add_op

→TensorImplPtr

int add_op(const int & a, const int & b)

Public entry point — element-wise addition with autograd support.

Math

$y = a + b$

See Also

sub_op, mul_op, div_op

a, bconst TensorImplPtr&

Operands of any rank. Shapes must be NumPy-broadcast-compatible.

TensorImplPtr

Output tensor of shape broadcast_shapes(a.shape, b.shape) and promoted dtype. Participates in autograd via AddBackward.

LucidError

If a and b have incompatible shapes under NumPy broadcasting rules, or if their devices differ.

>>> auto c = add_op(a, b);    // c = a + b, same as a + b in Python