• 版本、环境信息：
     1）PaddleCloud paddle-fluid-v1.6.1
     2）GPU：v100
• 训练信息
     1）单机 单卡
• 复现信息：
  在PaddleCloud上同样的代码，
  少量训练数据(2张图片)可以正确训练；
  大量训练数据正式训练时报错。
• 问题描述：

Traceback (most recent call last):
File "train.py", line 777, in
train(args)
File "train.py", line 164, in train
place = fluid.CUDAPlace(0)
paddle.fluid.core_avx.EnforceNotMet:

C++ Call Stacks (More useful to developers):

0 std::string paddle::platform::GetTraceBackString<char const*>(char const*&&, char const*, int)
1 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int)
2 paddle::platform::GetCUDADeviceCount()

Error Message Summary:

PaddleCheckError: cudaGetDeviceCount failed in paddle::platform::GetCUDADeviceCountImpl, error code : 3, Please see detail in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html#group__CUDART__TYPES_1g3f51e3575c2178246db0a94a430e0038: initialization error at [/paddle/paddle/fluid/platform/gpu_info.cc:67]