wehub-resource-sync
97 lines
2.6 KiB
Plaintext
97 lines
2.6 KiB
Plaintext
// 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.
|
|
|
|
#ifdef PADDLE_WITH_XPU_KP
|
|
|
|
// Please do not modify the following code
|
|
#if defined(__CUDA_ARCH__)
|
|
#undef __CUDA_ARCH__
|
|
#endif
|
|
|
|
#if defined(__CUDACC__)
|
|
#undef __CUDACC__
|
|
#endif
|
|
|
|
#if defined(__CUDA__)
|
|
#undef __CUDA__
|
|
#endif
|
|
|
|
#if defined(__NVCC__)
|
|
#undef __NVCC__
|
|
#endif
|
|
|
|
#include "paddle/phi/backends/all_context.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/kernels/all_reduce_kernel.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 AllReduceKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
int reduce_type,
|
|
DenseTensor* out) {
|
|
#if defined(PADDLE_WITH_XPU_BKCL)
|
|
out->Resize(x.dims());
|
|
dev_ctx.template Alloc<T>(out);
|
|
|
|
XPUStream stream = nullptr;
|
|
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."));
|
|
stream = comm_ctx->GetStream();
|
|
|
|
BKCLOp bkcl_reduce_type = BKCL_ADD;
|
|
switch (static_cast<ReduceType>(reduce_type)) {
|
|
case ReduceType::kRedSum:
|
|
bkcl_reduce_type = BKCL_ADD;
|
|
break;
|
|
|
|
case ReduceType::kRedMax:
|
|
bkcl_reduce_type = BKCL_MAX;
|
|
break;
|
|
|
|
case ReduceType::kRedMin:
|
|
bkcl_reduce_type = BKCL_MIN;
|
|
break;
|
|
|
|
case ReduceType::kRedProd:
|
|
bkcl_reduce_type = BKCL_PRODUCT;
|
|
break;
|
|
|
|
default:
|
|
PADDLE_THROW(common::errors::InvalidArgument("Invalid reduce type: %d",
|
|
reduce_type));
|
|
}
|
|
|
|
comm_ctx->AllReduce(out, x, bkcl_reduce_type, stream);
|
|
#else
|
|
PADDLE_THROW(common::errors::PreconditionNotMet(
|
|
"PaddlePaddle should be compiled with XPU."));
|
|
#endif
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(all_reduce, KPS, ALL_LAYOUT, phi::AllReduceKernel, float) {}
|
|
|
|
#endif
|