pytorch/caffe2/python/pybind_state_gpu.cc
2016-09-06 15:55:19 -07:00

43 lines
1.1 KiB
C++

// Note(jiayq): the import_array function is done inside
// caffe2_python.cc. Read
// http://docs.scipy.org/doc/numpy-1.10.1/reference/c-api.array.html#miscellaneous
// for more details.
#define NO_IMPORT_ARRAY
#include "pybind_state.h"
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include "caffe2/core/context_gpu.h"
namespace caffe2 {
REGISTER_BLOB_FETCHER((TypeMeta::Id<TensorCUDA>()), TensorFetcher<CUDAContext>);
REGISTER_BLOB_FEEDER(CUDA, TensorFeeder<CUDAContext>);
namespace py = pybind11;
void addCUDAGlobalMethods(py::module& m) {
m.def("num_cuda_devices", &NumCudaDevices);
m.def("set_default_gpu_id", &SetDefaultGPUID);
m.def("get_default_gpu_id", &GetDefaultGPUID);
m.def("get_cuda_peer_access_pattern", []() {
std::vector<std::vector<bool>> pattern;
CAFFE_ENFORCE(caffe2::GetCudaPeerAccessPattern(&pattern));
return pattern;
});
};
PYBIND11_PLUGIN(caffe2_pybind11_state_gpu) {
py::module m(
"caffe2_pybind11_state_gpu",
"pybind11 stateful interface to Caffe2 workspaces - GPU edition");
addGlobalMethods(m);
addCUDAGlobalMethods(m);
addObjectMethods(m);
return m.ptr();
}
}