tf.experimental.numpy.string_ bytes(iterable_of_ints) -> bytes 
tf.experimental.numpy.string_(
    *args, **kwargs
)
 bytes(string, encoding[, errors]) -> bytes bytes(bytes_or_buffer) -> immutable copy of bytes_or_buffer bytes(int) -> bytes object of size given by the parameter initialized with null bytes bytes() -> empty bytes object Construct an immutable array of bytes from:  an iterable yielding integers in range(256) a text string encoded using the specified encoding any object implementing the buffer API. an integer  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. capitalize 
capitalize()
 B.capitalize() -> copy of B Return a copy of B with only its first character capitalized (ASCII) and the rest lower-cased. center 
center()
 B.center(width[, fillchar]) -> copy of B Return B centered in a string of length width. Padding is done using the specified fill character (default is a space). 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. count 
count()
 B.count(sub[, start[, end]]) -> int Return the number of non-overlapping occurrences of subsection sub in bytes B[start:end]. Optional arguments start and end are interpreted as in slice notation. 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. decode 
decode(
    encoding='utf-8', errors='strict'
)
 Decode the bytes using the codec registered for encoding. encoding The encoding with which to decode the bytes. errors The error handling scheme to use for the handling of decoding errors. The default is 'strict' meaning that decoding errors raise a UnicodeDecodeError. Other possible values are 'ignore' and 'replace' as well as any other name registered with codecs.register_error that can handle UnicodeDecodeErrors. 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. endswith 
endswith()
 B.endswith(suffix[, start[, end]]) -> bool Return True if B ends with the specified suffix, False otherwise. With optional start, test B beginning at that position. With optional end, stop comparing B at that position. suffix can also be a tuple of bytes to try. expandtabs 
expandtabs()
 B.expandtabs(tabsize=8) -> copy of B Return a copy of B where all tab characters are expanded using spaces. If tabsize is not given, a tab size of 8 characters is assumed. 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. find 
find()
 B.find(sub[, start[, end]]) -> int Return the lowest index in B where subsection sub is found, such that sub is contained within B[start,end]. Optional arguments start and end are interpreted as in slice notation. Return -1 on failure. 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. fromhex 
fromhex(
    string, /
)
 Create a bytes object from a string of hexadecimal numbers. Spaces between two numbers are accepted. Example: bytes.fromhex('B9 01EF') -> b'\xb9\x01\xef'. 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. hex 
hex()
 B.hex() -> string Create a string of hexadecimal numbers from a bytes object. Example: b'\xb9\x01\xef'.hex() -> 'b901ef'. index 
index()
 B.index(sub[, start[, end]]) -> int Return the lowest index in B where subsection sub is found, such that sub is contained within B[start,end]. Optional arguments start and end are interpreted as in slice notation. Raises ValueError when the subsection is not found. isalnum 
isalnum()
 B.isalnum() -> bool Return True if all characters in B are alphanumeric and there is at least one character in B, False otherwise. isalpha 
isalpha()
 B.isalpha() -> bool Return True if all characters in B are alphabetic and there is at least one character in B, False otherwise. isascii 
isascii()
 B.isascii() -> bool Return True if B is empty or all characters in B are ASCII, False otherwise. isdigit 
isdigit()
 B.isdigit() -> bool Return True if all characters in B are digits and there is at least one character in B, False otherwise. islower 
islower()
 B.islower() -> bool Return True if all cased characters in B are lowercase and there is at least one cased character in B, False otherwise. isspace 
isspace()
 B.isspace() -> bool Return True if all characters in B are whitespace and there is at least one character in B, False otherwise. istitle 
istitle()
 B.istitle() -> bool Return True if B is a titlecased string and there is at least one character in B, i.e. uppercase characters may only follow uncased characters and lowercase characters only cased ones. Return False otherwise. isupper 
isupper()
 B.isupper() -> bool Return True if all cased characters in B are uppercase and there is at least one cased character in B, False otherwise. 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. join 
join(
    iterable_of_bytes, /
)
 Concatenate any number of bytes objects. The bytes whose method is called is inserted in between each pair. The result is returned as a new bytes object. Example: b'.'.join([b'ab', b'pq', b'rs']) -> b'ab.pq.rs'. ljust 
ljust()
 B.ljust(width[, fillchar]) -> copy of B Return B left justified in a string of length width. Padding is done using the specified fill character (default is a space). lower 
lower()
 B.lower() -> copy of B Return a copy of B with all ASCII characters converted to lowercase. lstrip 
lstrip(
    bytes, /
)
 Strip leading bytes contained in the argument. If the argument is omitted or None, strip leading ASCII whitespace. maketrans 
maketrans(
    frm, to, /
)
 Return a translation table useable for the bytes or bytearray translate method. The returned table will be one where each byte in frm is mapped to the byte at the same position in to. The bytes objects frm and to must be of the same length. 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   '<', 'L'- little endian '>', 'B'- big endian '=', 'N'- native order '|', 'I'- ignore (no change to byte order)  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. partition 
partition(
    sep, /
)
 Partition the bytes into three parts using the given separator. This will search for the separator sep in the bytes. If the separator is found, returns a 3-tuple containing the part before the separator, the separator itself, and the part after it. If the separator is not found, returns a 3-tuple containing the original bytes object and two empty bytes objects. 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. replace 
replace(
    old, new, count, /
)
 Return a copy with all occurrences of substring old replaced by new. count Maximum number of occurrences to replace. -1 (the default value) means replace all occurrences. If the optional argument count is given, only the first count occurrences are replaced. 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. rfind 
rfind()
 B.rfind(sub[, start[, end]]) -> int Return the highest index in B where subsection sub is found, such that sub is contained within B[start,end]. Optional arguments start and end are interpreted as in slice notation. Return -1 on failure. rindex 
rindex()
 B.rindex(sub[, start[, end]]) -> int Return the highest index in B where subsection sub is found, such that sub is contained within B[start,end]. Optional arguments start and end are interpreted as in slice notation. Raise ValueError when the subsection is not found. rjust 
rjust()
 B.rjust(width[, fillchar]) -> copy of B Return B right justified in a string of length width. Padding is done using the specified fill character (default is a space) 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. rpartition 
rpartition(
    sep, /
)
 Partition the bytes into three parts using the given separator. This will search for the separator sep in the bytes, starting at the end. If the separator is found, returns a 3-tuple containing the part before the separator, the separator itself, and the part after it. If the separator is not found, returns a 3-tuple containing two empty bytes objects and the original bytes object. rsplit 
rsplit(
    sep=None, maxsplit=-1
)
 Return a list of the sections in the bytes, using sep as the delimiter. sep The delimiter according which to split the bytes. None (the default value) means split on ASCII whitespace characters (space, tab, return, newline, formfeed, vertical tab). maxsplit Maximum number of splits to do. -1 (the default value) means no limit. Splitting is done starting at the end of the bytes and working to the front. rstrip 
rstrip(
    bytes, /
)
 Strip trailing bytes contained in the argument. If the argument is omitted or None, strip trailing ASCII whitespace. 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. split 
split(
    sep=None, maxsplit=-1
)
 Return a list of the sections in the bytes, using sep as the delimiter. sep The delimiter according which to split the bytes. None (the default value) means split on ASCII whitespace characters (space, tab, return, newline, formfeed, vertical tab). maxsplit Maximum number of splits to do. -1 (the default value) means no limit. splitlines 
splitlines(
    keepends=False
)
 Return a list of the lines in the bytes, breaking at line boundaries. Line breaks are not included in the resulting list unless keepends is given and true. 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. startswith 
startswith()
 B.startswith(prefix[, start[, end]]) -> bool Return True if B starts with the specified prefix, False otherwise. With optional start, test B beginning at that position. With optional end, stop comparing B at that position. prefix can also be a tuple of bytes to try. 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. strip 
strip(
    bytes, /
)
 Strip leading and trailing bytes contained in the argument. If the argument is omitted or None, strip leading and trailing ASCII whitespace. 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. swapcase 
swapcase()
 B.swapcase() -> copy of B Return a copy of B with uppercase ASCII characters converted to lowercase ASCII and vice versa. 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. title 
title()
 B.title() -> copy of B Return a titlecased version of B, i.e. ASCII words start with uppercase characters, all remaining cased characters have lowercase. 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. translate 
translate(
    table, /, delete=b''
)
 Return a copy with each character mapped by the given translation table. table Translation table, which must be a bytes object of length 256. All characters occurring in the optional argument delete are removed. The remaining characters are mapped through the given translation table. 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. upper 
upper()
 B.upper() -> copy of B Return a copy of B with all ASCII characters converted to uppercase. 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. zfill 
zfill()
 B.zfill(width) -> copy of B Pad a numeric string B with zeros on the left, to fill a field of the specified width. B is never truncated. __abs__ 
__abs__()
 abs(self) __add__ 
__add__(
    value, /
)
 Return self+value. __and__ 
__and__(
    value, /
)
 Return self&value. __bool__ 
__bool__()
 self != 0 __contains__ 
__contains__(
    key, /
)
 Return key in self. __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 __iter__ 
__iter__()
 Implement iter(self). __le__ 
__le__(
    value, /
)
 Return self<=value. __len__ 
__len__()
 Return len(self). __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.
 


 Class Variables
  T  
 
  base  
 
  data  
 
  dtype  
 
  flags  
 
  flat  
 
  imag  
 
  itemsize  
 
  nbytes  
 
  ndim  
 
  real  
 
  shape  
 
  size  
 
  strides