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src/model/clip/load.rs

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+use std::error::Error;
+use burn::tensor::ElementConversion;
+
+use burn::{
+    config::Config, 
+    module::{Module, Param},
+    nn,
+    tensor::{
+        backend::Backend,
+        Tensor,
+    },
+};
+
+use super::*;
+use crate::model::load::*;
+
+pub fn load_mlp<B: Backend>(path: &str, device: &B::Device) -> Result<MLP<B>, Box<dyn Error>> {
+    let fc1 = load_linear(&format!("{}/{}", path, "fc1"), device)?;
+    let gelu = QuickGELU::new();
+    let fc2 = load_linear(&format!("{}/{}", path, "fc2"), device)?;
+
+    let mlp = MLP {
+        fc1: fc1,
+        gelu: gelu,
+        fc2: fc2,
+    };
+
+    Ok(mlp)
+}
+
+pub fn load_multi_head_self_attention<B: Backend>(path: &str, device: &B::Device) -> Result<MultiHeadSelfAttention<B>, Box<dyn Error>> {
+    let n_head = load_usize::<B>("n_head", path, device)?;
+    let query = load_linear(&format!("{}/{}", path, "query"), device)?;
+    let key = load_linear(&format!("{}/{}", path, "key"), device)?;
+    let value = load_linear(&format!("{}/{}", path, "value"), device)?;
+    let out = load_linear(&format!("{}/{}", path, "out"), device)?;
+
+    let mhsa = MultiHeadSelfAttention {
+        n_head: n_head,
+        query: query,
+        key: key,
+        value: value,
+        out: out,
+    };
+
+    Ok(mhsa)
+}
+
+pub fn load_residual_decoder_attention_block<B: Backend>(path: &str, device: &B::Device) -> Result<ResidualDecoderAttentionBlock<B>, Box<dyn Error>> {
+    let mlp = load_mlp(&format!("{}/{}", path, "mlp"), device)?;
+    let attn = load_multi_head_self_attention(&format!("{}/{}", path, "attn"), device)?;
+    let attn_ln = load_layer_norm(&format!("{}/{}", path, "attn_ln"), device)?;
+    let mlp_ln = load_layer_norm(&format!("{}/{}", path, "mlp_ln"), device)?;
+
+    let rdab = ResidualDecoderAttentionBlock {
+        attn: attn,
+        attn_ln: attn_ln,
+        mlp: mlp,
+        mlp_ln: mlp_ln,
+    };
+
+    Ok(rdab)
+}
+
+pub fn load_clip<B: Backend>(path: &str, device: &B::Device) -> Result<CLIP<B>, Box<dyn Error>> {
+    let token_embedding = load_embedding(&format!("{}/{}", path, "token_embedding"), device)?;
+    let position_embedding = load_tensor("weight", &format!("{}/position_embedding", path), device)?.into();
+
+    let n_layer = load_usize::<B>("n_layer", path, device)?;
+    let mut blocks = (0..n_layer)
+        .into_iter()
+        .map(|i| {
+            load_residual_decoder_attention_block::<B>(&format!("{}/blocks/{}", path, i), device)
+        }).collect::<Result<Vec<_>, _>>()?;
+    
+    let layer_norm = load_layer_norm(&format!("{}/{}", path, "layer_norm"), device)?;
+
+    let clip = CLIP {
+        token_embedding: token_embedding,
+        position_embedding: position_embedding,
+        blocks: blocks,
+        layer_norm: layer_norm,
+    };
+    
+    Ok(clip)
+}