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

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// Copyright (c) 2025 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 "paddle/phi/kernels/all_gather_kernel.h"
#include "paddle/phi/backends/all_context.h"
#include "paddle/phi/core/kernel_registry.h"
#if defined(PADDLE_WITH_XPU_BKCL)
#include "paddle/phi/core/distributed/bkcl_comm_context.h"
#endif
namespace phi {
template <typename T, typename Context>
void AllGatherKernel(const Context& dev_ctx,
const DenseTensor& x,
int nranks,
DenseTensor* out) {
#if defined(PADDLE_WITH_XPU_BKCL)
auto out_dims = x.dims();
out_dims[0] *= nranks;
out->Resize(out_dims);
dev_ctx.template Alloc<T>(out);
auto comm_ctx =
static_cast<distributed::BKCLCommContext*>(dev_ctx.GetCommContext());
PADDLE_ENFORCE_NE(comm_ctx,
nullptr,
common::errors::Unavailable(
"BKCLCommContext is nullptr, collective op should "
"has ring_id attr."));
PADDLE_ENFORCE_EQ(
nranks,
comm_ctx->GetSize(),
errors::InvalidArgument(
"nranks: %s should equal to %s", nranks, comm_ctx->GetSize()));
XPUStream stream = dev_ctx.stream();
comm_ctx->AllGather(out, x, stream);
#else
PADDLE_THROW(common::errors::PreconditionNotMet(
"PaddlePaddle should be compiled with XPU."));
#endif
}
} // namespace phi
PD_REGISTER_KERNEL(all_gather,
XPU,
ALL_LAYOUT,
phi::AllGatherKernel,
int,
int64_t,
bool,
uint8_t,
float,
phi::float16,
phi::bfloat16) {}