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/*******************************************************************************
* Copyright 2020 Intel Corporation
* Copyright 2020 Codeplay Software Limited
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/
#ifndef GPU_NVIDIA_SYCL_CUDA_SCOPED_CONTEXT_HPP
#define GPU_NVIDIA_SYCL_CUDA_SCOPED_CONTEXT_HPP
#include <memory>
#include <thread>
#include "gpu/nvidia/engine.hpp"
#include "gpu/nvidia/sycl_cuda_utils.hpp"
namespace dnnl {
namespace impl {
namespace gpu {
namespace nvidia {
// Scoped context is required to set the current context of a thread
// to the context of the using queue. The scoped handle class is
// required to put the stream context on top of the cuda stack
class cuda_sycl_scoped_context_handler_t {
CUcontext original_;
CUdevice currentDevice_;
bool need_to_recover_;
public:
cuda_sycl_scoped_context_handler_t(const nvidia::engine_t &);
// Destruct the scope p_context placed_context_.
~cuda_sycl_scoped_context_handler_t() noexcept(false);
// This is a work-around function for reinterpret_casting the memory. This
// will be fixed when SYCL-2020 has been implemented for Pi backend.
template <typename T, typename U>
inline T memory(const compat::interop_handle &ih, U acc) {
return compat::get_native_mem<T>(ih, acc);
}
};
} // namespace nvidia
} // namespace gpu
} // namespace impl
} // namespace dnnl
#endif