wehub-resource-sync
71 lines
2.4 KiB
C++
71 lines
2.4 KiB
C++
// Copyright (c) 2025 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_scatter_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 ReduceScatterKernel(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_XPU_BKCL)
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auto out_dims = x.dims();
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PADDLE_ENFORCE_EQ(
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out_dims[0] % nranks,
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0,
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errors::InvalidArgument("The input tensor X's "
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"dim[0] (%d) should be divisible by nranks(%d)",
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out_dims[0],
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nranks));
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out_dims[0] = out_dims[0] / nranks;
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out->Resize(out_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(comm_ctx,
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nullptr,
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common::errors::Unavailable(
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"BKCLCommContext is nullptr, collective op should "
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"has ring_id attr."));
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XPUStream stream = dev_ctx.stream();
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comm_ctx->ReduceScatter(out, x, BKCL_ADD, 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_scatter,
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XPU,
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ALL_LAYOUT,
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phi::ReduceScatterKernel,
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int,
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int64_t,
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bool,
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uint8_t,
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float,
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phi::float16,
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phi::bfloat16) {}
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