Smart Tree - ST

//! Patch Embedding module for Vision Transformers. use crate::nn::Module; use crate::tensor::Tensor; /// A placeholder for a Vision Transformer (ViT) patch embedding layer. /// This module's purpose is to transform an image into a sequence of flattened patches, /// which can then be fed into a standard Transformer encoder. This is a key component /// for applying transformers to computer vision tasks. pub struct PatchEmbedding { // Parameters for patch embedding will go here. // e.g., patch_size, stride, projection matrix. } impl PatchEmbedding { #[allow(dead_code)] pub fn new() -> Self { println!("INFO: Initializing PatchEmbedding module (for future Vision Transformer use)."); Self {} } } impl Module for PatchEmbedding { fn forward(&self, _input: &Tensor) -> Tensor { // The actual implementation of creating patch embeddings from an image tensor. // 1. Reshape image into patches (e.g., from [Batch, Channels, Height, Width] to [Batch, NumPatches, PatchSize * PatchSize * Channels]). // 2. Linearly project flattened patches to the transformer's embedding dimension. unimplemented!("PatchEmbedding forward pass is not yet implemented."); } fn parameters(&self) -> Vec<Tensor> { vec![] } }