* Add fast affine dequantize
* add full quantize kernel
* fused kernel with scale/bias computation
* fix docstring
* fix no jit error
* fix test
* test fix
* reduce fast api to only affine_quantize
* initial attempt, working with wrong types
* not compiling; mx.float16 and mx.bfloat16 tests added
* fix nan to num
* nit
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Co-authored-by: Awni Hannun <awni@apple.com>
* Working hadamard for powers of 2
* working for m*2^k
* add scale and check contiguity
* add size check
* clean up
* fix test
* add grads + vmap
* gpu only
* skip on linux
* test typo
* add cpu impl
* remove gpu only tests
* fix linux build + add is_equivalent
* Added groups to 2-D convolutions. Only implemented for **some** specializations.
Also fixed 1D grouped convs with different kernel strides and added more tests.
* fix channels condition
* std and expm1
* actually add expm1
* fix linux
* fix vjp
* relax tol for linux test
* Add it to the compilable primitives
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Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>
When compositing transforms lots of temporary of arrays will be created
and passed to next primitive, and by making ops accepting args by value
we can avoid lots of copies of temporary arrays.
* add numeric type hierarchy and issubdtype as well as a set_dtype method to nn.Module with predicate
numeric type hierarchy and issubtype is compatible to the [numpy hierarchy](220f0ab2c5/numpy/_core/numerictypes.py (L42)).
Closes#285.
* nits in docs
* unify type category checking
* nits in docs
* nits in docs
* more docs nits
* fix callable type
---------
Co-authored-by: Awni Hannun <awni@apple.com>
* some small overhead improvements
* use result_type in rms_norm
* remove release force
* fix + use non-vector version
* revert compile change
* fix ops
* a little more overhead
* a little more cleanup and overhead
1. Move shapes into outputs instead of copying them.
2. Pass primitive by const ref as it is always copied into outputs, which
removes a copy when calling make_array.
* Update mlx_set_item to handle regular slices without expanding
* Refactor ellipsis handling
* Route mlx_set_item to slice_update where possible
* Update mlx_scatter_args_slice
* Don't route to gather if no array indices
* Enable copy to work with int64 strides
* Fix uniform buffer indices or copy kernel arguments
* Update utils.h
* Remove manual unrolling of elem to loc loop
* GPU copy updated to handle negative strides
* Add slice update primitive
* Enable collapsing batch dims in gemm
* Update gemm to only make copies when neither of the last 2 axes are contiguous
* Update addmm to support gemv shapes
* Update addmm to support irregular batch strides
* Update tests
* Fix case for step=inf in arange and add inf check for start/stop
* Add test cases for arange
* Update ops.cpp to include climits header
* Fix arange
* Fix formatting
* Refactor
* Add missing include
* 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
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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
* Organize and collect metal subroutine templates and elements in `metal/kernels/steel/`
* Update gemm elements for better performance
* Add split-K specialization for gemm
* Add `addmm` primitive, op and bindings for fused matmul and bias addition
* Update tests and benchmarks as needed
* Allow arbitrary first dim on qmm_t and qmv
* Allow arbitrary first dim on qmm and qvm
* Specialized aligned vs unaligned case
* Add more checks for valid quantizations
* feat: add logicalAnd and logicalOR
* run pre-commit
* Refactor logical_and and logical_or functions
* Add acknowledgement
* Add logical AND and logical OR operators
* Refactor logical_and and logical_or functions
* Add support for logical operators on bool arrays
* Update mlx/ops.cpp
Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
* Update mlx/ops.cpp
Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
* Add logical AND and OR operators for arrays and scalars
* Refactor vjp and jvp methods in primitives.cpp
* Add overloaded operators for logical AND and OR
* format
---------
Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
Co-authored-by: Awni Hannun <awni@apple.com>
* inner / outer impl
* python tests
* ops list and ack
* updated descriptions
* use test helper
* removed dtype check and flatten outer to 1-D
* updated docs
* just use the reshape to flatten
* support python mlx.array creation from list of mlx.array's
* include bfloat16 in UT
* refactor so that sub array made of all python primitive types gets initialized by fill_vector
* address PR comment: arr.shape().size() -> arr.ndim()
* address PR comment: get back Dtype constness and let stack to handle type promotions automatically
