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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CXX11_TENSOR_TENSOR_DEVICE_TYPE_H
#define EIGEN_CXX11_TENSOR_TENSOR_DEVICE_TYPE_H
namespace Eigen {
// Default device for the machine (typically a single cpu core)
struct DefaultDevice {
};
// Multiple cpu cores
// We should really use a thread pool here but first we need to find a portable thread pool library.
#ifdef EIGEN_USE_THREADS
struct ThreadPoolDevice {
ThreadPoolDevice(/*ThreadPool* pool, */size_t num_cores) : /*pool_(pool), */num_threads_(num_cores) { }
size_t numThreads() const { return num_threads_; }
/*ThreadPool* threadPool() const { return pool_; }*/
private:
// todo: NUMA, ...
size_t num_threads_;
/*ThreadPool* pool_;*/
};
#endif
// GPU offloading
#ifdef EIGEN_USE_GPU
struct GpuDevice {
// todo: support for multiple gpu;
GpuDevice() {
cudaStreamCreate(&stream_);
}
~GpuDevice() {
cudaStreamDestroy(stream_);
}
const cudaStream_t& stream() const { return stream_; }
private:
cudaStream_t stream_;
};
#endif
} // end namespace Eigen
#endif // EIGEN_CXX11_TENSOR_TENSOR_DEVICE_TYPE_H
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