Type Info
Type Info¶
The numerical properties of a torch.dtype
can be accessed through either the torch.finfo
or the torch.iinfo
.
torch.finfo¶
-
class
torch.
finfo
¶
A torch.finfo
is an object that represents the numerical properties of a floating point
torch.dtype
, (i.e. torch.float32
, torch.float64
, and torch.float16
). This is similar to numpy.finfo.
A torch.finfo
provides the following attributes:
Name |
Type |
Description |
---|---|---|
bits |
int |
The number of bits occupied by the type. |
eps |
float |
The smallest representable number such that |
max |
float |
The largest representable number. |
min |
float |
The smallest representable number (typically |
tiny |
float |
The smallest positive representable number. |
resolution |
float |
The approximate decimal resolution of this type, i.e., |
Note
The constructor of torch.finfo
can be called without argument, in which case the class is created for the pytorch default dtype (as returned by torch.get_default_dtype()
).
torch.iinfo¶
-
class
torch.
iinfo
¶
A torch.iinfo
is an object that represents the numerical properties of a integer
torch.dtype
(i.e. torch.uint8
, torch.int8
, torch.int16
, torch.int32
, and torch.int64
). This is similar to numpy.iinfo.
A torch.iinfo
provides the following attributes:
Name |
Type |
Description |
---|---|---|
bits |
int |
The number of bits occupied by the type. |
max |
int |
The largest representable number. |
min |
int |
The smallest representable number. |
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