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When I am trying to run the GPU verison PaddlePaddle on a machine that GPU can not be used, it shows me error:
Traceback (most recent call last):
File "notest_recognize_digits_conv_dist.py", line 4, in <module>
import paddle.v2.fluid as fluid
File "/home/helin/.local/lib/python2.7/site-packages/paddle/v2/fluid/__init__.py", line 51, in <module>
__read_gflags_from_env__()
File "/home/helin/.local/lib/python2.7/site-packages/paddle/v2/fluid/__init__.py", line 46, in __read_gflags_from_env__
core.init_devices(["CPU", "GPU:0"])
paddle.v2.fluid.core.EnforceNotMet: cudaGetDeviceCount failed in paddle::platform::GetCUDADeviceCount: no CUDA-capable device is detected at [/home/helin/repo/Paddle/paddle/platform/gpu_info.cc:32]
Please note that I am using CPUPlace() only for the executor, it should just run on CPU as written in code, rather than crashing.
The text was updated successfully, but these errors were encountered:
When I am trying to run the GPU verison PaddlePaddle on a machine that GPU can not be used, it shows me error:
Please note that I am using CPUPlace() only for the executor, it should just run on CPU as written in code, rather than crashing.
The text was updated successfully, but these errors were encountered: