mirror of
https://github.com/zebrajr/pytorch.git
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8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
76 lines
2.4 KiB
C++
76 lines
2.4 KiB
C++
/**
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* Copyright (c) 2016-present, Facebook, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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// Note(jiayq): the import_array function is done inside
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// caffe2_python.cc. Read
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// http://docs.scipy.org/doc/numpy-1.10.1/reference/c-api.array.html#miscellaneous
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// for more details.
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#define NO_IMPORT_ARRAY
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#include "pybind_state.h"
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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#include "caffe2/core/context_gpu.h"
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#include "caffe2/core/common_cudnn.h"
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#include "caffe2/operators/operator_fallback_gpu.h"
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namespace caffe2 {
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namespace python {
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REGISTER_CUDA_OPERATOR(Python, GPUFallbackOp<PythonOp>);
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REGISTER_CUDA_OPERATOR(PythonGradient, GPUFallbackOp<PythonGradientOp>);
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REGISTER_BLOB_FETCHER((TypeMeta::Id<TensorCUDA>()), TensorFetcher<CUDAContext>);
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REGISTER_BLOB_FEEDER(CUDA, TensorFeeder<CUDAContext>);
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namespace py = pybind11;
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void addCUDAGlobalMethods(py::module& m) {
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m.def("num_cuda_devices", &NumCudaDevices);
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m.def("set_default_gpu_id", &SetDefaultGPUID);
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m.def("get_default_gpu_id", &GetDefaultGPUID);
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m.def("get_cuda_version", &CudaVersion);
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m.def("get_cudnn_version", &cudnnCompiledVersion);
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m.def("get_cuda_peer_access_pattern", []() {
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std::vector<std::vector<bool>> pattern;
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CAFFE_ENFORCE(caffe2::GetCudaPeerAccessPattern(&pattern));
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return pattern;
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});
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m.def("get_device_properties", [](int deviceid) {
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auto& prop = GetDeviceProperty(deviceid);
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std::map<std::string, py::object> obj;
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obj["name"] = py::cast(prop.name);
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obj["major"] = py::cast(prop.major);
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obj["minor"] = py::cast(prop.minor);
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return obj;
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});
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};
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PYBIND11_PLUGIN(caffe2_pybind11_state_gpu) {
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py::module m(
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"caffe2_pybind11_state_gpu",
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"pybind11 stateful interface to Caffe2 workspaces - GPU edition");
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addGlobalMethods(m);
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addCUDAGlobalMethods(m);
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addObjectMethods(m);
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return m.ptr();
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}
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} // namespace python
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} // namespace caffe2
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