wehub-resource-sync
104 lines
3.1 KiB
C++
104 lines
3.1 KiB
C++
// 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_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_GLOO)
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#include "paddle/phi/core/distributed/gloo_comm_context.h"
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#endif
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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#include "paddle/phi/core/distributed/xccl_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 AllReduceKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int reduce_type,
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DenseTensor* out) {
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#if defined(PADDLE_WITH_GLOO)
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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::GlooCommContext*>(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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comm_ctx->AllReduce(out, x, reduce_type);
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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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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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template <typename T>
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void AllReduceKernel(const CustomContext& dev_ctx,
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const DenseTensor& x,
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int reduce_type,
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DenseTensor* out) {
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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::XCCLCommContext*>(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("XCCLCommContext is nullptr, collective op should "
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"has ring_id attr."));
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comm_ctx->AllReduce(
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out, x, ccl::ToXCCLReduceOp(reduce_type), dev_ctx.stream());
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}
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#endif
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} // namespace phi
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PD_REGISTER_KERNEL(all_reduce,
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CPU,
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ALL_LAYOUT,
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phi::AllReduceKernel,
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float,
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double,
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int,
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bool,
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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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phi::float16) {}
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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PD_REGISTER_KERNEL(all_reduce,
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Custom,
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ALL_LAYOUT,
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phi::AllReduceKernel,
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float,
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double,
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int,
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bool,
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int8_t,
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uint8_t,
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int64_t,
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phi::float16) {}
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#endif
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