code/model/factory.py

# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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"""
Factory module for creating models.

Provides ModelFactory for instantiating pre-decoder models from config.
"""


class ModelFactory:

    @staticmethod
    def create_model(cfg):
        if cfg.code == "surface":
            return ModelFactory._create_surface_model(cfg)
        else:
            raise ValueError("Invalid model name")

    @staticmethod
    def _create_surface_model(cfg):
        if cfg.model.version == "predecoder_memory_v1":
            from model.predecoder import PreDecoderModelMemory_v1
            model = PreDecoderModelMemory_v1(cfg)
            return model
        elif cfg.model.version == "predecoder_sd_litenet_v1":
            from model.predecoder_sd_litenet_v1 import PredecoderSDLiteNetV1
            model = PredecoderSDLiteNetV1(
                input_channels=getattr(cfg.model, "input_channels", 4),
                out_channels=getattr(cfg.model, "out_channels", 4),
                hidden_dim=getattr(cfg.model, "hidden_dim", 64),
                bottleneck_dim=getattr(cfg.model, "bottleneck_dim", 16),
                dropout_p=getattr(cfg.model, "dropout_p", 0.05),
            )
            return model
        elif cfg.model.version == "predecoder_fasthyper_rf13_v1":
            from model.predecoder_fasthyper_rf13_v1 import PredecoderFastHyperRF13V1
            model = PredecoderFastHyperRF13V1(
                input_channels=getattr(cfg.model, "input_channels", 4),
                out_channels=getattr(cfg.model, "out_channels", 4),
                hidden_dim=getattr(cfg.model, "hidden_dim", 96),
                mid_dim=getattr(cfg.model, "mid_dim", 144),
                mix_groups=getattr(cfg.model, "mix_groups", 6),
                num_blocks=getattr(cfg.model, "num_blocks", 5),
                stem_kernel_size=getattr(cfg.model, "stem_kernel_size", 3),
                dropout_p=getattr(cfg.model, "dropout_p", 0.02),
                gate_reduction=getattr(cfg.model, "gate_reduction", 4),
            )
            return model
        else:
            raise ValueError(f"Invalid model version: {cfg.model.version}")