38 lines
1.1 KiB
C++
38 lines
1.1 KiB
C++
/* Copyright 2025 The xLLM 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
|
|
|
|
https://github.com/jd-opensource/xllm/blob/main/LICENSE
|
|
|
|
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.
|
|
==============================================================================*/
|
|
|
|
#pragma once
|
|
|
|
#include <torch/torch.h>
|
|
|
|
#include <string>
|
|
|
|
namespace xllm {
|
|
namespace layer {
|
|
|
|
class ActivationImpl : public torch::nn::Module {
|
|
public:
|
|
ActivationImpl(const std::string& act_mode, bool is_gated);
|
|
|
|
void forward(torch::Tensor& input, torch::Tensor& output);
|
|
|
|
private:
|
|
std::string act_mode_;
|
|
bool is_gated_;
|
|
};
|
|
TORCH_MODULE(Activation);
|
|
|
|
} // namespace layer
|
|
} // namespace xllm
|