wehub-resource-sync
98 lines
3.2 KiB
C++
98 lines
3.2 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/phi/kernels/all_to_all_kernel.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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#include "paddle/phi/core/distributed/xccl_comm_context.h"
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#endif
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namespace phi {
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template <typename T, typename Context>
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void AllToAllKernel(const Context& dev_ctx UNUSED,
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const DenseTensor& x UNUSED,
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DenseTensor* out UNUSED) {
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PADDLE_THROW(
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errors::Unimplemented("Unimplemented cpu kernel for all_to_all."));
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}
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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template <typename T>
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void AllToAllKernel(const CustomContext& dev_ctx,
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const DenseTensor& x,
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DenseTensor* out) {
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out->Resize(x.dims());
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dev_ctx.template Alloc<T>(out);
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auto comm_ctx =
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static_cast<distributed::XCCLCommContext*>(dev_ctx.GetCommContext());
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int nranks = comm_ctx->GetSize();
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int rank = comm_ctx->GetRank();
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int send_numel = x.numel() / nranks;
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std::vector<void*> sendbuf, recvbuf;
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std::vector<size_t> sendsize(send_numel, nranks);
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std::vector<DataType> sendtype(x.dtype(), nranks);
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for (auto i = 0; i < nranks; ++i) {
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sendbuf.push_back(x.data<T>() + i * send_numel);
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recvbuf.push_back(out->data<T>() + i * send_numel);
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}
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DeviceManager::CCLAllToAll(dev_ctx.GetPlace().GetDeviceType(),
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const_cast<const void**>(sendbuf.data()),
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sendsize.data(),
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sendtype.data(),
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recvbuf.data(),
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sendsize.data(),
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sendtype.data(),
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rank,
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nranks,
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comm_ctx->GetXcclComm(),
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dev_ctx.stream());
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}
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#endif
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} // namespace phi
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PD_REGISTER_KERNEL(all_to_all,
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CPU,
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ALL_LAYOUT,
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phi::AllToAllKernel,
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float,
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double,
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int,
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bool,
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int8_t,
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uint8_t,
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int16_t,
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int64_t,
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phi::float16) {}
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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PD_REGISTER_KERNEL(all_to_all,
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Custom,
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ALL_LAYOUT,
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phi::AllToAllKernel,
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float,
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double,
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int,
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bool,
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int8_t,
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int16_t,
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uint8_t,
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int64_t,
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phi::float16) {}
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#endif
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