69 lines
2.3 KiB
C++
69 lines
2.3 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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#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
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#include "paddle/phi/core/distributed/collective/process_group.h"
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#include "paddle/phi/core/distributed/nccl_comm_context.h"
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#include "paddle/phi/kernels/funcs/reduce_function.h"
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#endif
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#include "paddle/common/errors.h"
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#include "paddle/phi/core/platform/collective_helper.h"
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#include "paddle/phi/core/tensor_utils.h"
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namespace phi {
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namespace fusion {
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template <typename T>
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static void AllReduce(DenseTensor &tensor, // NOLINT
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const int ring_id,
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const GPUContext &dev_ctx) {
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if (ring_id == -1) return;
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#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
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distributed::ProcessGroup *pg = nullptr;
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auto map = distributed::ProcessGroupMapFromGid::getInstance();
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if (map->has(ring_id)) {
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// Use ProcessGroup
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pg = map->get(ring_id);
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} else {
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PADDLE_THROW(common::errors::Unimplemented(
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"ring_id %d is not in ProcessGroupMap, please check related "
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"configurations and retry.",
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ring_id));
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}
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distributed::AllreduceOptions opts;
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opts.reduce_op = distributed::ReduceOp::SUM;
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auto task = pg->AllReduce(&tensor, tensor, opts, false, false);
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task->Wait();
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#else
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PADDLE_THROW(common::errors::Unimplemented(
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"PaddlePaddle should compile with NCCL or RCCL when used tensor model "
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"parallel op."));
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#endif
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}
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template <typename T>
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static void AllReduce(DenseTensor &tensor, // NOLINT
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const int ring_id,
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const int count UNUSED,
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const GPUContext &dev_ctx) {
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AllReduce<T>(tensor, ring_id, dev_ctx);
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}
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} // namespace fusion
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} // namespace phi
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