// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "paddle/fluid/operators/pull_box_extended_sparse_op.h" namespace paddle { namespace operators { class PullBoxExtendedSparseOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override { PADDLE_ENFORCE_GE( ctx->Inputs("Ids").size(), 1UL, platform::errors::InvalidArgument( "Inputs(Ids) of PullBoxExtendedSparseOp should not be empty.")); PADDLE_ENFORCE_GE( ctx->Outputs("Out").size(), 1UL, platform::errors::InvalidArgument( "Outputs(Out) of PullBoxExtendedSparseOp should not be empty.")); PADDLE_ENFORCE_GE(ctx->Outputs("OutExtend").size(), 1UL, platform::errors::InvalidArgument( "Outputs(OutExtend) of PullBoxExtendedSparseOp " "should not be empty.")); auto emb_size = static_cast(ctx->Attrs().Get("emb_size")); auto emb_extended_size = static_cast(ctx->Attrs().Get("emb_extended_size")); auto all_ids_dim = ctx->GetInputsDim("Ids"); const size_t n_ids = all_ids_dim.size(); std::vector outs_dims; std::vector outs_extended_dims; outs_dims.resize(n_ids); outs_extended_dims.resize(n_ids); for (size_t i = 0; i < n_ids; ++i) { const auto ids_dims = all_ids_dim[i]; int ids_rank = ids_dims.size(); PADDLE_ENFORCE_EQ(ids_dims[ids_rank - 1], 1, platform::errors::InvalidArgument( "Shape error in %lu id, the last dimension of the " "'Ids' tensor must be 1.", i)); auto out_dim = framework::vectorize( framework::slice_ddim(ids_dims, 0, ids_rank - 1)); out_dim.push_back(emb_size); outs_dims[i] = framework::make_ddim(out_dim); auto out_extended_dim = framework::vectorize( framework::slice_ddim(ids_dims, 0, ids_rank - 1)); out_extended_dim.push_back(emb_extended_size); outs_extended_dims[i] = framework::make_ddim(out_extended_dim); } ctx->SetOutputsDim("Out", outs_dims); ctx->SetOutputsDim("OutExtend", outs_extended_dims); for (size_t i = 0; i < n_ids; ++i) { ctx->ShareLoD("Ids", "Out", i, i); ctx->ShareLoD("Ids", "OutExtend", i, i); } } protected: framework::OpKernelType GetExpectedKernelType( const framework::ExecutionContext& ctx) const override { return framework::OpKernelType(framework::proto::VarType::FP32, ctx.device_context()); } }; class PullBoxExtendedSparseOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() override { AddInput("Ids", "Input tensors with type int32 or int64 " "contains the ids to be looked up in BoxPS. " "The last dimension size must be 1.") .AsDuplicable(); AddOutput("Out", "The lookup results tensors.").AsDuplicable(); AddOutput("OutExtend", "The lookup extended results tensors.") .AsDuplicable(); AddAttr("emb_size", "(int, the embedding hidden size").SetDefault(1); AddAttr("emb_extended_size", "(int, the extended_embedding hidden size") .SetDefault(128); AddComment(R"DOC( Pull Box Extended Sparse Operator. This operator is used to perform lookups on the BoxPS, then concatenated into a dense tensor. The input Ids can carry the LoD (Level of Details) information, or not. And the output only shares the LoD information with input Ids. )DOC"); } }; template class PushBoxExtendedSparseOpMaker : public framework::SingleGradOpMaker { public: using framework::SingleGradOpMaker::SingleGradOpMaker; protected: void Apply(GradOpPtr op) const override { op->SetType("push_box_extended_sparse"); op->SetInput("Ids", this->Input("Ids")); op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out")); op->SetInput(framework::GradVarName("OutExtend"), this->OutputGrad("OutExtend")); op->SetOutput(framework::GradVarName("Out"), this->OutputGrad("Out")); op->SetAttrMap(this->Attrs()); } }; class PushBoxExtendedSparseOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override {} protected: framework::OpKernelType GetExpectedKernelType( const framework::ExecutionContext& ctx) const override { return framework::OpKernelType(OperatorWithKernel::IndicateVarDataType( ctx, framework::GradVarName("Out")), ctx.device_context()); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OPERATOR( pull_box_extended_sparse, ops::PullBoxExtendedSparseOp, ops::PullBoxExtendedSparseOpMaker, ops::PushBoxExtendedSparseOpMaker, ops::PushBoxExtendedSparseOpMaker); REGISTER_OPERATOR(push_box_extended_sparse, ops::PushBoxExtendedSparseOp); REGISTER_OP_CPU_KERNEL(pull_box_extended_sparse, ops::PullBoxExtendedSparseCPUKernel, ops::PullBoxExtendedSparseCPUKernel); REGISTER_OP_CPU_KERNEL(push_box_extended_sparse, ops::PushBoxExtendedSparseCPUKernel, ops::PushBoxExtendedSparseCPUKernel);