Replicate the sot-token logic from the Python implementation more acc… (#491)

* Replicate the sot-token logic from the Python implementation more accurately.

* Add a flag to control the timestamp mode.

candle-examples/examples/whisper/main.rs

@@ -41,6 +41,8 @@ const COMPRESSION_RATIO_THRESHOLD: f64 = 2.4;
 // Tokenizer dependent bits.
 const SOT_TOKEN: &str = "<|startoftranscript|>";
 const TRANSCRIBE_TOKEN: &str = "<|transcribe|>";
+const TRANSLATE_TOKEN: &str = "<|translate|>";
+const NO_TIMESTAMPS_TOKEN: &str = "<|notimestamps|>";
 const EOT_TOKEN: &str = "<|endoftext|>";
 const NO_SPEECH_TOKEN: &str = "<|nocaptions|>";
 
@@ -66,12 +68,16 @@ struct Segment {
 struct Decoder {
     model: Whisper,
     rng: rand::rngs::StdRng,
+    task: Option<Task>,
+    timestamps: bool,
     tokenizer: Tokenizer,
     suppress_tokens: Tensor,
     sot_token: u32,
     transcribe_token: u32,
+    translate_token: u32,
     eot_token: u32,
     no_speech_token: u32,
+    no_timestamps_token: u32,
     language_token: Option<u32>,
 }
 
@@ -82,6 +88,8 @@ impl Decoder {
         seed: u64,
         device: &Device,
         language_token: Option<u32>,
+        task: Option<Task>,
+        timestamps: bool,
     ) -> Result<Self> {
         let suppress_tokens: Vec<f32> = (0..model.config.vocab_size as u32)
             .map(|i| {
@@ -95,18 +103,24 @@ impl Decoder {
         let suppress_tokens = Tensor::new(suppress_tokens.as_slice(), device)?;
         let sot_token = token_id(&tokenizer, SOT_TOKEN)?;
         let transcribe_token = token_id(&tokenizer, TRANSCRIBE_TOKEN)?;
+        let translate_token = token_id(&tokenizer, TRANSLATE_TOKEN)?;
+        let no_timestamps_token = token_id(&tokenizer, NO_TIMESTAMPS_TOKEN)?;
         let eot_token = token_id(&tokenizer, EOT_TOKEN)?;
         let no_speech_token = token_id(&tokenizer, NO_SPEECH_TOKEN)?;
         Ok(Self {
             model,
             rng: rand::rngs::StdRng::seed_from_u64(seed),
             tokenizer,
+            task,
+            timestamps,
             suppress_tokens,
             sot_token,
             transcribe_token,
+            translate_token,
             eot_token,
             no_speech_token,
             language_token,
+            no_timestamps_token,
         })
     }
 
@@ -118,10 +132,19 @@ impl Decoder {
         let mut sum_logprob = 0f64;
         let mut no_speech_prob = f64::NAN;
         let mut tokens = vec![self.sot_token];
-        if let Some(language_token) = self.language_token {
-            tokens.push(language_token)
+        match self.task {
+            Some(Task::Transcribe) => tokens.push(self.transcribe_token),
+            Some(Task::Translate) => tokens.push(self.translate_token),
+            None => {
+                // Nothing in this case, same as the Python implementation.
+            }
+        }
+        if let Some(language_token) = self.language_token {
+            tokens.push(language_token);
+        }
+        if !self.timestamps {
+            tokens.push(self.no_timestamps_token);
         }
-        tokens.push(self.transcribe_token);
         for i in 0..sample_len {
             let tokens_t = Tensor::new(tokens.as_slice(), mel.device())?;
 
@@ -240,6 +263,12 @@ pub fn token_id(tokenizer: &Tokenizer, token: &str) -> candle::Result<u32> {
     }
 }
 
+#[derive(Clone, Copy, Debug, ValueEnum)]
+enum Task {
+    Transcribe,
+    Translate,
+}
+
 #[derive(Clone, Copy, Debug, ValueEnum)]
 enum WhichModel {
     Tiny,
@@ -313,6 +342,15 @@ struct Args {
     /// Language.
     #[arg(long)]
     language: Option<String>,
+
+    /// Task, when no task is specified, the input tokens contain only the sot token which can
+    /// improve things when in no-timestamp mode.
+    #[arg(long)]
+    task: Option<Task>,
+
+    /// Timestamps mode, this is not fully implemented yet.
+    #[arg(long)]
+    timestamps: bool,
 }
 
 fn main() -> Result<()> {
@@ -414,7 +452,15 @@ fn main() -> Result<()> {
             anyhow::bail!("a language cannot be set for non-multilingual models")
         }
     };
-    let mut dc = Decoder::new(model, tokenizer, args.seed, &device, language_token)?;
+    let mut dc = Decoder::new(
+        model,
+        tokenizer,
+        args.seed,
+        &device,
+        language_token,
+        args.task,
+        args.timestamps,
+    )?;
     dc.run(&mel)?;
     Ok(())
 }