mindspore2022/mindspore/ccsrc/parallel/ops_info/activation_info.h

180 lines
6.2 KiB
C++

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