EasyCV/configs/base.py

train_cfg = {}
test_cfg = {}
optimizer_config = dict()  # grad_clip, coalesce, bucket_size_mb
# yapf:disable
log_config = dict(
    interval=50,
    hooks=[
        dict(type='TextLoggerHook'),
        # dict(type='TensorboardLoggerHook')
    ])
# yapf:enable
# runtime settings
dist_params = dict(backend='nccl')
cudnn_benchmark = False
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
initial commit 2022-04-02 20:01:06 +08:00			`train_cfg = {}`
			`test_cfg = {}`
			`optimizer_config = dict() # grad_clip, coalesce, bucket_size_mb`
			`# yapf:disable`
			`log_config = dict(`
add dn_detr algo (#119) support dn-detr-r50: 44.39 refactor set_criterion 2022-07-27 15:06:06 +08:00			`interval=50,`
initial commit 2022-04-02 20:01:06 +08:00			`hooks=[`
			`dict(type='TextLoggerHook'),`
			`# dict(type='TensorboardLoggerHook')`
			`])`
			`# yapf:enable`
			`# runtime settings`
			`dist_params = dict(backend='nccl')`
Support ViTDet algo (#35) * adapt mmlab modules * add vitdet * support conv aggregation * modify vitdet load pretrained * support fp16 * modify defaultformatbundle * modify aug * bugfix sampler * bugfix mmresize * bugfix fp16&nonetype * bugfix filterannotation * support dlc * bugfix dist * bugfix detsourcecoco * smodify mmdet_parse_losses * bugfix nan * bugfix eval * bugfix data=nonetype * modify resize_embed * support vitdet_conv * add vitdet_conv init_weight * add test_vitdet * uniform rand_another * uniform use fp16 method * add test_fp16 Co-authored-by: jiangnana.jnn <jiangnana.jnn@alibaba-inc.com> 2022-06-10 21:49:32 +08:00			`cudnn_benchmark = False`
initial commit 2022-04-02 20:01:06 +08:00			`log_level = 'INFO'`
			`load_from = None`
			`resume_from = None`
			`workflow = [('train', 1)]`