Add support for MADLAD400 (#1285)

* Add support for madlad

* Add support for quantized MADLAD

candle-examples/examples/quantized-t5/main.rs

@@ -173,7 +173,11 @@ fn main() -> Result<()> {
         .to_vec();
     let input_token_ids = Tensor::new(&tokens[..], device)?.unsqueeze(0)?;
     let mut model = builder.build_model()?;
-    let mut output_token_ids = [builder.config.pad_token_id as u32].to_vec();
+    let mut output_token_ids = [builder
+        .config
+        .decoder_start_token_id
+        .unwrap_or(builder.config.pad_token_id) as u32]
+    .to_vec();
     let temperature = if args.temperature <= 0. {
         None
     } else {

candle-examples/examples/t5/main.rs

@@ -172,7 +172,12 @@ fn main() -> Result<()> {
                 println!("Took {:?}", start.elapsed());
             } else {
                 let mut model = builder.build_conditional_generation()?;
-                let mut output_token_ids = [builder.config.pad_token_id as u32].to_vec();
+                let mut output_token_ids = [builder
+                    .config
+                    .decoder_start_token_id
+                    .unwrap_or(builder.config.pad_token_id)
+                    as u32]
+                .to_vec();
                 if let Some(decoder_prompt) = &args.decoder_prompt {
                     print!("{decoder_prompt}");
                     output_token_ids.extend(

candle-transformers/src/models/quantized_t5.rs

@@ -65,6 +65,7 @@ pub struct Config {
     pub use_cache: bool,
     pub pad_token_id: usize,
     pub eos_token_id: usize,
+    pub decoder_start_token_id: Option<usize>,
 }
 
 impl Default for Config {
@@ -89,6 +90,7 @@ impl Default for Config {
             use_cache: true,
             pad_token_id: 0,
             eos_token_id: 1,
+            decoder_start_token_id: Some(0),
         }
     }
 }
@@ -642,7 +644,12 @@ pub struct T5EncoderModel {
 
 impl T5EncoderModel {
     pub fn load(vb: VarBuilder, cfg: &Config) -> Result<Self> {
-        let shared = Embedding::new(cfg.vocab_size, cfg.d_model, vb.pp("shared"))?;
+        let shared_vb = if vb.contains_key("shared") {
+            vb.pp("shared")
+        } else {
+            vb.pp("decoder").pp("embed_tokens")
+        };
+        let shared = Embedding::new(cfg.vocab_size, cfg.d_model, shared_vb)?;
         let shared = Arc::new(shared);
         let encoder = T5Stack::load(false, vb.pp("encoder"), &shared, cfg)?;
         Ok(Self {
@@ -683,7 +690,12 @@ impl T5ForConditionalGeneration {
     pub fn load(vb: VarBuilder, cfg: &Config) -> Result<Self> {
         assert!(cfg.is_encoder_decoder);
         let d_model = cfg.d_model;
-        let shared = Embedding::new(cfg.vocab_size, cfg.d_model, vb.pp("shared"))?;
+        let shared_vb = if vb.contains_key("shared") {
+            vb.pp("shared")
+        } else {
+            vb.pp("decoder").pp("embed_tokens")
+        };
+        let shared = Embedding::new(cfg.vocab_size, cfg.d_model, shared_vb)?;
         let shared = Arc::new(shared);
 
         let mut encoder_cfg = cfg.clone();

candle-transformers/src/models/t5.rs

@@ -63,6 +63,7 @@ pub struct Config {
     pub use_cache: bool,
     pub pad_token_id: usize,
     pub eos_token_id: usize,
+    pub decoder_start_token_id: Option<usize>,
 }
 
 impl Default for Config {
@@ -87,6 +88,7 @@ impl Default for Config {
             use_cache: true,
             pad_token_id: 0,
             eos_token_id: 1,
+            decoder_start_token_id: Some(0),
         }
     }
 }
@@ -110,6 +112,7 @@ impl Config {
             num_heads: 12,
             num_layers: 12,
             pad_token_id: 0,
+            decoder_start_token_id: Some(0),
             relative_attention_max_distance: 128,
             relative_attention_num_buckets: 32,
             use_cache: true,
@@ -667,7 +670,12 @@ pub struct T5EncoderModel {
 
 impl T5EncoderModel {
     pub fn load(vb: VarBuilder, cfg: &Config) -> Result<Self> {
-        let shared = Embedding::new(cfg.vocab_size, cfg.d_model, vb.pp("shared"))?;
+        let shared_vb = if vb.contains_tensor("shared") {
+            vb.pp("shared")
+        } else {
+            vb.pp("decoder").pp("embed_tokens")
+        };
+        let shared = Embedding::new(cfg.vocab_size, cfg.d_model, shared_vb)?;
         let shared = Arc::new(shared);
         let encoder = T5Stack::load(false, vb.pp("encoder"), &shared, cfg)?;
         Ok(Self {
@@ -708,7 +716,12 @@ impl T5ForConditionalGeneration {
     pub fn load(vb: VarBuilder, cfg: &Config) -> Result<Self> {
         assert!(cfg.is_encoder_decoder);
         let d_model = cfg.d_model;
-        let shared = Embedding::new(cfg.vocab_size, cfg.d_model, vb.pp("shared"))?;
+        let shared_vb = if vb.contains_tensor("shared") {
+            vb.pp("shared")
+        } else {
+            vb.pp("decoder").pp("embed_tokens")
+        };
+        let shared = Embedding::new(cfg.vocab_size, cfg.d_model, shared_vb)?;
         let shared = Arc::new(shared);
 
         let mut encoder_cfg = cfg.clone();

candle-transformers/src/quantized_var_builder.rs

@@ -90,4 +90,8 @@ impl VarBuilder {
     pub fn device(&self) -> &Device {
         &self.device
     }
+
+    pub fn contains_key(&self, key: &str) -> bool {
+        self.data.contains_key(key)
+    }
 }