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paddlepaddle--paddle/paddle/phi/kernels/fusion/gpu/fused_attention_utils.h
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
#include "paddle/phi/core/distributed/collective/process_group.h"
#include "paddle/phi/core/distributed/nccl_comm_context.h"
#include "paddle/phi/kernels/funcs/reduce_function.h"
#endif
#include "paddle/common/errors.h"
#include "paddle/phi/core/platform/collective_helper.h"
#include "paddle/phi/core/tensor_utils.h"
namespace phi {
namespace fusion {
template <typename T>
static void AllReduce(DenseTensor &tensor, // NOLINT
const int ring_id,
const GPUContext &dev_ctx) {
if (ring_id == -1) return;
#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
distributed::ProcessGroup *pg = nullptr;
auto map = distributed::ProcessGroupMapFromGid::getInstance();
if (map->has(ring_id)) {
// Use ProcessGroup
pg = map->get(ring_id);
} else {
PADDLE_THROW(common::errors::Unimplemented(
"ring_id %d is not in ProcessGroupMap, please check related "
"configurations and retry.",
ring_id));
}
distributed::AllreduceOptions opts;
opts.reduce_op = distributed::ReduceOp::SUM;
auto task = pg->AllReduce(&tensor, tensor, opts, false, false);
task->Wait();
#else
PADDLE_THROW(common::errors::Unimplemented(
"PaddlePaddle should compile with NCCL or RCCL when used tensor model "
"parallel op."));
#endif
}
template <typename T>
static void AllReduce(DenseTensor &tensor, // NOLINT
const int ring_id,
const int count UNUSED,
const GPUContext &dev_ctx) {
AllReduce<T>(tensor, ring_id, dev_ctx);
}
} // namespace fusion
} // namespace phi