prototorch_models/prototorch/y/architectures/loss.py

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2022-05-19 14:13:08 +00:00
from dataclasses import dataclass, field
from prototorch.core.losses import GLVQLoss
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from prototorch.y.architectures.base import BaseYArchitecture
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class GLVQLossMixin(BaseYArchitecture):
"""
GLVQ Loss
A loss layer that uses the Generalized Learning Vector Quantization (GLVQ) loss.
"""
# HyperParameters
# ----------------------------------------------------------------------------------------------------
@dataclass
class HyperParameters(BaseYArchitecture.HyperParameters):
"""
margin: The margin of the GLVQ loss. Default: 0.0.
transfer_fn: Transfer function to use. Default: sigmoid_beta.
transfer_args: Keyword arguments for the transfer function. Default: {beta: 10.0}.
"""
margin: float = 0.0
transfer_fn: str = "sigmoid_beta"
transfer_args: dict = field(default_factory=lambda: dict(beta=10.0))
# Steps
# ----------------------------------------------------------------------------------------------------
def init_loss(self, hparams: HyperParameters):
self.loss_layer = GLVQLoss(
margin=hparams.margin,
transfer_fn=hparams.transfer_fn,
**hparams.transfer_args,
)
def loss(self, comparison_measures, batch, components):
target = batch[1]
comp_labels = components[1]
loss = self.loss_layer(comparison_measures, target, comp_labels)
self.log('loss', loss)
return loss