wehub-resource-sync
107 lines
3.3 KiB
Plaintext
107 lines
3.3 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/dist_concat_kernel.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/concat_and_split_functor.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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#endif
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namespace phi {
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template <typename T, typename Context>
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void DistConcatKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int nranks,
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DenseTensor* out) {
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#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
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DenseTensor temp_out;
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auto temp_out_dims = x.dims();
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temp_out_dims[0] *= nranks;
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temp_out.Resize(temp_out_dims);
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dev_ctx.template Alloc<T>(&temp_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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PADDLE_ENFORCE_EQ(
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nranks,
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comm_ctx->GetSize(),
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errors::InvalidArgument(
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"nranks: %s should equal to %s", nranks, comm_ctx->GetSize()));
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gpuStream_t stream = dev_ctx.stream();
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comm_ctx->AllGather(&temp_out, x, stream);
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std::vector<DenseTensor> inputs;
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int axis = x.dims().size() - 1;
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auto out_dims = x.dims();
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out_dims[out_dims.size() - 1] *= nranks;
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int64_t rows_per_tensor = x.dims()[0];
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int64_t offset = 0;
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for (int i = 0; i < nranks; i++) {
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DenseTensor temp =
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temp_out.Slice(static_cast<int64_t>(offset),
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static_cast<int64_t>(offset + rows_per_tensor));
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inputs.emplace_back(temp);
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offset += rows_per_tensor;
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}
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funcs::ConcatFunctor<Context, T> functor;
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out->Resize(out_dims);
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dev_ctx.template Alloc<T>(out);
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functor(dev_ctx, inputs, axis, out);
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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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#if NCCL_VERSION_CODE >= 21000
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PD_REGISTER_KERNEL(dist_concat,
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GPU,
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ALL_LAYOUT,
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phi::DistConcatKernel,
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float,
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double,
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int,
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uint8_t,
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int8_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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#else
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PD_REGISTER_KERNEL(dist_concat,
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GPU,
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ALL_LAYOUT,
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phi::DistConcatKernel,
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float,
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double,
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int,
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uint8_t,
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int8_t,
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int64_t,
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bool,
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phi::float16) {}
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#endif
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