tf.experimental.numpy.float32

Single-precision floating-point number type, compatible with C float.

Inherits From: inexact

tf.experimental.numpy.float32(
    *args, **kwargs
)

:Character code: 'f' :Canonical name: numpy.single :Alias on this platform (Linux x86_64): numpy.float32: 32-bit-precision floating-point number type: sign bit, 8 bits exponent, 23 bits mantissa.

T Scalar attribute identical to ndarray.T.
base Scalar attribute identical to ndarray.base.
data Pointer to start of data.
device

dtype Get array data-descriptor.
flags The integer value of flags.
flat A 1-D view of the scalar.
imag The imaginary part of the scalar.
itemsize The length of one element in bytes.
nbytes

ndim The number of array dimensions.
real The real part of the scalar.
shape Tuple of array dimensions.
size The number of elements in the gentype.
strides Tuple of bytes steps in each dimension.

Methods

all

all(
    axis=None, out=None, keepdims=False, *, where=True
)

Scalar method identical to ndarray.all.

any

any(
    axis=None, out=None, keepdims=False, *, where=True
)

Scalar method identical to ndarray.any.

argmax

argmax(
    axis=None, out=None, *, keepdims=False
)

Scalar method identical to ndarray.argmax.

argmin

argmin(
    axis=None, out=None, *, keepdims=False
)

Scalar method identical to ndarray.argmin.

argsort

argsort(
    axis=-1, kind=None, order=None, *, stable=None
)

Scalar method identical to ndarray.argsort.

as_integer_ratio

as_integer_ratio()

single.as_integer_ratio() -> (int, int)

Return a pair of integers, whose ratio is exactly equal to the original floating point number, and with a positive denominator. Raise OverflowError on infinities and a ValueError on NaNs.

np.single(10.0).as_integer_ratio()
(10, 1)
np.single(0.0).as_integer_ratio()
(0, 1)
np.single(-.25).as_integer_ratio()
(-1, 4)

astype

astype(
    dtype,
    order='K',
    casting='unsafe',
    subok=True,
    copy=True
)

Scalar method identical to ndarray.astype.

byteswap

byteswap(
    inplace=False
)

Scalar method identical to ndarray.byteswap.

choose

choose(
    choices, out=None, mode='raise'
)

Scalar method identical to ndarray.choose.

clip

clip(
    min=None, max=None, out=None, **kwargs
)

Scalar method identical to ndarray.clip.

compress

compress(
    condition, axis=None, out=None
)

Scalar method identical to ndarray.compress.

conj

conj()

Scalar method identical to ndarray.conj.

conjugate

conjugate()

Scalar method identical to ndarray.conjugate.

copy

copy(
    order='C'
)

Scalar method identical to ndarray.copy.

cumprod

cumprod(
    axis=None, dtype=None, out=None
)

Scalar method identical to ndarray.cumprod.

cumsum

cumsum(
    axis=None, dtype=None, out=None
)

Scalar method identical to ndarray.cumsum.

diagonal

diagonal(
    offset=0, axis1=0, axis2=1
)

Scalar method identical to ndarray.diagonal.

dump

dump(
    file
)

Scalar method identical to ndarray.dump.

dumps

dumps()

Scalar method identical to ndarray.dumps.

fill

fill(
    value
)

Scalar method identical to ndarray.fill.

flatten

flatten(
    order='C'
)

Scalar method identical to ndarray.flatten.

getfield

getfield(
    dtype, offset=0
)

Scalar method identical to ndarray.getfield.

is_integer

is_integer()

single.is_integer() -> bool

Return True if the floating point number is finite with integral value, and False otherwise.

.. versionadded:: 1.22

Examples

>>> np.single(-2.0).is_integer()
True
>>> np.single(3.2).is_integer()
False

item

item(
    *args
)

Scalar method identical to ndarray.item.

max

max(
    axis=None, out=None, **kwargs
)

Scalar method identical to ndarray.max.

mean

mean(
    axis=None, dtype=None, out=None, **kwargs
)

Scalar method identical to ndarray.mean.

min

min(
    axis=None, out=None, **kwargs
)

Scalar method identical to ndarray.min.

nonzero

nonzero()

Scalar method identical to ndarray.nonzero.

prod

prod(
    axis=None, dtype=None, out=None, **kwargs
)

Scalar method identical to ndarray.prod.

put

put(
    indices, values, /, mode='raise'
)

Scalar method identical to ndarray.put.

ravel

ravel(
    order='C'
)

Scalar method identical to ndarray.ravel.

repeat

repeat(
    repeats, /, axis=None
)

Scalar method identical to ndarray.repeat.

reshape

reshape(
    *shape, order='C', copy=None
)

Scalar method identical to ndarray.reshape.

resize

resize(
    *new_shape, refcheck=True
)

Scalar method identical to ndarray.resize.

round

round(
    decimals=0, out=None
)

Scalar method identical to ndarray.round.

searchsorted

searchsorted(
    v, /, side='left', sorter=None
)

Scalar method identical to ndarray.searchsorted.

setfield

setfield(
    val, /, dtype, offset=0
)

Scalar method identical to ndarray.setfield.

setflags

setflags(
    *, write=None, align=None, uic=None
)

Scalar method identical to ndarray.setflags.

sort

sort(
    axis=-1, kind=None, order=None, *, stable=None
)

Scalar method identical to ndarray.sort.

squeeze

squeeze(
    axis=None
)

Scalar method identical to ndarray.squeeze.

std

std(
    axis=None, dtype=None, out=None, ddof=0, **kwargs
)

Scalar method identical to ndarray.std.

sum

sum(
    axis=None, dtype=None, out=None, **kwargs
)

Scalar method identical to ndarray.sum.

swapaxes

swapaxes(
    axis1, axis2, /
)

Scalar method identical to ndarray.swapaxes.

take

take(
    indices, /, axis=None, out=None, mode='raise'
)

Scalar method identical to ndarray.take.

to_device

to_device(
    device, /, *, stream=None
)

Scalar method identical to ndarray.to_device.

tobytes

tobytes(
    order='C'
)

Scalar method identical to ndarray.tobytes.

tofile

tofile(
    fid, /, sep='', format='%s'
)

Scalar method identical to ndarray.tofile.

tolist

tolist()

Scalar method identical to ndarray.tolist.

trace

trace(
    offset=0, axis1=0, axis2=1, dtype=None, out=None
)

Scalar method identical to ndarray.trace.

transpose

transpose(
    *axes
)

Scalar method identical to ndarray.transpose.

var

var(
    axis=None, dtype=None, out=None, ddof=0, **kwargs
)

Scalar method identical to ndarray.var.

view

view(
    *args, **kwargs
)

Scalar method identical to ndarray.view.

__abs__

__abs__()

abs(self)

__add__

__add__(
    value, /
)

Return self+value.

__and__

__and__(
    value, /
)

Return self&value.

__array__

__array__()

sc.array(dtype) return 0-dim array from scalar with specified dtype

__bool__

__bool__()

True if self else False

__eq__

__eq__(
    value, /
)

Return self==value.

__floordiv__

__floordiv__(
    value, /
)

Return self//value.

__ge__

__ge__(
    value, /
)

Return self>=value.

__getitem__

__getitem__(
    key, /
)

Return self[key].

__gt__

__gt__(
    value, /
)

Return self>value.

__invert__

__invert__()

~self

__le__

__le__(
    value, /
)

Return self<=value.

__lshift__

__lshift__(
    value, /
)

Return self<<value.

__lt__

__lt__(
    value, /
)

Return self<value.

__mod__

__mod__(
    value, /
)

Return self%value.

__mul__

__mul__(
    value, /
)

Return self*value.

__ne__

__ne__(
    value, /
)

Return self!=value.

__neg__

__neg__()

-self

__or__

__or__(
    value, /
)

Return self|value.

__pos__

__pos__()

+self

__pow__

__pow__(
    value, mod, /
)

Return pow(self, value, mod).

__radd__

__radd__(
    value, /
)

Return value+self.

__rand__

__rand__(
    value, /
)

Return value&self.

__rfloordiv__

__rfloordiv__(
    value, /
)

Return value//self.

__rlshift__

__rlshift__(
    value, /
)

Return value<<self.

__rmod__

__rmod__(
    value, /
)

Return value%self.

__rmul__

__rmul__(
    value, /
)

Return value*self.

__ror__

__ror__(
    value, /
)

Return value|self.

__rpow__

__rpow__(
    value, mod, /
)

Return pow(value, self, mod).

__rrshift__

__rrshift__(
    value, /
)

Return value>>self.

__rshift__

__rshift__(
    value, /
)

Return self>>value.

__rsub__

__rsub__(
    value, /
)

Return value-self.

__rtruediv__

__rtruediv__(
    value, /
)

Return value/self.

__rxor__

__rxor__(
    value, /
)

Return value^self.

__sub__

__sub__(
    value, /
)

Return self-value.

__truediv__

__truediv__(
    value, /
)

Return self/value.

__xor__

__xor__(
    value, /
)

Return self^value.