* Simple kernel generation
* Remove the generate kernel from graph_utils
* fix multi-output with compile
* fuse with stopgrad
* v1 input, output capture in compile
* cleanup tree update with visitor update
* nit
* remove todo
* state for model, optional explicit init and more pure optimizer steps
* move learning rate to state
* add lr to opt state, some fixes in capture
* fix optim
* update tuple of containers as well
* fix stream for compiled output
* rng state for compile
* nit
* updates and comments
---------
Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>
* CI update
* Skip large binary test for now
* Upgrade pip
* Add proper env variable skipping
* Update the CI
* Fix workflow name
* Set the low memory flag for the tests
* Change build process
* Add pip upgrade
* Use a venv
* Add a missing env activate
* Add setuptools
* Add twine upload back
* Re-enable automatic release builds
* Add `py.typed` to support PEP-561 (type-hinting)
This adds support for type-hinting information as laid in [PEP-561](https://peps.python.org/pep-0561/).
* add py.typed to MANIFEST.in
* Implement custom_vjp and checkpointing
* Add a dependency management primitive
* Change the eval order to deep branches first
* Add graph depth tracking to the array
* Implement diagonal operator
This implements mx.diagonal in operator level, inspired by
@ManishAradwad.
* added `mx.diag` with tests
* corrected few things
* nits in bindings
* updates to diag
---------
Co-authored-by: ManishAradwad <manisharadwad@gmail.com>
Co-authored-by: Awni Hannun <awni@apple.com>
* propagate nans in binary ops
* handle empty matmul
* cpu minimum/maximum propagate nan
* benchmark maximum
* add min as well
* throw on negative indices with full
* verbose on linux
* fix matmul for zero K
* buffer donation
* fix to move shared pointer
* format
* gpu in place for copy and binary
* revert ops test
* cpu in place
* a little cleanup
* remove useless bench
* fix tests for linux
* make a move on compile
* basic compile scaffold works
* compile binding
* clean
* fix
* fix grad, more tests
* basic python tests
* fix segfault on python exit
* compile works with python closures
* fix test
* fix python globals bug, and erase
* simplify
* more cpp tests
* bug fix with move function and compile at exit
* simplify inputs also
* enable and disable compiler
* remove simplify
* simplify tests use compile now
* fix multi-output with compile
* clear output tree from cache when function goes out of scope
* ../python/src/transforms.cpp
* remove closure capture
* comments
* Added adafactor
* Added Adafactor and ran pre-commit
* modified operations
* Added docstrings
* Switched two ops to fix a bug
* added underscore for internal functions and removed the plus sign in the last return statment
* Removed parameter rms from the optimizer state because its not needed
* Added simple MNIST test for Adafactor and temporary training log
* remove test files
* nits in docs
* comment nit
---------
Co-authored-by: Awni Hannun <awni@apple.com>
* Enable cross_entropy loss to handle dense targets
Dense targets means probabilities or one-hot encodings.
* better shape check of weights
* nits in docstring
---------
Co-authored-by: Awni Hannun <awni@apple.com>
