Add examples/dynamic_components.py
This commit is contained in:
parent
b7edee02c3
commit
cd73f6c427
56
examples/dynamic_components.py
Normal file
56
examples/dynamic_components.py
Normal file
@ -0,0 +1,56 @@
|
||||
"""Dynamically update the number of prototypes in GLVQ."""
|
||||
|
||||
import argparse
|
||||
|
||||
import pytorch_lightning as pl
|
||||
import torch
|
||||
|
||||
import prototorch as pt
|
||||
|
||||
if __name__ == "__main__":
|
||||
# Command-line arguments
|
||||
parser = argparse.ArgumentParser()
|
||||
parser = pl.Trainer.add_argparse_args(parser)
|
||||
args = parser.parse_args()
|
||||
|
||||
# Dataset
|
||||
train_ds = pt.datasets.Iris(dims=[0, 2])
|
||||
|
||||
# Dataloaders
|
||||
train_loader = torch.utils.data.DataLoader(train_ds, batch_size=32)
|
||||
|
||||
# Hyperparameters
|
||||
hparams = dict(
|
||||
distribution=[1, 1, 1],
|
||||
transfer_function="sigmoid_beta",
|
||||
transfer_beta=10.0,
|
||||
lr=0.01,
|
||||
)
|
||||
|
||||
# Initialize the model
|
||||
model = pt.models.GLVQ(
|
||||
hparams,
|
||||
prototype_initializer=pt.components.SMI(train_ds),
|
||||
)
|
||||
|
||||
for _ in range(5):
|
||||
# Callbacks
|
||||
vis = pt.models.VisGLVQ2D(train_ds)
|
||||
|
||||
# Setup trainer
|
||||
trainer = pl.Trainer.from_argparse_args(
|
||||
args,
|
||||
max_epochs=20,
|
||||
callbacks=[vis],
|
||||
terminate_on_nan=True,
|
||||
weights_summary=None,
|
||||
)
|
||||
|
||||
# Training loop
|
||||
trainer.fit(model, train_loader)
|
||||
|
||||
# Increase prototypes
|
||||
model.increase_prototypes(
|
||||
pt.components.SMI(train_ds),
|
||||
distribution=[1, 1, 1],
|
||||
)
|
@ -1,6 +1,5 @@
|
||||
import pytorch_lightning as pl
|
||||
import torch
|
||||
from prototorch.functions.competitions import wtac
|
||||
from torch.optim.lr_scheduler import ExponentialLR
|
||||
|
||||
|
||||
|
@ -120,6 +120,9 @@ class GLVQ(AbstractPrototypeModel):
|
||||
# def predict_step(self, batch, batch_idx, dataloader_idx=None):
|
||||
# pass
|
||||
|
||||
def increase_prototypes(self, initializer, distribution):
|
||||
self.proto_layer.increase_components(initializer, distribution)
|
||||
|
||||
def __repr__(self):
|
||||
super_repr = super().__repr__()
|
||||
return f"{super_repr}"
|
||||
|
Loading…
Reference in New Issue
Block a user