code stringlengths 3 6.57k |
|---|
kwargs (:obj:`Dict[str, Any]`) |
kwargs.pop("return_unused_kwargs", False) |
cls(**config_dict) |
hasattr(config, "pruned_heads") |
dict((int(key) |
config.pruned_heads.items() |
kwargs.items() |
hasattr(config, key) |
setattr(config, key, value) |
to_remove.append(key) |
kwargs.pop(key, None) |
logger.info(f"Model config {config}") |
from_json_file(cls, json_file: Union[str, os.PathLike]) |
json_file (:obj:`str` or :obj:`os.PathLike`) |
cls._dict_from_json_file(json_file) |
cls(**config_dict) |
_dict_from_json_file(cls, json_file: Union[str, os.PathLike]) |
open(json_file, "r", encoding="utf-8") |
reader.read() |
json.loads(text) |
__eq__(self, other) |
__repr__(self) |
self.to_json_string() |
to_diff_dict(self) |
self.to_dict() |
PretrainedConfig() |
to_dict() |
self.__class__() |
to_dict() |
config_dict.items() |
or (key in class_config_dict and value != class_config_dict[key]) |
self.dict_torch_dtype_to_str(serializable_config_dict) |
to_dict(self) |
copy.deepcopy(self.__dict__) |
hasattr(self.__class__, "model_type") |
self.dict_torch_dtype_to_str(output) |
to_json_string(self, use_diff: bool = True) |
use_diff (:obj:`bool`, `optional`, defaults to :obj:`True`) |
PretrainedConfig() |
self.to_diff_dict() |
self.to_dict() |
json.dumps(config_dict, indent=2, sort_keys=True) |
to_json_file(self, json_file_path: Union[str, os.PathLike], use_diff: bool = True) |
json_file_path (:obj:`str` or :obj:`os.PathLike`) |
use_diff (:obj:`bool`, `optional`, defaults to :obj:`True`) |
PretrainedConfig() |
open(json_file_path, "w", encoding="utf-8") |
writer.write(self.to_json_string(use_diff=use_diff) |
update(self, config_dict: Dict[str, Any]) |
config_dict (:obj:`Dict[str, Any]`) |
config_dict.items() |
setattr(self, key, value) |
update_from_string(self, update_str: str) |
update_str (:obj:`str`) |
dict(x.split("=") |
update_str.split(",") |
d.items() |
hasattr(self, k) |
ValueError(f"key {k} isn't in the original config dict") |
getattr(self, k) |
isinstance(old_v, bool) |
v.lower() |
v.lower() |
ValueError(f"can't derive true or false from {v} (key {k}) |
isinstance(old_v, int) |
int(v) |
isinstance(old_v, float) |
float(v) |
isinstance(old_v, str) |
setattr(self, k, v) |
dict_torch_dtype_to_str(self, d: Dict[str, Any]) |
d.get("torch_dtype", None) |
isinstance(d["torch_dtype"], str) |
str(d["torch_dtype"]) |
split(".") |
copy_func(PretrainedConfig.push_to_hub) |
O(M * U + N) |
O(U) |
O(M) |
O(1) |
countContainedPermutations(bigString, smallString) |
len(bigString) |
len(smallString) |
matchCounts(bigCount, smallCount) |
matchCounts(bigCount, smallCount) |
NA_Syndra_Jng_Aatrox(Ratings) |
NA_Syndra_Jng_Ahri(Ratings) |
NA_Syndra_Jng_Akali(Ratings) |
NA_Syndra_Jng_Alistar(Ratings) |
NA_Syndra_Jng_Amumu(Ratings) |
NA_Syndra_Jng_Anivia(Ratings) |
NA_Syndra_Jng_Annie(Ratings) |
NA_Syndra_Jng_Ashe(Ratings) |
NA_Syndra_Jng_AurelionSol(Ratings) |
NA_Syndra_Jng_Azir(Ratings) |
NA_Syndra_Jng_Bard(Ratings) |
NA_Syndra_Jng_Blitzcrank(Ratings) |
NA_Syndra_Jng_Brand(Ratings) |
NA_Syndra_Jng_Braum(Ratings) |
NA_Syndra_Jng_Caitlyn(Ratings) |
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