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118 lines
3.9 KiB
118 lines
3.9 KiB
/* Copyright (c) 2016 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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#pragma once
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/attribute.h"
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#include "paddle/fluid/framework/ddim.h"
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#include "paddle/fluid/framework/var_desc.h"
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#include "paddle/fluid/framework/variable.h"
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namespace paddle {
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namespace framework {
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namespace proto {
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class BlockDesc;
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class OpDesc;
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class OpDesc_Attr;
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class OpDesc_Var;
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class OpProto;
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class OpProto_Attr;
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class OpProto_Var;
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class OpVersion;
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class OpVersionMap;
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class OpVersionMap_OpVersionPair;
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class ProgramDesc;
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class VarDesc;
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class VarType;
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class VarType_LoDTensorArrayDesc;
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class VarType_LoDTensorDesc;
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class VarType_ReaderDesc;
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class VarType_TensorDesc;
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class VarType_Tuple;
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class Version;
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} // namespace proto
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} // namespace framework
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} // namespace paddle
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namespace paddle {
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namespace framework {
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class OperatorBase;
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using InferShapeVarPtr = boost::variant<VarDesc *, Variable *>;
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class InferShapeContext {
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public:
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virtual ~InferShapeContext() = default;
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virtual bool HasInput(const std::string &name) const = 0;
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virtual bool HasOutput(const std::string &name) const = 0;
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virtual std::vector<proto::VarType::Type> GetInputsVarType(
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const std::string &name) const = 0;
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virtual std::vector<proto::VarType::Type> GetOutputsVarType(
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const std::string &name) const = 0;
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virtual bool HasInputs(const std::string &name) const = 0;
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virtual bool HasOutputs(const std::string &name) const = 0;
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virtual DDim GetInputDim(const std::string &name) const = 0;
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virtual std::vector<DDim> GetInputsDim(const std::string &name) const = 0;
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virtual std::vector<DDim> GetReaderDims(const std::string &name) const;
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virtual void SetOutputDim(const std::string &name, const DDim &dim) = 0;
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virtual void SetOutputsDim(const std::string &name,
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const std::vector<DDim> &dims) = 0;
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virtual void SetReaderDims(const std::string &name,
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const std::vector<DDim> &dims);
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virtual std::string GetInputNameByIdx(size_t idx) const = 0;
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virtual std::string GetOutputNameByIdx(size_t idx) const = 0;
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virtual AttrReader Attrs() const = 0;
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virtual std::vector<std::string> Inputs(const std::string &name) const = 0;
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virtual std::vector<std::string> Outputs(const std::string &name) const = 0;
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virtual void ShareDim(const std::string &in, const std::string &out,
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size_t i = 0, size_t j = 0) = 0;
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virtual void ShareLoD(const std::string &in, const std::string &out,
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size_t i = 0, size_t j = 0) const = 0;
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// share the lod information of all the tensor from in to out.
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// out_vars[i].lod = in_vars[i].lod
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virtual void ShareAllLoD(const std::string &in,
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const std::string &out) const = 0;
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virtual int32_t GetLoDLevel(const std::string &in, size_t i = 0) const = 0;
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virtual void SetLoDLevel(const std::string &out, int32_t lod_level,
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size_t j = 0) const = 0;
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virtual bool IsRuntime() const = 0;
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virtual std::vector<InferShapeVarPtr> GetInputVarPtrs(
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const std::string &name) = 0;
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virtual std::vector<InferShapeVarPtr> GetOutputVarPtrs(
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const std::string &name) = 0;
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protected:
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virtual std::vector<DDim> GetRepeatedDims(const std::string &name) const = 0;
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virtual void SetRepeatedDims(const std::string &name,
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const std::vector<DDim> &dims) = 0;
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};
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} // namespace framework
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} // namespace paddle
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