Tangledup-ai/sam3_local
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apply Black 25.11.0 style in fbcode/deeplearning/projects (21/92)

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Summary:
Formats the covered files with pyfmt.

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Reviewed By: itamaro

Differential Revision: D90476315

fbshipit-source-id: ee94c471788b8e7d067813d8b3e0311214d17f3f
This commit is contained in:
Bowie Chen
2026-01-11 23:16:49 -08:00
committed by meta-codesync[bot]
parent 7b89b8fc3f
commit 11dec2936d
69 changed files with 445 additions and 522 deletions
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13
sam3/train/optim/optimizer.py
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@@ -22,7 +22,6 @@ from typing import (
)
import hydra
import torch
import torch.nn as nn
from omegaconf import DictConfig
@@ -212,9 +211,9 @@ def unix_module_cls_pattern_to_parameter_names(
"match any classes in the model"
)
matching_parameters = module_cls_to_param_names[module_cls]
assert (
len(matching_parameters) > 0
), f"module_cls_name {module_cls_name} does not contain any parameters in the model"
assert len(matching_parameters) > 0, (
f"module_cls_name {module_cls_name} does not contain any parameters in the model"
)
logging.info(
f"Matches for module_cls_name [{module_cls_name}]: {matching_parameters} "
)
@@ -240,9 +239,9 @@ def unix_param_pattern_to_parameter_names(
allowed_parameter_names = []
for param_name in filter_param_names:
matching_parameters = set(fnmatch.filter(parameter_names, param_name))
assert (
len(matching_parameters) >= 1
), f"param_name {param_name} does not match any parameters in the model"
assert len(matching_parameters) >= 1, (
f"param_name {param_name} does not match any parameters in the model"
)
logging.info(f"Matches for param_name [{param_name}]: {matching_parameters}")
allowed_parameter_names.append(matching_parameters)
return set.union(*allowed_parameter_names)