wehub-resource-sync
25 lines
570 B
Python
Executable File
25 lines
570 B
Python
Executable File
from prml.nn.tensor.tensor import Tensor
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class Parameter(Tensor):
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"""
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parameter to be optimized
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"""
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def __init__(self, value, prior=None):
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super().__init__(value, function=None)
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self.grad = None
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self.prior = prior
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def _backward(self, delta, **kwargs):
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if self.grad is None:
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self.grad = delta
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else:
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self.grad += delta
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def cleargrad(self):
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self.grad = None
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if self.prior is not None:
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loss = -self.prior.log_pdf(self).sum()
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loss.backward()
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