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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, torch.float16, and torch.bfloat16). 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.

min

float

The smallest representable number (typically -max).

tiny

float

The smallest positive normal number. Equivalent to smallest_normal.

smallest_normal

float

The smallest positive normal number. See notes.

resolution

float

The approximate decimal resolution of this type, i.e., 10**-precision.

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()).

Note

smallest_normal returns the smallest normal number, but there are smaller subnormal numbers. See https://en.wikipedia.org/wiki/Denormal_number for more information.

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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