wehub-resource-sync
110 lines
3.6 KiB
Plaintext
110 lines
3.6 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/gpu/partial_allgather_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 PartialAllGatherOpCUDAKernel(const Context& dev_ctx,
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const DenseTensor& x_in,
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int nranks,
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int rank,
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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_in;
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int64_t numel = in->numel();
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ncclDataType_t dtype = ToNCCLDataType(in->dtype());
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gpuStream_t stream = nullptr;
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distributed::NCCLCommContext* comm_ctx = nullptr;
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int real_nranks = 0;
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int real_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 = dev_ctx.stream();
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real_nranks = comm_ctx->GetSize();
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real_rank = comm_ctx->GetRank();
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PADDLE_ENFORCE_EQ(nranks,
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real_nranks,
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common::errors::InvalidArgument(
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"nranks: %s should equal to %s", nranks, real_nranks));
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PADDLE_ENFORCE_EQ(rank,
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real_rank,
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common::errors::InvalidArgument(
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"rank: %s should equal to %s", rank, real_rank));
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PADDLE_ENFORCE_EQ((numel % nranks),
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0,
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common::errors::InvalidArgument(
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"The input numel (%d) must be divisible by nranks(%d)",
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numel,
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nranks));
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DDim dims = in->dims();
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out->Resize(dims);
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dev_ctx.template Alloc<T>(out);
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int64_t send_numel = numel / nranks;
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int64_t offset = send_numel * rank;
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auto send_buf = distributed::GetPartialTensor(*in, offset, send_numel);
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comm_ctx->AllGather(out, send_buf, stream);
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#else
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PADDLE_THROW(common::errors::PreconditionNotMet(
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"PaddlePaddle should compile with GPU."));
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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_allgather,
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GPU,
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ALL_LAYOUT,
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phi::PartialAllGatherOpCUDAKernel,
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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_allgather,
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GPU,
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ALL_LAYOUT,
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phi::PartialAllGatherOpCUDAKernel,
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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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