wehub-resource-sync
91 lines
3.1 KiB
C++
91 lines
3.1 KiB
C++
/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle::operators {
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class PartialSendOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {
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OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "PartialSend");
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int peer = ctx->Attrs().Get<int>("peer");
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int ring_id = ctx->Attrs().Get<int>("ring_id");
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int num = ctx->Attrs().Get<int>("num");
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int id = ctx->Attrs().Get<int>("id");
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PADDLE_ENFORCE_GE(
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peer,
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0,
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common::errors::InvalidArgument(
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"The peer (%d) for partial_send op must be non-negative.", peer));
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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 partial_send op must be non-negative.",
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ring_id));
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PADDLE_ENFORCE_GE(num,
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1,
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common::errors::InvalidArgument(
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"The num (%d) for partial_send op must >=1", num));
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PADDLE_ENFORCE_EQ(
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(id >= 0 && id < num),
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true,
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common::errors::InvalidArgument(
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"The id (%d) for partial_send op must >=0 and <num (%d)", id, num));
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}
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protected:
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phi::KernelKey GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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return phi::KernelKey(OperatorWithKernel::IndicateVarDataType(ctx, "X"),
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ctx.GetPlace());
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}
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};
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class PartialSendMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "(Tensor) tensor to be sent.");
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AddAttr<int>("ring_id", "(int default 0) nccl communication ring id.")
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.SetDefault(0);
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AddAttr<int>("peer", "(int default 0) rank id for receiver.").SetDefault(0);
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AddAttr<int>("num", "(int default 1) The number of Input to be cut.")
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.SetDefault(1);
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AddAttr<int>("id",
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"(int default 0) ID of the part to be sent after Input cut.")
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.SetDefault(0);
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AddComment(R"DOC(
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PartialSend Operator.
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Divide the Input into num copies and only send the id part.
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Reference: https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/usage/p2p.html#sendrecv
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)DOC");
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}
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};
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} // namespace paddle::operators
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namespace ops = paddle::operators;
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REGISTER_OP_WITHOUT_GRADIENT(partial_send,
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ops::PartialSendOp,
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ops::PartialSendMaker);
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