* Add ability to override the compiler used by NVCC from an environment variable
* Allow relative paths in CANDLE_FLASH_ATTN_BUILD_DIR
* Add the compilation failure to the readme, with a possible solution
* Adjust the error message, and remove the special handling of the relative paths
* Start processing images.
* Add LayerNorm2d.
* Properly use LayerNorm2d.
* Tweak eps.
* Use LayerNorm on inputs with a rank different from 3.
* Window partitioning.
* Fix a couple todos.
* More todos.
* Hard-code the einsums.
* More padding support.
* Some sizes tweaks.
* Use the hub to get the weights.
* Use a batch matmul.
* Tweaks.
* More fixes.
* Get some predictions to be generated.
* More segment-anything again.
* Transformer block forward.
* Two-ways transformer.
* Position embeddings.
* Sketch the prompt encoder.
* More prompt-encoder.
* More prompt-encoder.
* Add the main sam module.
* Embed the transformer.
* And hook the transformer forward step.
* Build the model.
* Handle the global attn indexes.
* Get the model to load.
* img2img pipeline for stable diffusion.
* Rename the arguments + fix.
* Fix for zero strength.
* Another fix.
* Another fix.
* Revert.
* Include the backtrace.
* Noise scaling.
* Fix the height/width.
* Add a custom softmax implementation.
* Add softmaxlastdim to the benchmarks.
* And add a test.
* Support more dtypes.
* Polish the code.
* Use the slow implementation on cuda.
* Add a todo for the cuda kernel.
* Sketch a quantized llama using the pyo3 api.
* Add more ops.
* Expose a few more functions to use in the quantized model.
* Rope embeddings.
* Get the forward pass to work.
* Add more pyo3 support.
* Add some support for quantized tensors in pyo3.
* Add an arc layer on qmatmul.
* Add the quantized matmul.
* Quantization support.
* More quantization support.
* Test the python quantization.
