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2026-07-13 13:30:25 +08:00

32 lines
702 B
Python
Executable File

import numpy as np
from prml.nn.tensor.constant import Constant
from prml.nn.tensor.tensor import Tensor
from prml.nn.function import Function
class Log(Function):
"""
element-wise natural logarithm of the input
y = log(x)
"""
def forward(self, x):
x = self._convert2tensor(x)
self.x = x
output = np.log(self.x.value)
if isinstance(self.x, Constant):
return Constant(output)
return Tensor(output, function=self)
def backward(self, delta):
dx = delta / self.x.value
self.x.backward(dx)
def log(x):
"""
element-wise natural logarithm of the input
y = log(x)
"""
return Log().forward(x)