forked from huawei/mindspore2022
180 lines
6.2 KiB
C++
180 lines
6.2 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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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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*/
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#ifndef MINDSPORE_CCSRC_PARALLEL_OPS_INFO_ACTIVATION_INFO_H_
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#define MINDSPORE_CCSRC_PARALLEL_OPS_INFO_ACTIVATION_INFO_H_
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#include <ir/value.h>
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include <vector>
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#include "parallel/auto_parallel/operator_costmodel.h"
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#include "parallel/ops_info/operator_info.h"
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#include "parallel/strategy.h"
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namespace mindspore {
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namespace parallel {
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class ActivationBase : public OperatorInfo {
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public:
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ActivationBase(const std::string& operator_name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: OperatorInfo(operator_name, inputs_shape, outputs_shape, attrs) {}
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~ActivationBase() override = default;
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Status Init(const StrategyPtr& strategy) override;
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Status InitForCostModel(const StrategyPtr& strategy) override;
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protected:
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Status InferMirrorOps() override;
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Status InferForwardCommunication() override;
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Status InferTensorMap() override;
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Status InferTensorInfo() override;
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Status InferDevMatrixShape() override;
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};
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class Activation : public ActivationBase {
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public:
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Activation(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: ActivationBase(name, inputs_shape, outputs_shape, attrs) {
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ac_cost_ptr_ = std::make_shared<ActivationCost>();
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}
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~Activation() override = default;
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Status GenerateStrategies(int32_t stage_id) override;
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Status SetCostUnderStrategy(const StrategyPtr& strategy) override;
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OperatorCostPtr GetOperatorCost() const override { return ac_cost_ptr_; }
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protected:
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Status CheckStrategy(const StrategyPtr& strategy) override;
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private:
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ActivationCostPtr ac_cost_ptr_;
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};
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class ActivationInfo : public Activation {
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public:
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ActivationInfo(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: Activation(name, inputs_shape, outputs_shape, attrs) {}
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~ActivationInfo() override = default;
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protected:
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Status GetAttrs() override; // activation_type: relu, relu6, sigmoid
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};
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class ActivationOther : public Activation {
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public:
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ActivationOther(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: Activation(name, inputs_shape, outputs_shape, attrs) {}
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~ActivationOther() override = default;
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protected:
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Status GetAttrs() override;
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};
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class GeluInfo : public ActivationOther {
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public:
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GeluInfo(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: ActivationOther(name, inputs_shape, outputs_shape, attrs) {}
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~GeluInfo() override = default;
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};
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class TanhInfo : public ActivationOther {
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public:
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TanhInfo(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: ActivationOther(name, inputs_shape, outputs_shape, attrs) {}
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~TanhInfo() override = default;
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};
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class Softmax : public ActivationBase {
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public:
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explicit Softmax(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: ActivationBase(name, inputs_shape, outputs_shape, attrs) {
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sm_cost_ptr_ = std::make_shared<SoftmaxCost>();
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}
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~Softmax() override = default;
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Status GenerateStrategies(int32_t stage_id) override;
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Status SetCostUnderStrategy(const StrategyPtr& strategy) override;
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OperatorCostPtr GetOperatorCost() const override { return sm_cost_ptr_; }
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protected:
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Status CheckStrategy(const StrategyPtr& strategy) override;
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Status GetAttrs() override;
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private:
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std::vector<int32_t> axis_;
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SoftmaxCostPtr sm_cost_ptr_;
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};
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class SoftmaxInfo : public Softmax {
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public:
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SoftmaxInfo(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: Softmax(name, inputs_shape, outputs_shape, attrs) {}
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~SoftmaxInfo() override = default;
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};
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class LogSoftmaxInfo : public Softmax {
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public:
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LogSoftmaxInfo(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: Softmax(name, inputs_shape, outputs_shape, attrs) {}
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~LogSoftmaxInfo() override = default;
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};
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class ReLUInfo : public ActivationOther {
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public:
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ReLUInfo(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: ActivationOther(name, inputs_shape, outputs_shape, attrs) {}
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~ReLUInfo() override = default;
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};
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class CastInfo : public ActivationOther {
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public:
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CastInfo(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: ActivationOther(name, inputs_shape, outputs_shape, attrs) {}
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~CastInfo() override = default;
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protected:
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Status InferMirrorOps() override;
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};
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class SqrtInfo : public ActivationOther {
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public:
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SqrtInfo(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape,
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const PrimitiveAttrs& attrs)
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: ActivationOther(name, inputs_shape, outputs_shape, attrs) {}
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~SqrtInfo() override = default;
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};
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class NegInfo : public ActivationOther {
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public:
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NegInfo(const std::string& name, const Shapes& inputs_shape, const Shapes& outputs_shape, const PrimitiveAttrs& attrs)
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: ActivationOther(name, inputs_shape, outputs_shape, attrs) {}
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~NegInfo() override = default;
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};
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} // namespace parallel
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_OPTIMIZER_OPS_INFO_PARALLEL_ACTIVATION_INFO_H_
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