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import torch
import torch.nn as nn
class Scale(nn.Module):
"""
Multiply the output regression range by a learnable constant value
"""
def __init__(self, init_value=1.0):
"""
init_value : initial value for the scalar
"""
super().__init__()
self.scale = nn.Parameter(torch.tensor(init_value, dtype=torch.float32), requires_grad=True)
def forward(self, x):
"""
input -> scale * input
"""
return x * self.scale
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