# Copyright 2024 NVIDIA CORPORATION & AFFILIATES # # 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. # # SPDX-License-Identifier: Apache-2.0 import copy import torch.nn as nn __all__ = ["build_act", "get_act_name"] # register activation function here # name: module, kwargs with default values REGISTERED_ACT_DICT: dict[str, tuple[type, dict[str, any]]] = { "relu": (nn.ReLU, {"inplace": True}), "relu6": (nn.ReLU6, {"inplace": True}), "hswish": (nn.Hardswish, {"inplace": True}), "hsigmoid": (nn.Hardsigmoid, {"inplace": True}), "swish": (nn.SiLU, {"inplace": True}), "silu": (nn.SiLU, {"inplace": True}), "tanh": (nn.Tanh, {}), "sigmoid": (nn.Sigmoid, {}), "gelu": (nn.GELU, {"approximate": "tanh"}), "mish": (nn.Mish, {"inplace": True}), "identity": (nn.Identity, {}), } def build_act(name: str or None, **kwargs) -> nn.Module or None: if name in REGISTERED_ACT_DICT: act_cls, default_args = copy.deepcopy(REGISTERED_ACT_DICT[name]) for key in default_args: if key in kwargs: default_args[key] = kwargs[key] return act_cls(**default_args) elif name is None or name.lower() == "none": return None else: raise ValueError(f"do not support: {name}") def get_act_name(act: nn.Module or None) -> str or None: if act is None: return None module2name = {} for key, config in REGISTERED_ACT_DICT.items(): module2name[config[0].__name__] = key return module2name.get(type(act).__name__, "unknown")