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# 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")
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