jax.numpy.generic

class jax.numpy.generic

Base class for numpy scalar types.

Class from which most (all?) numpy scalar types are derived. For consistency, exposes the same API as ndarray, despite many consequent attributes being either “get-only,” or completely irrelevant. This is the class from which it is strongly suggested users should derive custom scalar types.

__init__()

Methods

__init__()
all([axis, out, keepdims, where])	Scalar method identical to ndarray.all.
any([axis, out, keepdims, where])	Scalar method identical to ndarray.any.
argmax([axis, out, keepdims])	Scalar method identical to ndarray.argmax.
argmin([axis, out, keepdims])	Scalar method identical to ndarray.argmin.
argsort([axis, kind, order, stable])	Scalar method identical to ndarray.argsort.
astype(dtype[, order, casting, subok, copy])	Scalar method identical to ndarray.astype.
byteswap([inplace])	Scalar method identical to ndarray.byteswap.
choose(choices[, out, mode])	Scalar method identical to ndarray.choose.
clip([min, max, out])	Scalar method identical to ndarray.clip.
compress(condition[, axis, out])	Scalar method identical to ndarray.compress.
conj()	Scalar method identical to ndarray.conj.
conjugate()	Scalar method identical to ndarray.conjugate.
copy([order])	Scalar method identical to ndarray.copy.
cumprod([axis, dtype, out])	Scalar method identical to ndarray.cumprod.
cumsum([axis, dtype, out])	Scalar method identical to ndarray.cumsum.
diagonal([offset, axis1, axis2])	Scalar method identical to ndarray.diagonal.
dump(file)	Scalar method identical to ndarray.dump.
dumps()	Scalar method identical to ndarray.dumps.
fill(value)	Scalar method identical to ndarray.fill.
flatten([order])	Scalar method identical to ndarray.flatten.
getfield(dtype[, offset])	Scalar method identical to ndarray.getfield.
item(*args)	Scalar method identical to ndarray.item.
max([axis, out])	Scalar method identical to ndarray.max.
mean([axis, dtype, out])	Scalar method identical to ndarray.mean.
min([axis, out])	Scalar method identical to ndarray.min.
nonzero()	Scalar method identical to ndarray.nonzero.
prod([axis, dtype, out])	Scalar method identical to ndarray.prod.
put(indices, values, /[, mode])	Scalar method identical to ndarray.put.
ravel([order])	Scalar method identical to ndarray.ravel.
repeat(repeats, /[, axis])	Scalar method identical to ndarray.repeat.
reshape(*shape[, order, copy])	Scalar method identical to ndarray.reshape.
resize(*new_shape[, refcheck])	Scalar method identical to ndarray.resize.
round([decimals, out])	Scalar method identical to ndarray.round.
searchsorted(v, /[, side, sorter])	Scalar method identical to ndarray.searchsorted.
setfield(val, /, dtype[, offset])	Scalar method identical to ndarray.setfield.
setflags(*[, write, align, uic])	Scalar method identical to ndarray.setflags.
sort([axis, kind, order, stable])	Scalar method identical to ndarray.sort.
squeeze([axis])	Scalar method identical to ndarray.squeeze.
std([axis, dtype, out, ddof])	Scalar method identical to ndarray.std.
sum([axis, dtype, out])	Scalar method identical to ndarray.sum.
swapaxes(axis1, axis2, /)	Scalar method identical to ndarray.swapaxes.
take(indices, /[, axis, out, mode])	Scalar method identical to ndarray.take.
to_device(device, /, *[, stream])	Scalar method identical to ndarray.to_device.
tobytes([order])	Scalar method identical to ndarray.tobytes.
tofile(fid, /[, sep, format])	Scalar method identical to ndarray.tofile.
tolist()	Scalar method identical to ndarray.tolist.
trace([offset, axis1, axis2, dtype, out])	Scalar method identical to ndarray.trace.
transpose(*axes)	Scalar method identical to ndarray.transpose.
var([axis, dtype, out, ddof])	Scalar method identical to ndarray.var.
view(*args, **kwargs)	Scalar method identical to ndarray.view.

Attributes

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.