LostTech.TensorFlow : API Documentation
Types in numpy
_ArrayLike
ArrayLike<T>
ArrayOrElement<T>
bool_
byte
character
clongfloat
complex_
complex128
complex256
complex64
complexfloating
csingle
dtype
ErrorModeExtensions
flagsobj
flatiter
flexible
float128
float16
float32
float64
floating<T>
FloatingErrorHandler
FloatingErrorMode
FloatingErrorState
generic
generic<T>
half
I_ArrayLike
IArrayLike<T>
Ibool_
Ibyte
Icharacter
Iclongfloat
Icomplex_
Icomplex128
Icomplex256
Icomplex64
Icomplexfloating
Icsingle
Idtype
Iflagsobj
Iflatiter
Iflexible
Ifloat_
Ifloat128
Ifloat16
Ifloat32
Ifloat64
Ifloating
Igeneric
Ihalf
Iinexact
Iint_
Iint16
Iint32
Iint64
Iint8
Iintc
Iinteger
Ilongfloat_
Ilonglong
Indarray
inexact<T>
int16
int32
int64
int8
intc
integer<T>
Inumber
Iobject_
Ishort
Isignedinteger
Isingle
Istr_
Iubyte
Iuint
Iuint16
Iuint32
Iuint64
Iuint8
Iuintc
Iulonglong
Iunicode_
Iunsignedinteger
Iushort
Ivoid
longlong
MarshalingExtensions
ndarray
ndarray<T>
np
NullComparison
NullComparison<T>
number<T>
NumPyTypingExtensions
object_
random
RestOfTheAxes
short
signedinteger<T>
single
str_
ubyte
uint
uint16
uint32
uint64
uint8
uintc
ulonglong
unicode_
unsignedinteger<T>
ushort
void
Type
Igeneric
Namespace
numpy
Interfaces
I_ArrayLike