wehub-resource-sync
49 lines
1.8 KiB
Plaintext
49 lines
1.8 KiB
Plaintext
// 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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#include "paddle/phi/kernels/barrier_kernel.h"
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#include "paddle/phi/core/dense_tensor.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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#endif
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namespace phi {
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template <typename T, typename Context>
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void BarrierKernel(const Context &dev_ctx,
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const DenseTensor &x,
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DenseTensor *out) {
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#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
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auto in = &x;
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auto comm_ctx =
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static_cast<distributed::NCCLCommContext *>(dev_ctx.GetCommContext());
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PADDLE_ENFORCE_NE(comm_ctx,
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nullptr,
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common::errors::Unavailable(
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"NCCLCommContext is nullptr, collective op should "
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"has ring_id attr."));
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auto stream = comm_ctx->GetStream();
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ncclRedOp_t nccl_red_type = ncclSum;
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comm_ctx->AllReduce(out, *in, nccl_red_type, stream);
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backends::gpu::GpuStreamSync(stream);
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#else
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PADDLE_THROW(
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common::errors::Unavailable("PaddlePaddle should compile with NCCL."));
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#endif
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}
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} // namespace phi
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PD_REGISTER_KERNEL(barrier, GPU, ALL_LAYOUT, phi::BarrierKernel, int) {}
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