wehub-resource-sync
49 lines
1.6 KiB
C++
49 lines
1.6 KiB
C++
// Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// 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.
|
|
|
|
// The file has been adapted from pytorch project
|
|
// Licensed under BSD-style license -
|
|
// https://github.com/pytorch/pytorch/blob/main/LICENSE
|
|
|
|
#include <c10/cuda/CUDAFunctions.h>
|
|
|
|
namespace c10::cuda {
|
|
|
|
c10::DeviceIndex device_count() {
|
|
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
|
|
return phi::backends::gpu::GetGPUDeviceCount();
|
|
#else
|
|
// Return 0 instead of throwing to match PyTorch API semantics
|
|
// at::cuda::is_available() relies on this returning 0/false
|
|
return 0;
|
|
#endif
|
|
}
|
|
|
|
void device_synchronize() {
|
|
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
|
|
int curr_device_id = paddle::platform::GetCurrentDeviceId();
|
|
paddle::platform::SetDeviceId(curr_device_id);
|
|
#ifdef PADDLE_WITH_HIP
|
|
PADDLE_ENFORCE_GPU_SUCCESS(hipDeviceSynchronize());
|
|
#else
|
|
PADDLE_ENFORCE_GPU_SUCCESS(cudaDeviceSynchronize());
|
|
#endif
|
|
#else
|
|
PADDLE_THROW(common::errors::Unavailable(
|
|
"Paddle is not compiled with CUDA. Cannot visit device synchronize."));
|
|
#endif
|
|
}
|
|
|
|
} // namespace c10::cuda
|