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dzhwinter
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fix init gpu error.

#else
LOG(WARNING)
<< "'GPU' is not supported, Please re-compile with WITH_GPU option";
<< "'CUDA' is not supported, Please re-compile with WITH_CUDA option";
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Currently, CMakeLists.txt does not have WITH_CUDA option.

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done

@chengduoZH
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chengduoZH commented Jan 15, 2018

fix #7519
fix #7416

int count = platform::GetCUDADeviceCount();
for (int i = 0; i < count; ++i) {
places.emplace_back(platform::CUDAPlace(i));
}
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@chengduoZH chengduoZH Jan 15, 2018

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The strict way to write is to put line54~56 outside try...catch.
But it's not a big problem here. Please feel free to change it or not.

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done

'WARNING: CUDA_VISIBLE_DEVICES set to {0}, not empty . The computation '
'speed will not be optimized if you use multi-gpu. It will '
'fail if this PaddlePaddle binary is compiled without GPU option'
.format(gpu_devices),
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  1. You want to remind users that currently fluid does not support multi-GPU training, right?
  2. If the user does not compile PaddlePaddle with GPU option, this warning will not show. So It will fail if this PaddlePaddle ... is unnecessary.

file=sys.stderr)
else:
gpu_devices = "0"
os.environ['CUDA_VISIBLE_DEVICES'] = gpu_devices
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The logic of line 99~110 maybe has some problem.

}

TEST(InitDevices, CUDA) {
using paddle::framework::InitDevices;
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#ifdef PADDLE_WITH_CUDA should be placed in line31.

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This test is compiled in nv_test.
So #ifdef PADDLE_WITH_CUDA is no needed.

try {
count = paddle::platform::GetCUDADeviceCount();
} catch (const std::exception& exp) {
}
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If #ifdef PADDLE_WITH_CUDA is placed in line 31, I think try ... catch is unnecessary.

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done

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LGTM

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2 participants