A sub-layer in a neural network processes an input tensor using a specific architectural pattern. The process involves three key operations: 1) applying the sub-layer's primary function (e.g., self-attention), 2) applying a normalization function, and 3) adding the original input tensor to the result of the primary function (a residual connection). Arrange these three operations in the correct sequence that corresponds to the formula: output = LNorm(F(input) + input).

Analyzing a Sub-Layer Implementation

A developer is implementing a sub-layer (e.g., self-attention) within a Transformer block. They need to apply the sub-layer's function F, a residual connection (adding the original input), and a layer normalization LNorm operation. Which of the following expressions correctly represents the post-norm architectural pattern?