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71 lines
2.4 KiB
71 lines
2.4 KiB
/* Copyright (c) 2019 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/operators/collective/c_broadcast_op.h"
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namespace paddle {
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namespace operators {
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class CBroadcastOp : 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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ctx->SetOutputDim("Out", ctx->GetInputDim("X"));
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}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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return framework::OpKernelType(
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OperatorWithKernel::IndicateVarDataType(ctx, "X"), ctx.GetPlace());
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}
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};
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class CBroadcastOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() {
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AddInput("X", "(Tensor) tensor to be broadcasted.");
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AddOutput("Out", "(Tensor) the result of broadcast.");
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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>("root", "(int default 0) root id for broadcasting.")
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.SetDefault(0);
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AddAttr<bool>(
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"use_calc_stream",
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"(bool default false) eject CUDA operations to calculation stream.")
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.SetDefault(false);
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AddComment(R"DOC(
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CBroadcast Operator
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Reference: https://docs.nvidia.com/deeplearning/sdk/nccl-developer-guide/docs/usage/operations.html#broadcast
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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namespace plat = paddle::platform;
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REGISTER_OP_WITHOUT_GRADIENT(c_broadcast, ops::CBroadcastOp,
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ops::CBroadcastOpMaker);
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REGISTER_OP_CPU_KERNEL(c_broadcast, ops::CBroadcastOpCPUKernel<float>,
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ops::CBroadcastOpCPUKernel<double>,
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ops::CBroadcastOpCPUKernel<int>,
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ops::CBroadcastOpCPUKernel<int64_t>,
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ops::CBroadcastOpCPUKernel<plat::float16>);
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