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Repeat-penalty in the falcon example. (#634)
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@ -22,6 +22,8 @@ struct TextGeneration {
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device: Device,
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tokenizer: Tokenizer,
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logits_processor: LogitsProcessor,
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repeat_penalty: f32,
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repeat_last_n: usize,
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}
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impl TextGeneration {
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@ -31,6 +33,8 @@ impl TextGeneration {
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seed: u64,
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temp: Option<f64>,
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device: &Device,
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repeat_penalty: f32,
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repeat_last_n: usize,
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) -> Self {
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let logits_processor = LogitsProcessor::new(seed, temp);
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Self {
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@ -38,6 +42,8 @@ impl TextGeneration {
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tokenizer,
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logits_processor,
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device: device.clone(),
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repeat_penalty,
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repeat_last_n,
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}
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}
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@ -63,6 +69,16 @@ impl TextGeneration {
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let input = Tensor::new(ctxt, &self.device)?.unsqueeze(0)?;
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let logits = self.model.forward(&input)?;
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let logits = logits.squeeze(0)?.to_dtype(DType::F32)?;
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let logits = if self.repeat_penalty == 1. {
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logits
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} else {
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let start_at = tokens.len().saturating_sub(self.repeat_last_n);
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candle_transformers::utils::apply_repeat_penalty(
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&logits,
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self.repeat_penalty,
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&tokens[start_at..],
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)?
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};
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let next_token = self.logits_processor.sample(&logits)?;
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tokens.push(next_token);
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@ -116,6 +132,14 @@ struct Args {
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#[arg(long, default_value = "refs/pr/43")]
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revision: String,
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/// Penalty to be applied for repeating tokens, 1. means no penalty.
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#[arg(long, default_value_t = 1.0)]
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repeat_penalty: f32,
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/// The context size to consider for the repeat penalty.
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#[arg(long, default_value_t = 64)]
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repeat_last_n: usize,
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}
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fn main() -> Result<()> {
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@ -162,7 +186,15 @@ fn main() -> Result<()> {
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let model = Falcon::load(vb, config)?;
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println!("loaded the model in {:?}", start.elapsed());
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let mut pipeline = TextGeneration::new(model, tokenizer, args.seed, args.temperature, &device);
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let mut pipeline = TextGeneration::new(
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model,
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tokenizer,
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args.seed,
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args.temperature,
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&device,
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args.repeat_penalty,
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args.repeat_last_n,
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);
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pipeline.run(&args.prompt, args.sample_len)?;
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Ok(())
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}
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