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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import logging
from . import vision_transformer as vits
logger = logging.getLogger("dinov2")
def build_model(args, only_teacher=False, img_size=224):
args.arch = args.arch.removesuffix("_memeff")
if "vit" in args.arch:
vit_kwargs = dict(
img_size=img_size,
patch_size=args.patch_size,
init_values=args.layerscale,
ffn_layer=args.ffn_layer,
block_chunks=args.block_chunks,
qkv_bias=args.qkv_bias,
proj_bias=args.proj_bias,
ffn_bias=args.ffn_bias,
)
teacher = vits.__dict__[args.arch](**vit_kwargs)
if only_teacher:
return teacher, teacher.embed_dim
student = vits.__dict__[args.arch](
**vit_kwargs,
drop_path_rate=args.drop_path_rate,
drop_path_uniform=args.drop_path_uniform,
)
embed_dim = student.embed_dim
return student, teacher, embed_dim
def build_model_from_cfg(cfg, only_teacher=False):
return build_model(cfg.student, only_teacher=only_teacher, img_size=cfg.crops.global_crops_size)
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