wehub-resource-sync
95 lines
3.0 KiB
Plaintext
95 lines
3.0 KiB
Plaintext
// 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 "glog/logging.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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#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
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#include "paddle/phi/core/distributed/nccl_comm_context.h"
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#include "paddle/phi/core/distributed/utils.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,
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const DenseTensor& x,
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DenseTensor* out) {
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#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
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auto x_dims = x.dims();
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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::NCCLCommContext*>(dev_ctx.GetCommContext());
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PADDLE_ENFORCE_NE(
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comm_ctx,
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nullptr,
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errors::Unavailable("NCCLCommContext is nullptr, collective op should "
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"has ring_id attr."));
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gpuStream_t stream = dev_ctx.stream();
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PADDLE_ENFORCE_NOT_NULL(stream,
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errors::NotFound("Should initialize NCCL firstly."));
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int nranks = comm_ctx->GetSize();
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int64_t send_numel = x.numel() / nranks;
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size_t offset = 0;
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PADDLE_ENFORCE_EQ(
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x_dims[0] % nranks,
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0,
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errors::InvalidArgument(
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"The first dimension size (%d) of the input tensor must be "
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"divisible by the number of ranks (%d).",
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x_dims[0],
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nranks));
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comm_ctx->GroupStart();
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const auto* send_buf = x.data<T>();
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auto* recv_buf = out->data<T>();
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for (auto i = 0; i < nranks; ++i) {
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auto send_buf = distributed::GetPartialTensor(x, offset, send_numel);
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comm_ctx->Send(send_buf, send_numel, i, stream);
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auto recv_buf = distributed::GetPartialTensor(*out, offset, send_numel);
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comm_ctx->Recv(&recv_buf, send_numel, i, stream);
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offset += send_numel;
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}
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comm_ctx->GroupEnd();
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#else
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PADDLE_THROW(
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errors::PreconditionNotMet("PaddlePaddle should compile with GPU."));
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#endif
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}
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} // namespace phi
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PD_REGISTER_KERNEL(all_to_all,
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GPU,
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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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int8_t,
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uint8_t,
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int16_t,
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int64_t,
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bool,
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phi::bfloat16,
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phi::float16) {}
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