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| import json
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| def param_groups_lrd(model, weight_decay=0.05, no_weight_decay_list=[], layer_decay=.75):
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| """
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| Parameter groups for layer-wise lr decay
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| Following BEiT: https://github.com/microsoft/unilm/blob/master/beit/optim_factory.py#L58
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| """
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| param_group_names = {}
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| param_groups = {}
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| num_layers = len(model.blocks) + 1
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| layer_scales = list(layer_decay ** (num_layers - i) for i in range(num_layers + 1))
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| for n, p in model.named_parameters():
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| if not p.requires_grad:
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| continue
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| if p.ndim == 1 or n in no_weight_decay_list:
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| g_decay = "no_decay"
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| this_decay = 0.
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| else:
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| g_decay = "decay"
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| this_decay = weight_decay
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| layer_id = get_layer_id_for_vit(n, num_layers)
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| group_name = "layer_%d_%s" % (layer_id, g_decay)
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| if group_name not in param_group_names:
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| this_scale = layer_scales[layer_id]
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| param_group_names[group_name] = {
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| "lr_scale": this_scale,
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| "weight_decay": this_decay,
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| "params": [],
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| }
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| param_groups[group_name] = {
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| "lr_scale": this_scale,
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| "weight_decay": this_decay,
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| "params": [],
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| }
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| param_group_names[group_name]["params"].append(n)
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| param_groups[group_name]["params"].append(p)
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| return list(param_groups.values())
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| def get_layer_id_for_vit(name, num_layers):
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| """
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| Assign a parameter with its layer id
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| Following BEiT: https://github.com/microsoft/unilm/blob/master/beit/optim_factory.py#L33
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| """
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| if name in ['cls_token', 'pos_embed']:
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| return 0
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| elif name.startswith('patch_embed'):
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| return 0
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| elif name.startswith('blocks'):
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| return int(name.split('.')[1]) + 1
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| else:
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| return num_layers |