jax.numpy.ufunc#
- class jax.numpy.ufunc(func, /, nin, nout, *, name=None, nargs=None, identity=None, update_doc=False)#
Functions that operate element-by-element on whole arrays.
This is a class for LAX-backed implementations of numpy ufuncs.
- Parameters:
func (Callable[…, Any])
nin (int)
nout (int)
name (str | None)
nargs (int | None)
identity (Any)
- __init__(func, /, nin, nout, *, name=None, nargs=None, identity=None, update_doc=False)[source]#
- Parameters:
func (Callable[…, Any])
nin (int)
nout (int)
name (str | None)
nargs (int | None)
identity (Any)
Methods
__init__(func, /, nin, nout, *[, name, ...])- param func:
accumulate(a[, axis, dtype, out])Accumulate the result of applying the operator to all elements.
at(a, indices[, b, inplace])Performs unbuffered in place operation on operand 'a' for elements
outer(A, B, /, **kwargs)Apply the ufunc op to all pairs (a, b) with a in A and b in B.
reduce(a[, axis, dtype, out, keepdims, ...])Reduces array's dimension by one, by applying ufunc along one axis.
reduceat(a, indices[, axis, dtype, out])Performs a (local) reduce with specified slices over a single axis.
Attributes
identitynargsninnout