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 1.0 + eps != 1.0.
max	float	The largest representable number.
tiny	float	The smallest positive representable number.

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.