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* Add 2 modules: for building blocks and for end to end models * Integrate to existing structure * Maintain BC
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from .direct_pred import DirectPred | ||
from .supervised_vae import SupervisedVAE | ||
from .triplet_encoder import MultiTripletNetwork | ||
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__all__ = ["DirectPred", "SupervisedVAE", "MultiTripletNetwork"] |
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from ..model_DirectPred import DirectPred |
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from ..model_SVAE import supervised_vae as SupervisedVAE |
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from ..model_TripletEncoder import MultiTripletNetwork |
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import torch | ||
from torch import nn | ||
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from .models_shared import Encoder, Decoder, MLP, EmbeddingNetwork, Classifier | ||
from .model_TripletEncoder import MultiEmbeddingNetwork | ||
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__all__ = ["Encoder", "Decoder", "MLP", "EmbeddingNetwork", "MultiEmbeddingNetwork", "Classifier"] |