jax.numpy.finfo

class jax.numpy.finfo(dtype)[source]

Machine limits for floating point types.

bits

The number of bits occupied by the type.

Type

int

eps

The difference between 1.0 and the next smallest representable float larger than 1.0. For example, for 64-bit binary floats in the IEEE-754 standard, eps = 2**-52, approximately 2.22e-16.

Type

float

epsneg

The difference between 1.0 and the next smallest representable float less than 1.0. For example, for 64-bit binary floats in the IEEE-754 standard, epsneg = 2**-53, approximately 1.11e-16.

Type

float

iexp

The number of bits in the exponent portion of the floating point representation.

Type

int

machar

The object which calculated these parameters and holds more detailed information.

Type

MachAr

machep

The exponent that yields eps.

Type

int

max

The largest representable number.

Type

floating point number of the appropriate type

maxexp

The smallest positive power of the base (2) that causes overflow.

Type

int

min

The smallest representable number, typically -max.

Type

floating point number of the appropriate type

minexp

The most negative power of the base (2) consistent with there being no leading 0’s in the mantissa.

Type

int

negep

The exponent that yields epsneg.

Type

int

nexp

The number of bits in the exponent including its sign and bias.

Type

int

nmant

The number of bits in the mantissa.

Type

int

precision

The approximate number of decimal digits to which this kind of float is precise.

Type

int

resolution

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

Type

floating point number of the appropriate type

tiny

The smallest positive usable number. Type of tiny is an appropriate floating point type.

Type

float

Parameters

dtype (float, dtype, or instance) – Kind of floating point data-type about which to get information.

See also

MachAr

The implementation of the tests that produce this information.

iinfo

The equivalent for integer data types.

spacing

The distance between a value and the nearest adjacent number

nextafter

The next floating point value after x1 towards x2

Notes

For developers of NumPy: do not instantiate this at the module level. The initial calculation of these parameters is expensive and negatively impacts import times. These objects are cached, so calling finfo() repeatedly inside your functions is not a problem.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()

Initialize self.