wehub-resource-sync
54 lines
1.8 KiB
C++
54 lines
1.8 KiB
C++
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include <string>
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#include "paddle/phi/backends/xpu/xpu_info.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/distributed/comm_context_manager.h"
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#include "paddle/phi/core/kernel_registry.h"
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#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
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#include "paddle/phi/core/distributed/nccl_comm_context.h"
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#elif defined(PADDLE_WITH_XPU_BKCL)
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#include "paddle/phi/core/distributed/bkcl_comm_context.h"
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#endif
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namespace phi {
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#if defined(PADDLE_WITH_XPU_BKCL)
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static void XPUStreamSync(XPUStream stream) {
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PADDLE_ENFORCE_XDNN_SUCCESS(xpu_wait(stream), "xpu_wait");
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}
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#endif
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template <typename T, typename Context>
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void SyncCommStreamKernel(const Context &dev_ctx,
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const std::vector<const DenseTensor *> &x UNUSED,
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int ring_id UNUSED,
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std::vector<DenseTensor *> out UNUSED) {
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#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
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backends::gpu::GpuStreamSync(dev_ctx.stream());
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#elif defined(PADDLE_WITH_XPU_BKCL)
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XPUStreamSync(dev_ctx.stream());
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#else
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PADDLE_THROW(common::errors::PreconditionNotMet(
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"PaddlePaddle should compile with GPU or XPU."));
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#endif
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}
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} // namespace phi
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