wehub-resource-sync
126 lines
4.1 KiB
Plaintext
126 lines
4.1 KiB
Plaintext
// Copyright (c) 2024 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/gpu/c_scatter_kernel.h"
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#include "glog/logging.h"
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#include "paddle/phi/core/distributed/comm_context_manager.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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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void CScatterOpCUDAKernel(const Context& dev_ctx,
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const DenseTensor& input,
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int ring_id,
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int root,
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int nranks,
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bool use_calc_stream,
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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 = &input;
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int64_t numel = x->numel();
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ncclDataType_t dtype = ToNCCLDataType(x->dtype());
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int root_id = root;
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auto place = dev_ctx.GetPlace();
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gpuStream_t stream = nullptr;
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distributed::NCCLCommContext* comm_ctx = nullptr;
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PADDLE_ENFORCE_GE(
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root_id,
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0,
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common::errors::InvalidArgument(
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"The root_id (%d) for c_scatter_op must be non-negative.", root_id));
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PADDLE_ENFORCE_GE(
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ring_id,
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0,
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common::errors::InvalidArgument(
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"The ring_id (%d) for c_scatter_op must be non-negative.", ring_id));
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comm_ctx =
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static_cast<distributed::NCCLCommContext*>(dev_ctx.GetCommContext());
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PADDLE_ENFORCE_NE(comm_ctx,
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nullptr,
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common::errors::Unavailable(
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"NCCLCommContext is nullptr, collective op should "
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"has ring_id attr."));
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PADDLE_ENFORCE_EQ(nranks,
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comm_ctx->GetSize(),
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common::errors::InvalidArgument(
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"The number of ranks (%d) you set of must "
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"be equal to comm_ctx->GetSize() (%d).",
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nranks,
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comm_ctx->GetSize()));
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stream = comm_ctx->GetStream();
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VLOG(3) << "new comm_context_manager has ring_id " << ring_id;
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if (use_calc_stream) {
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// should ExecutionContext for calc stream.
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stream = dev_ctx.stream();
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}
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DDim x_dims = x->dims();
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DDim out_dims(x_dims);
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DenseTensor temp;
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temp.Resize(out_dims);
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auto out_ptr = dev_ctx.template Alloc<T>(&temp);
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if (root_id == comm_ctx->GetRank()) {
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comm_ctx->Broadcast(const_cast<DenseTensor*>(x), *x, root_id, stream);
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Copy(dev_ctx,
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*static_cast<const DenseTensor*>(x),
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place,
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false,
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static_cast<DenseTensor*>(&temp));
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} else {
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comm_ctx->Broadcast(&temp, temp, root_id, stream);
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}
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out_dims[0] = out_dims[0] / nranks;
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auto start_index = out_dims[0] * comm_ctx->GetRank();
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auto end_index = start_index + out_dims[0];
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temp = temp.Slice(start_index, end_index);
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temp.Resize(out_dims);
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out->Resize(out_dims);
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dev_ctx.template Alloc<T>(out);
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Copy(dev_ctx,
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*static_cast<const DenseTensor*>(&temp),
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place,
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true,
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static_cast<DenseTensor*>(out));
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out->Resize(out_dims);
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#else
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PADDLE_ENFORCE_EQ(
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true,
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false,
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common::errors::Unavailable("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(c_scatter,
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GPU,
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ALL_LAYOUT,
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phi::CScatterOpCUDAKernel,
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float,
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double,
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int,
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int64_t,
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phi::float16) {}
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