainer mode: Normal
F0919 11:01:25.650348 39674 Allocator.h:83] Check failed: ptr Fail to allocate GPU memory 7168 bytes
*** Check failure stack trace: ***
@ 0x7f6fe604addd google::LogMessage::Fail()
@ 0x7f6fe604cc9f google::LogMessage::SendToLog()
@ 0x7f6fe604a973 google::LogMessage::Flush()
@ 0x7f6fe604d5be google::LogMessageFatal::~LogMessageFatal()
@ 0x73178e paddle::GpuAllocator::alloc()
@ 0x726e96 paddle::PoolAllocator::alloc()
@ 0x7266ef paddle::GpuMemoryHandle::GpuMemoryHandle()
@ 0x735fee paddle::GpuVectorT<>::GpuVectorT()
@ 0x739e58 paddle::VectorT<>::create()
@ 0x73b479 paddle::VectorT<>::createParallelVector()
@ 0x5e9276 paddle::Parameter::enableType()
@ 0x5e5d2c paddle::parameterInitNN()
@ 0x5e7f51 paddle::NeuralNetwork::init()
@ 0x5f6bf8 paddle::GradientMachine::create()
@ 0x661975 paddle::TrainerInternal::init()
@ 0x65da47 paddle::Trainer::init()
@ 0x50b115 main

[hedaoyuan]

Paddle can compile with only CPU(if WITH_GPU=off). Check paddle version with --version command.
If cpu version, you can't use use_gpu=1 in command line parameters.

[sss534534]

But, It's a powerful computer, with gpu enabled.

Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 64
On-line CPU(s) list: 0-63
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 2
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 79
Model name: Intel(R) Xeon(R) CPU E5-2682 v4 @ 2.50GHz
Stepping: 1
CPU MHz: 2499.902
BogoMIPS: 4994.15
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 40960K
NUMA node0 CPU(s): 0-63

[sss534534]

lspci | grep -i nvidia
03:00.0 3D controller: NVIDIA Corporation Device 17fd (rev a1)
83:00.0 3D controller: NVIDIA Corporation Device 17fd (rev a1)

[hedaoyuan]

My point is you should use a GPU version paddle.
Try paddle --version
paddle version: unknown
withGpu: true
withAvx: true
withPyDataProvider: true
withTimer: false
withFpga: false
real byte size: 4
or check WITH_RDMA:BOOL=ON in you CMakeCache.txt file.

[hedaoyuan]

Close issue. If there are problems, reopen this issue.