# (C) Copyright IBM Corp. 2019, 2020, 2021, 2022.
# 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.
import torch
# SIREN (Sinusoidal Representation Networks)
[docs]class Siren(torch.nn.Module):
name = 'Siren'
def __init__(self, omega_0:float=None, c:float=None) -> None:
super(Siren, self).__init__()
self.omega_0 = omega_0
self.c = c
@property
def share_to_host(self) -> dict:
return {'omega_0': self.omega_0,
'c': self.c}
[docs] def forward(self, input: torch.Tensor) -> torch.Tensor:
return torch.sin(self.omega_0*input)
# Sine activation
[docs]class sin(torch.nn.Module):
name = 'sin'
def __init__(self) -> None:
super(sin, self).__init__()
[docs] def forward(self, input: torch.Tensor) -> torch.Tensor:
return torch.sin(input)