all_op

→TensorImplPtr

int all_op(const int & a)

source edit

Python wrappers

pylucid.ops.allfunction

Full-tensor boolean AND-reduction — returns a scalar Bool tensor that is True iff every element of a is non-zero.

Not differentiable: predicate output is detached.

Math

$y = \bigwedge_i (x_i \ne 0)$

Shape

Output is a 0-D scalar; input may have any shape.

See Also

any_op.

Parameters

aTensorImplPtr

Input tensor of any dtype. Floating-point 0.0 counts as False; NaN counts as True.

Returns

TensorImplPtr

Zero-dimensional Dtype::Bool tensor. Shape is {}.

Notes

Reduction is over the flattened tensor. An empty tensor returns True (vacuous truth) — call sites should special-case zero numel if a different convention is needed.