wehub-resource-sync
83 lines
2.6 KiB
C++
83 lines
2.6 KiB
C++
// 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/reduce_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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#if defined(PADDLE_WITH_XPU_BKCL)
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#include "paddle/phi/core/distributed/bkcl_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 ReduceKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int root,
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int reduce_type,
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DenseTensor* out) {
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PADDLE_ENFORCE_GT(x.numel(),
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0,
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common::errors::InvalidArgument(
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"Tensor need be reduced must not empty."));
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#if defined(PADDLE_WITH_XPU_BKCL)
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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::BKCLCommContext*>(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("BKCLCommContext is nullptr, collective op should "
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"has ring_id attr."));
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XPUStream stream = nullptr;
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stream = comm_ctx->GetStream();
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PADDLE_ENFORCE_NOT_NULL(stream,
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errors::NotFound("Should initialize NCCL firstly."));
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BKCLOp bkcl_red_type = BKCL_ADD;
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switch (static_cast<ReduceType>(reduce_type)) {
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case ReduceType::kRedSum:
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bkcl_red_type = BKCL_ADD;
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break;
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case ReduceType::kRedMax:
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bkcl_red_type = BKCL_MAX;
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break;
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case ReduceType::kRedMin:
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bkcl_red_type = BKCL_MIN;
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break;
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case ReduceType::kRedProd:
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bkcl_red_type = BKCL_PRODUCT;
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break;
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default:
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PADDLE_THROW(common::errors::InvalidArgument("Invalid reduce type: %d",
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reduce_type));
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}
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comm_ctx->Reduce(out, x, bkcl_red_type, root, stream);
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#else
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PADDLE_THROW(common::errors::PreconditionNotMet(
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"PaddlePaddle should be compiled with XPU."));
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#endif
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}
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} // namespace phi
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PD_REGISTER_KERNEL(reduce, XPU, ALL_LAYOUT, phi::ReduceKernel, float) {}
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