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from collections import defaultdict |
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import logging |
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logger = logging.getLogger("dinov2") |
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def get_vit_lr_decay_rate(name, lr_decay_rate=1.0, num_layers=12, force_is_backbone=False, chunked_blocks=False): |
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""" |
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Calculate lr decay rate for different ViT blocks. |
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Args: |
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name (string): parameter name. |
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lr_decay_rate (float): base lr decay rate. |
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num_layers (int): number of ViT blocks. |
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Returns: |
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lr decay rate for the given parameter. |
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""" |
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layer_id = num_layers + 1 |
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if name.startswith("backbone") or force_is_backbone: |
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if ( |
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".pos_embed" in name |
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or ".patch_embed" in name |
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or ".mask_token" in name |
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or ".cls_token" in name |
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or ".register_tokens" in name |
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): |
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layer_id = 0 |
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elif force_is_backbone and ( |
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"pos_embed" in name |
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or "patch_embed" in name |
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or "mask_token" in name |
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or "cls_token" in name |
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or "register_tokens" in name |
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): |
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layer_id = 0 |
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elif ".blocks." in name and ".residual." not in name: |
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layer_id = int(name[name.find(".blocks.") :].split(".")[2]) + 1 |
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elif chunked_blocks and "blocks." in name and "residual." not in name: |
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layer_id = int(name[name.find("blocks.") :].split(".")[2]) + 1 |
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elif "blocks." in name and "residual." not in name: |
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layer_id = int(name[name.find("blocks.") :].split(".")[1]) + 1 |
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return lr_decay_rate ** (num_layers + 1 - layer_id) |
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def get_params_groups_with_decay(model, lr_decay_rate=1.0, patch_embed_lr_mult=1.0): |
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chunked_blocks = False |
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if hasattr(model, "n_blocks"): |
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logger.info("chunked fsdp") |
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n_blocks = model.n_blocks |
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chunked_blocks = model.chunked_blocks |
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elif hasattr(model, "blocks"): |
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logger.info("first code branch") |
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n_blocks = len(model.blocks) |
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elif hasattr(model, "backbone"): |
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logger.info("second code branch") |
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n_blocks = len(model.backbone.blocks) |
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else: |
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logger.info("else code branch") |
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n_blocks = 0 |
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all_param_groups = [] |
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for name, param in model.named_parameters(): |
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name = name.replace("_fsdp_wrapped_module.", "") |
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if not param.requires_grad: |
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continue |
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decay_rate = get_vit_lr_decay_rate( |
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name, lr_decay_rate, num_layers=n_blocks, force_is_backbone=n_blocks > 0, chunked_blocks=chunked_blocks |
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) |
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d = {"params": param, "is_last_layer": False, "lr_multiplier": decay_rate, "wd_multiplier": 1.0, "name": name} |
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if "last_layer" in name: |
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d.update({"is_last_layer": True}) |
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if name.endswith(".bias") or "norm" in name or "gamma" in name: |
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d.update({"wd_multiplier": 0.0}) |
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if "patch_embed" in name: |
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d.update({"lr_multiplier": d["lr_multiplier"] * patch_embed_lr_mult}) |
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all_param_groups.append(d) |
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logger.info(f"""{name}: lr_multiplier: {d["lr_multiplier"]}, wd_multiplier: {d["wd_multiplier"]}""") |
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return all_param_groups |
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def fuse_params_groups(all_params_groups, keys=("lr_multiplier", "wd_multiplier", "is_last_layer")): |
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fused_params_groups = defaultdict(lambda: {"params": []}) |
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for d in all_params_groups: |
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identifier = "" |
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for k in keys: |
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identifier += k + str(d[k]) + "_" |
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for k in keys: |
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fused_params_groups[identifier][k] = d[k] |
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fused_params_groups[identifier]["params"].append(d["params"]) |
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return fused_params_groups.values() |