File size: 2,771 Bytes
d57fabf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | # 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
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}")
|