* Optimize Tensor::new when called on nested Vec<..>.
* Improve performance.
* Similar flattening for the 4d case.
* More tweaks.
* Add some dummy test.
* Support for (un)-batched rope.
* Use 3d rope in the rope/ropei/rope_thd functions.
* Get the CPU versions to work.
* Fix the cuda version.
* Adapt the metal side.
* Fix the metal tests.
* removed scale factor from computation and made quantized gemma3 work similarly to non-quantized gemma3
* created default consts, replaced is_sliding with Option holding a window_size
* gemma3: changed RotaryEmbedding base freq based on layer and sliding window
* Changed attention mask per layer, either normal or sliding
* made attention mask creation slightly more efficient by only creating them once per model iteration
* changed is_sliding to an Option
* clippy
* changed to stop on both <eos> and <end_of_turn> instead of either or
* Add the const-set op.
* Cuda implementation.
* Bugfix.
* Metal cleanup.
* Add the metal kernels.
* Add some testing.
* Finish the metal implementation.
* Bump the version.
* implemented quantized-gemma, inference not working
* Fixed a few modeling bugs: outputing the correct tokens for a few iterations then garbage
* lint
* clippy
* quantized-gemma3 example working
* added readme
* clippy
* added CONTRIBUTING.md to candle-book
* added description to candle-book introduction
* Updated formatting and added different features to candle-book installation
* mnist guide first draft candle-book
* updated mnist guide syntax and grammar for candle-book
* changed HelloWorld - Mnist to Tutorial - Mnist in SUMMARY.md
* updated intro to mnist guide in candle-book
* Initial commit: model weights working, prediciton incorrect
* moved distilbertformaskedlm into distilbert modeling file
* made maskedLM like bert example, still incorrect predictions
* finally not getting NaNs, fixed attention mask
* getting correct output sentences
* get top k predictions
* fixed output formatting slightly
* added default arg for model_id
* lint
* moved masked token example code from distilbertformaskedlm example to distilbert example
* lint
* removed distilbertformaskedlm example
* cleanup
* clippy
* removed embedding normalization from example
* made output and model dependent on args instead of prompt
* lint
* replaced or_ok anyhow error with anyhow context
* changed error message for mask token not found
* Add the SNAC audio tokenizer.
* More snac.
* Again more snac.
* Add some example code for snac.
* Get the weights to load.
* Add to the snac model.
* Fixes.
* Get round-tripping to work.
* Save/load code files.
* Clippy fix.
* Fmt fix.
* Add the CSM model.
* Add some code to load the model.
* Load the text tokenizer.
* Add frame generation.
* Get the sampling to work.
* Rope fix.
* Autoregressive generation.
* Generate some audio file.
* Use the actual prompt.
* Support multiple turns.
* Add a very barebone readme.
* Move some of the shared bits to the model.
* added chatGLM readme
* changed wording in readme
* added readme for chinese-clip
* added readme for convmixer
* added readme for custom ops
* added readme for efficientnet
* added readme for llama
* added readme to mnist-training
* added readme to musicgen
* added readme to quantized-phi
* added readme to starcoder2
* added readme to whisper-microphone
* added readme to yi
* added readme to yolo-v3
* added readme to whisper-microphone
* added space to example in glm4 readme
* fixed mamba example readme to run mamba instead of mamba-minimal
* removed slash escape character
* changed moondream image to yolo-v8 example image
* added procedure for making the reinforcement-learning example work with a virtual environment on my machine
* added simple one line summaries to the example readmes without
* changed non-existant image to yolo example's bike.jpg
* added backslash to sam command
* removed trailing - from siglip
* added SoX to silero-vad example readme
* replaced procedure for uv on mac with warning that uv isn't currently compatible with pyo3
* added example to falcon readme
* added --which arg to stella-en-v5 readme
* fixed image path in vgg readme
* fixed the image path in the vit readme
* Update README.md
* Update README.md
* Update README.md
---------
Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>
* Start updating to cudarc 0.14.
* Adapt a couple more things.
* And a couple more fixes.
* More tweaks.
* And a couple more fixes.
* Bump the major version number.
* Proper module system for the cuda kernels.
* Proper ptx loading.
* Launch the sort kernel.
* Custom op.
* Start using the builder pattern.
* More builder.
* More builder.
* Get candle-core to compile.
* Get the tests to pass.
* Get candle-nn to work too.
* Support for custom cuda functions.
* cudnn fixes.
* Get flash attn to run.
* Switch the crate versions to be alpha.
* Bump the ug dependency.
* added new language pairs to marian-mt
* lint
* seperated python code for converting tokenizers into its own file and and added a reqirements.txt for dependencies, updated instructions in readme and included python version
* Cleanup.
---------
Co-authored-by: Laurent <laurent.mazare@gmail.com>
