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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.
*******************************************************************************/
#include "gpu/nvidia/sycl_cuda_scoped_context.hpp"
namespace dnnl {
namespace impl {
namespace gpu {
namespace nvidia {
cuda_sycl_scoped_context_handler_t::cuda_sycl_scoped_context_handler_t(
const nvidia::engine_t &engine)
: need_to_recover_(false) {
CUDA_EXECUTE_FUNC(cuCtxGetCurrent, &original_);
auto desired = engine.get_underlying_context();
currentDevice_ = engine.get_underlying_device();
if (original_ != desired) {
// Sets the desired context as the active one for the thread
CUDA_EXECUTE_FUNC(cuCtxSetCurrent, desired);
// No context is installed and the suggested context is primary
// This is the most common case. We can activate the context in the
// thread and leave it there until all the PI context referring to
// the same underlying CUDA primary context are destroyed. This
// emulates the behaviour of the CUDA runtime api, and avoids costly
// context switches. No action is required on this side of the if.
need_to_recover_ = original_ != nullptr;
}
}
cuda_sycl_scoped_context_handler_t::
~cuda_sycl_scoped_context_handler_t() noexcept(false) {
// we need to release the placed_context_ since we set it from
// ctx.get() retains the underlying context so we need to remove it
CUDA_EXECUTE_FUNC(cuDevicePrimaryCtxRelease, currentDevice_);
if (need_to_recover_) { CUDA_EXECUTE_FUNC(cuCtxSetCurrent, original_); }
}
} // namespace nvidia
} // namespace gpu
} // namespace impl
} // namespace dnnl