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2026-07-13 12:40:42 +08:00

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C++

// 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.
#include <algorithm>
#include <utility>
#include <vector>
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/kernel_registry.h"
#if defined(PADDLE_WITH_GLOO)
#include "paddle/phi/core/distributed/gloo_comm_context.h"
#endif
namespace phi {
template <typename T, typename Context>
void CScatterOpCPUKernel(const Context &dev_ctx,
const DenseTensor &x,
int ring_id,
int root,
int nranks,
bool use_calc_stream,
DenseTensor *out) {
#if defined(PADDLE_WITH_GLOO)
auto in = &x;
auto root_id = root;
auto comm_ctx =
static_cast<distributed::GlooCommContext *>(dev_ctx.GetCommContext());
PADDLE_ENFORCE_NE(comm_ctx,
nullptr,
::common::errors::Unavailable(
"NCCLCommContext is nullptr, collective op should "
"has ring_id attr."));
comm_ctx->Scatter(out, *in, root_id);
#else
PADDLE_THROW(common::errors::Unavailable(
"PaddlePaddle should compile with GLOO by setting WITH_GLOO=ON"));
#endif
}
} // namespace phi
PD_REGISTER_KERNEL(c_scatter,
CPU,
ALL_LAYOUT,
phi::CScatterOpCPUKernel,
float,
double,
int,
int64_t,
phi::float16) {}