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Executor need reasonable default value #5681

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9 changes: 9 additions & 0 deletions paddle/pybind/pybind.cc
Original file line number Diff line number Diff line change
Expand Up @@ -78,6 +78,14 @@ bool IsCompileGPU() {
#endif
}

int GetCUDADeviceCount() {
#ifndef PADDLE_WITH_CUDA
return 0;
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@helinwang helinwang Nov 15, 2017

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Maybe return -1 here to indicate error. Because the function name is GetCUDADeviceCount, if PADDLE_WITH_CUDA is OFF, the function can not do what its name suggests.

#else
return paddle::platform::GetCUDADeviceCount();
#endif
}

PYBIND11_PLUGIN(core) {
py::module m("core", "C++ core of PaddlePaddle");

Expand Down Expand Up @@ -497,6 +505,7 @@ All parameter, weight, gradient are variables in Paddle.
m.def("init_gflags", InitGflags);

m.def("is_compile_gpu", IsCompileGPU);
m.def("get_cuda_device_count", GetCUDADeviceCount());
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Not familiar with Pybind, why it's a function invocation here? GetCUDADeviceCount(), rather than GetCUDADeviceCount?

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It is a bug. Thanks for pointing it out.

m.def("set_feed_variable", framework::SetFeedVariable);
m.def("get_fetch_variable", framework::GetFetchVariable);

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12 changes: 11 additions & 1 deletion python/paddle/v2/fluid/executor.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,17 @@


class Executor(object):
def __init__(self, places):
def __init__(self, places=None):
if places is None:
if core.is_compile_gpu():
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I think we need to detect at runtime whether a GPU is present. It's very likely a compiled GPU version runs on a CPU only machine.

if core.get_cude_device_count() > 0:
places = [core.GPUPlace()]
else:
# TODO(tonyyang-svail): print warning here
places = [core.CPUPlace()]
else:
places = [core.CPUPlace()]

if not isinstance(places, list) and not isinstance(places, tuple):
places = [places]

Expand Down