# Changelog
This documents the main changes to the `candle` crate.

## v0.2.3 - Unreleased

### Added

### Modified

## v0.2.2 - 2023-09-18

### Added
- Support for `top_p` sampling
  [819](https://github.com/huggingface/candle/pull/819).
- T5 model including decoding
  [864](https://github.com/huggingface/candle/pull/864).
- 1-d upsampling
  [839](https://github.com/huggingface/candle/pull/839).

### Modified
- Bugfix for conv2d
  [820](https://github.com/huggingface/candle/pull/820).
- Support tensor based indexing using `.i`
  [842](https://github.com/huggingface/candle/pull/842).

## v0.2.1 - 2023-09-11

### Added
- Add some RNNs (GRU and LSTM) in `candle-nn`
  [674](https://github.com/huggingface/candle/pull/674),
  [688](https://github.com/huggingface/candle/pull/688).
- gguf v2 support
  [725](https://github.com/huggingface/candle/pull/725).
- Quantized llama example in Python using the pyo3 api
  [716](https://github.com/huggingface/candle/pull/716).
- `candle-nn` layer for conv2d-transposed
  [760](https://github.com/huggingface/candle/pull/760).
- Add the Segment-Anything Model (SAM) as an example
  [773](https://github.com/huggingface/candle/pull/773).
- TinyViT backbone for the segemnt anything example
  [787](https://github.com/huggingface/candle/pull/787).
- Shape with holes support
  [770](https://github.com/huggingface/candle/pull/770).

### Modified
- Dilations are now supported in conv-transpose2d.
  [671](https://github.com/huggingface/candle/pull/671).
- Interactive mode for the quantized model
  [690](https://github.com/huggingface/candle/pull/690).
- Faster softmax operation
  [747](https://github.com/huggingface/candle/pull/747).
- Faster convolution operations on CPU and CUDA via im2col
  [802](https://github.com/huggingface/candle/pull/802).
- Moving some models to a more central location
  [796](https://github.com/huggingface/candle/pull/796).

## v0.2.0 - 2023-08-30

### Added
- Add the powf op
  [664](https://github.com/huggingface/candle/pull/664).
- Stable Diffusion XL support
  [647](https://github.com/huggingface/candle/pull/647).
- Add the conv-transpose2d op
  [635](https://github.com/huggingface/candle/pull/635).
- Refactor the VarBuilder api
  [627](https://github.com/huggingface/candle/pull/627).
- Add some quantization command
  [625](https://github.com/huggingface/candle/pull/625).
- Support more quantized types, e.g. Q2K, Q4K, Q5K...
  [586](https://github.com/huggingface/candle/pull/586).
- Add pose estimation to the yolo example
  [589](https://github.com/huggingface/candle/pull/589).
- Api to write GGUF files
  [585](https://github.com/huggingface/candle/pull/585).
- Support more quantization types
  [580](https://github.com/huggingface/candle/pull/580).
- Add EfficientNet as an example Computer Vision model
  [572](https://github.com/huggingface/candle/pull/572).
- Add a group parameter to convolutions
  [566](https://github.com/huggingface/candle/pull/566).
- New dtype: int64
  [563](https://github.com/huggingface/candle/pull/563).
- Handling of the GGUF file format.
  [559](https://github.com/huggingface/candle/pull/559).

## v0.1.2 - 2023-08-21