36 lines
1001 B
Python
36 lines
1001 B
Python
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import matplotlib.pyplot as plt
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import prototorch as pt
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import pytorch_lightning as pl
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import torch
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from prototorch.core.initializers import SMCI, RandomNormalCompInitializer
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from prototorch.models.expanded.clcc_glvq import GLVQ, GLVQhparams
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from torch.utils.data import DataLoader, Dataset
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from torchvision import datasets
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from torchvision.transforms import Compose, Lambda, ToTensor
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plt.gray()
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if __name__ == "__main__":
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# Dataset
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train_ds = pt.datasets.Iris(dims=[0, 2])
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# Dataloaders
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train_loader = torch.utils.data.DataLoader(train_ds, batch_size=64)
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components_initializer = SMCI(train_ds)
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hparams = GLVQhparams(
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distribution=dict(
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num_classes=3,
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per_class=2,
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),
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component_initializer=components_initializer,
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)
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model = GLVQ(hparams)
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print(model)
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# Callbacks
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vis = pt.models.VisGLVQ2D(data=train_ds)
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# Train
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trainer = pl.Trainer(callbacks=[vis], gpus=1)
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trainer.fit(model, train_loader)
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