mindspore2022/mindspore/ccsrc/common/graph_kernel/expanders/softplus.cc

50 lines
1.5 KiB
C++

/**
* Copyright 2021-2022 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.
*/
#include <memory>
#include <vector>
#include "common/graph_kernel/expanders/expander_factory.h"
#include "ir/dtype.h"
namespace mindspore::graphkernel::expanders {
class Softplus : public OpDesc {
public:
Softplus() {}
~Softplus() = default;
protected:
bool CheckInputs() override {
const auto &input_x = inputs_info_[0];
if (input_x.type != kNumberTypeFloat32 && input_x.type != kNumberTypeFloat16) {
MS_LOG(INFO) << "In Softplus, input_x's dtype must be float16 or float32";
return false;
}
return true;
}
NodePtrList Expand(const NodePtrList &inputs) override {
const auto &input_x = inputs[0];
auto exp_x = gb.Exp(input_x);
auto const_one = gb.Const(1.0, input_x->type);
auto exp_x_add_one = gb.Add(exp_x, const_one);
auto result = gb.Log(exp_x_add_one);
return {result};
}
};
OP_EXPANDER_REGISTER("Softplus", Softplus);
} // namespace mindspore::graphkernel::expanders