add

Elementwise sum of two tensors with identical shapes.

Category: arithmetic · Identity: add@1

Shape

a[B, ...], b[B, ...] -> out[B, ...]

Port	Direction	Pattern	dtype
a	input	a[B, ...]	compute
b	input	b[B, ...]	compute
out	output	out[B, ...]	compute

Arguments

This operator takes no scalar arguments.

Description

out = a + b with no broadcasting; shapes, dtype, and batch must match exactly. Both tensor inputs must be supplied explicitly.

Examples

Example 1

A residual connection: both inputs are explicit.

saved = x
linear(8, name="branch")
relu()
h = linear(4)
add(h, saved)

Input ['B', 4] → output ['B', 4].

Network: [B, 4] -> [B, 4]  dtype=float32
index  name    operation  input shapes        output shapes
0      branch  linear     x=[B, 4]            out=[B, 8]
1      n1      relu       x=[B, 8]            out=[B, 8]
2      n2      linear     x=[B, 8]            out=[B, 4]
3      n3      add        a=[B, 4], b=[B, 4]  out=[B, 4]

Parameters: 76