Encodec model. (#1771)

* Encodec model.

* Fixes.

* Add the padding functions.

* Get the LSTM bit to work.

* Get the encodec model to generate some tokens (decoder only for now).

* Minor tweak.

* Minor tweak.
This commit is contained in:
Laurent Mazare
2024-02-27 22:59:40 +01:00
committed by GitHub
parent 205767f9de
commit 0c49e95dfb
7 changed files with 834 additions and 1 deletions

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@ -0,0 +1,57 @@
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::Result;
use candle::{DType, IndexOp};
use candle_nn::VarBuilder;
use candle_transformers::models::encodec::{Config, Model};
use clap::Parser;
use hf_hub::api::sync::Api;
#[derive(Parser, Debug)]
#[command(author, version, about, long_about = None)]
struct Args {
/// Run on CPU rather than on GPU.
#[arg(long)]
cpu: bool,
/// The model weight file, in safetensor format.
#[arg(long)]
model: Option<String>,
/// Input file as a safetensors containing the encodec tokens.
#[arg(long)]
code_file: String,
/// Output file that will be generated in wav format.
#[arg(long)]
out: String,
}
fn main() -> Result<()> {
let args = Args::parse();
let device = candle_examples::device(args.cpu)?;
let model = match args.model {
Some(model) => std::path::PathBuf::from(model),
None => Api::new()?
.model("facebook/encodec_24khz".to_string())
.get("model.safetensors")?,
};
let vb = unsafe { VarBuilder::from_mmaped_safetensors(&[model], DType::F32, &device)? };
let config = Config::default();
let model = Model::new(&config, vb)?;
let codes = candle::safetensors::load(args.code_file, &device)?;
let codes = codes.get("codes").expect("no codes in input file").i(0)?;
println!("codes shape: {:?}", codes.shape());
let pcm = model.decode(&codes)?;
let pcm = pcm.i(0)?.i(0)?.to_vec1::<f32>()?;
let mut output = std::fs::File::create(&args.out)?;
candle_examples::wav::write_pcm_as_wav(&mut output, &pcm, 24_000)?;
Ok(())
}

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@ -1,6 +1,7 @@
pub mod coco_classes;
pub mod imagenet;
pub mod token_output_stream;
pub mod wav;
use candle::utils::{cuda_is_available, metal_is_available};
use candle::{Device, Result, Tensor};

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use std::io::prelude::*;
pub trait Sample {
fn to_i16(&self) -> i16;
}
impl Sample for f32 {
fn to_i16(&self) -> i16 {
(self.clamp(-1.0, 1.0) * 32767.0) as i16
}
}
impl Sample for f64 {
fn to_i16(&self) -> i16 {
(self.clamp(-1.0, 1.0) * 32767.0) as i16
}
}
impl Sample for i16 {
fn to_i16(&self) -> i16 {
*self
}
}
pub fn write_pcm_as_wav<W: Write, S: Sample>(
w: &mut W,
samples: &[S],
sample_rate: u32,
) -> std::io::Result<()> {
let len = 12u32; // header
let len = len + 24u32; // fmt
let len = len + samples.len() as u32 * 2 + 8; // data
let n_channels = 1u16;
let bytes_per_second = sample_rate * 2 * n_channels as u32;
w.write_all(b"RIFF")?;
w.write_all(&(len - 8).to_le_bytes())?; // total length minus 8 bytes
w.write_all(b"WAVE")?;
// Format block
w.write_all(b"fmt ")?;
w.write_all(&16u32.to_le_bytes())?; // block len minus 8 bytes
w.write_all(&1u16.to_le_bytes())?; // PCM
w.write_all(&n_channels.to_le_bytes())?; // one channel
w.write_all(&sample_rate.to_le_bytes())?;
w.write_all(&bytes_per_second.to_le_bytes())?;
w.write_all(&2u16.to_le_bytes())?; // 2 bytes of data per sample
w.write_all(&16u16.to_le_bytes())?; // bits per sample
// Data block
w.write_all(b"data")?;
w.write_all(&(samples.len() as u32 * 2).to_le_bytes())?;
for sample in samples.iter() {
w.write_all(&sample.to_i16().to_le_bytes())?
}
Ok(())
}