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paddlepaddle--paddle/paddle/phi/kernels/gpu/broadcast_kernel.cu
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// Copyright (c) 2023 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/broadcast_kernel.h"
#include "paddle/phi/backends/all_context.h"
#include "paddle/phi/core/kernel_registry.h"
#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
#include "paddle/phi/core/distributed/nccl_comm_context.h"
#endif
namespace phi {
template <typename T, typename Context>
void BroadcastKernel(const Context& dev_ctx,
const DenseTensor& x,
int root,
DenseTensor* out) {
PADDLE_ENFORCE_GT(x.numel(),
0,
common::errors::InvalidArgument(
"Tensor need be broadcast must not empty."));
#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
dev_ctx.template Alloc<T>(out);
gpuStream_t stream = dev_ctx.stream();
auto comm_context =
static_cast<distributed::NCCLCommContext*>(dev_ctx.GetCommContext());
PADDLE_ENFORCE_NE(
comm_context,
nullptr,
errors::Unavailable("NCCLCommContext is nullptr, collective op should "
"has ring_id attr."));
comm_context->Broadcast(out, x, root, stream);
out->set_lod(x.lod());
#else
PADDLE_THROW(
errors::PreconditionNotMet("PaddlePaddle should compile with GPU."));
#endif
}
} // namespace phi
#if NCCL_VERSION_CODE >= 21000
PD_REGISTER_KERNEL(broadcast,
GPU,
ALL_LAYOUT,
phi::BroadcastKernel,
float,
double,
phi::bfloat16,
int,
bool,
int8_t,
uint8_t,
int16_t,
int64_t,
phi::float16,
phi::complex64,
phi::complex128) {}
#else
PD_REGISTER_KERNEL(broadcast,
GPU,
ALL_LAYOUT,
phi::BroadcastKernel,
float,
double,
int,
bool,
int8_t,
uint8_t,
int16_t,
int64_t,
phi::float16,
phi::complex64,
phi::complex128) {}
#endif