tf.experimental.numpy.uint16

Unsigned integer type, compatible with C unsigned short.

tf.experimental.numpy.uint16(
    *args, **kwargs
)

Character code: 'H'. Canonical name: np.ushort. Alias on this platform: np.uint16: 16-bit unsigned integer (0 to 65535).

Methods

all

all()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

any

any()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

argmax

argmax()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

argmin

argmin()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

argsort

argsort()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

astype

astype()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

byteswap

byteswap()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

choose

choose()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

clip

clip()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

compress

compress()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

conj

conj()

conjugate

conjugate()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

copy

copy()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

cumprod

cumprod()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

cumsum

cumsum()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

diagonal

diagonal()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

dump

dump()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

dumps

dumps()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

fill

fill()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

flatten

flatten()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

getfield

getfield()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

item

item()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

itemset

itemset()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

max

max()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

mean

mean()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

min

min()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

newbyteorder

newbyteorder()

newbyteorder(new_order='S')

Return a new dtype with a different byte order.

Changes are also made in all fields and sub-arrays of the data type.

The new_order code can be any from the following:

• 'S' - swap dtype from current to opposite endian

Parameters

new_order : str, optional Byte order to force; a value from the byte order specifications above. The default value ('S') results in swapping the current byte order. The code does a case-insensitive check on the first letter of new_order for the alternatives above. For example, any of 'B' or 'b' or 'biggish' are valid to specify big-endian.

Returns

new_dtype : dtype New dtype object with the given change to the byte order.

nonzero

nonzero()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

prod

prod()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

ptp

ptp()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

put

put()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

ravel

ravel()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

repeat

repeat()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

reshape

reshape()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

resize

resize()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

round

round()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

searchsorted

searchsorted()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

setfield

setfield()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

setflags

setflags()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

sort

sort()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

squeeze

squeeze()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

std

std()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

sum

sum()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

swapaxes

swapaxes()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

take

take()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

tobytes

tobytes()

tofile

tofile()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

tolist

tolist()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

tostring

tostring()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

trace

trace()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

transpose

transpose()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

var

var()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

view

view()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

__abs__

__abs__()

abs(self)

__add__

__add__(
    value, /
)

Return self+value.

__and__

__and__(
    value, /
)

Return self&value.

__bool__

__bool__()

self != 0

__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.

__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.

__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).

__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.