StringTable — PyTorch 2.7 documentation (original) (raw)

class torch.autograd.profiler_util.StringTable[source][source]¶

clear() → None. Remove all items from D.¶

copy() → a shallow copy of D.¶

default_factory¶

Factory for default value called by __missing__().

fromkeys(value=None, /)¶

Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)¶

Return the value for key if key is in the dictionary, else default.

items() → a set-like object providing a view on D's items¶

keys() → a set-like object providing a view on D's keys¶

pop(_k_[, _d_]) → v, remove specified key and return the corresponding value.¶

If key is not found, default is returned if given, otherwise KeyError is raised

popitem()¶

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

setdefault(key, default=None, /)¶

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

update([E, ]**F) → None. Update D from dict/iterable E and F.¶

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values() → an object providing a view on D's values¶