57 lines
1.2 KiB
Python
57 lines
1.2 KiB
Python
from torch import nn
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from openselfsup.utils import build_from_cfg
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from .registry import (BACKBONES, MODELS, NECKS, HEADS, MEMORIES, LOSSES)
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def build(cfg, registry, default_args=None):
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"""Build a module.
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Args:
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cfg (dict, list[dict]): The config of modules, it is either a dict
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or a list of configs.
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registry (:obj:`Registry`): A registry the module belongs to.
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default_args (dict, optional): Default arguments to build the module.
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Default: None.
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Returns:
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nn.Module: A built nn module.
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"""
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if isinstance(cfg, list):
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modules = [
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build_from_cfg(cfg_, registry, default_args) for cfg_ in cfg
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]
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return nn.Sequential(*modules)
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else:
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return build_from_cfg(cfg, registry, default_args)
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def build_backbone(cfg):
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"""Build backbone."""
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return build(cfg, BACKBONES)
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def build_neck(cfg):
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"""Build neck."""
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return build(cfg, NECKS)
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def build_memory(cfg):
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"""Build memory."""
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return build(cfg, MEMORIES)
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def build_head(cfg):
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"""Build head."""
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return build(cfg, HEADS)
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def build_loss(cfg):
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"""Build loss."""
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return build(cfg, LOSSES)
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def build_model(cfg):
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"""Build model."""
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return build(cfg, MODELS)
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