wehub-resource-sync
123 lines
4.1 KiB
Plaintext
123 lines
4.1 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/partial_recv_kernel.h"
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#include "glog/logging.h"
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#include "paddle/phi/core/distributed/utils.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 PartialRecvKernel(const Context& dev_ctx,
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int peer,
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DataType type,
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const std::vector<int>& out_shape,
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int num,
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int id,
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DenseTensor* out) {
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#if (defined(PADDLE_WITH_RCCL) || defined(PADDLE_WITH_NCCL)) && \
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NCCL_VERSION_CODE >= 2703
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auto out_dims = out->dims();
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auto numel = out->numel();
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PADDLE_ENFORCE_GE(
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peer,
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0,
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common::errors::InvalidArgument(
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"The peer (%d) for partial_recv op must be non-negative.", peer));
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PADDLE_ENFORCE_GE(num,
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1,
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common::errors::InvalidArgument(
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"The num (%d) for partial_recv op must >=1", num));
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PADDLE_ENFORCE_EQ(
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(id >= 0 && id < num),
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true,
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common::errors::InvalidArgument(
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"The id (%d) for partial_recv op must >=0 and <num (%d)", id, num));
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PADDLE_ENFORCE_EQ(
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(numel % num),
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0,
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common::errors::InvalidArgument(
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"The input numel (%d) must be divisible by num(%d)", numel, num));
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out->Resize(out_dims);
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dev_ctx.template Alloc<T>(out);
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int64_t recv_numel = numel / num;
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int64_t offset = recv_numel * id;
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gpuStream_t stream = nullptr;
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distributed::NCCLCommContext* comm_ctx = nullptr;
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int nranks = 0;
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int rank = 0;
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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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stream = comm_ctx->GetStream();
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nranks = comm_ctx->GetSize();
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rank = comm_ctx->GetRank();
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PADDLE_ENFORCE_LT(
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peer,
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nranks,
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common::errors::InvalidArgument("The value of peer (%d) you set must "
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"be less than nranks (%d).",
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peer,
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nranks));
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auto recv_buf = distributed::GetPartialTensor(*out, offset, recv_numel);
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comm_ctx->Recv(&recv_buf, recv_numel, peer, stream);
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VLOG(3) << "rank " << rank << " recv " << recv_numel << " from offset["
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<< offset << "] from " << peer;
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#else
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PADDLE_THROW(common::errors::Unavailable(
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"PaddlePaddle should be compiled with NCCL and "
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"NCCL version >= 2.7.3 is needed."));
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#endif
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}
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} // namespace phi
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#if (NCCL_VERSION_CODE >= 21000 && CUDA_VERSION >= 11000) || \
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defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(partial_recv,
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GPU,
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ALL_LAYOUT,
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phi::PartialRecvKernel,
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float,
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double,
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phi::bfloat16,
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int,
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int64_t,
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phi::float16) {}
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#else
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PD_REGISTER_KERNEL(partial_recv,
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GPU,
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ALL_LAYOUT,
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phi::PartialRecvKernel,
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float,
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double,
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int,
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int64_t,
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phi::float16) {}
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#endif
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