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35 Commits

Author SHA1 Message Date
Rifur13
c4a471c99d Add groups to Conv1d (#948) 
* Add conv1d grouped convs on CPU

* Add GPU support

* Parallelize inside metal kernel

* clenaup

* Update mlx/ops.cpp

Co-authored-by: Awni Hannun <awni.hannun@gmail.com>

* New unfold kernel + remove unused code

* Remove copy and refactor

* Update vjp and reuse steel gemm

* Fixed groups on cpu

* Fix metal validation

---------

Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
 2024-04-27 06:24:57 -07:00
Alex Barron
2e7c02d5cd Metal FFT for powers of 2 up to 2048 (#915) 
* add Metal FFT for powers of 2

* skip GPU test on linux

* fix contiguity bug

* address comments

* Update mlx/backend/metal/fft.cpp

* Update mlx/backend/metal/fft.cpp

* fix bug in synch

---------

Co-authored-by: Alex Barron <abarron22@apple.com>
Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
Co-authored-by: Awni Hannun <awni@apple.com>
 2024-04-11 21:40:06 -07:00
Nripesh Niketan
ffff671273 Update pre-commit hooks (#984) 2024-04-11 07:27:53 -07:00
Cheng
913b19329c Add missing && when forwarding args (#925) 
Without the && args would be copied and perfect forwarding won't work.
 2024-03-29 06:48:29 -07:00
Angelos Katharopoulos
29221fa238 Implement vjps for some primitives in the fast namespace (#883) 
* Implement rope vjp in terms of rope
* RMSNormVJP primitive and kernel
* Add LayerNormVJP primitive and kernel
 2024-03-26 16:35:34 -07:00
Angelos Katharopoulos
6ee1112f30 Fix copy donation and add partial rope (#881) 2024-03-22 17:28:26 -07:00
Jagrit Digani
6686e61ca4 Reduce update (#783) 
* Split reduction files to reduce compile times

* Add small and medium axis size specializations for row reductions

* Add non-row-reduction options for small and med kernels
 2024-03-04 19:09:51 -08:00
Jagrit Digani
776c3d226d Convolution update (#651) 
* Init steel conv and update Conv primitive

* Update slow CPU implementation to support flipping and input dilation winograd conv routing

Co-authored-by: Awni Hannun <awni@apple.com>
 2024-02-28 20:11:16 -08:00
Rifur13
126c9869c8 Implement the 'where' primitive for conditional selection (#664) 2024-02-22 15:10:48 -08:00
Vijay Krish
972d9a3aea Up to 10x faster scatter. (#709) 
* Faster scatter.

Add specialization for 1-d index tensors.

* Address review comments.

- Check for row contiguity of index, update tensors
  instead of checking strides.
- Add support for 1d specialization with col contiguous update
  tensor, along with a test.

* Nit1

Co-authored-by: Awni Hannun <awni.hannun@gmail.com>

* Nit2

Co-authored-by: Awni Hannun <awni.hannun@gmail.com>

---------

Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
 2024-02-21 11:09:30 -08:00
Awni Hannun
5798256fcf Shapeless compilation for some graphs (#687) 
* shapeless compilation for some graphs

* update compile benchmark

* default compile a few activations

* buffer donation

* bugfix

* shapeless fix

* update tests to work for cpu and gpu fusion

* test kwargs

* add kwargs to compile

* Recompile when python arguments change

* no compile for tanh

* some constant tests

---------

Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>
 2024-02-19 21:43:54 -08:00
Awni Hannun
ccf1645995 Custom primitive + RoPE fat op (#676) 
* extensions start

* rope custom op

* fix build

* docs + rope benchmark

* fix test

* Add a Metal kernel for RoPE

* Fix position of traditional

* transform tests

* Move rope computation to float and fix tests

* Fix the test and a typo

* change to fast

* fix no metal build

---------

Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>
 2024-02-14 14:04:25 -08:00
Vijay Krish
2fdc2462c3 Faster gather and scatter. (#682) 
Reduce unnecessary integer ops, especially since
there kernels are integer bound.

Increase number of iterations for benchmarks for
better smoothing.

Github Issue #506

Co-authored-by: Vijay Krishnamoorthy <vijay_krish@apple.com>
 2024-02-13 17:47:41 -08:00
Nripesh Niketan
0dbc4c7547 feat: Update pre-commit-config.yaml (#667) 2024-02-11 06:08:20 -08:00
Vijay Krish
06072601ce Scatter optimization : Eliminate 64b integer divide. (#662) 
Launch 2D grid to eliminate divide and mod in device code,
since 64b integer division is very expensive.

Github Issue #506

Co-authored-by: Vijay Krishnamoorthy <vijay_krish@apple.com>
 2024-02-10 08:49:51 -08:00
Awni Hannun
e319383ef9 Faster gather (#626) 
* faster gather

* update copyright
 2024-02-04 17:25:44 -08:00
Awni Hannun
3c2f192345 Propagate nans in binary ops (#579) 
* 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
 2024-01-29 11:19:38 -08:00
Awni Hannun
86e0c79467 remove stale benchmarks (#527) 2024-01-22 22:17:58 -08:00
Awni Hannun
7a34e46677 Quantize with groups of 32 (#511) 
* allow quantize with group sizes of 32

* missing cpu dispatch

* remove print

* Fix qvm for group_size 32

---------

Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>
 2024-01-21 06:19:05 -08:00
Jagrit Digani
78102a47ad Update GEMM (#424) 
* 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
 2024-01-17 12:42:39 -08:00
Angelos Katharopoulos
c15fe3e61b Allow arbitrary first dimension in quantization kernels. (#458) 
* 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
 2024-01-16 00:46:21 -08:00
Awni Hannun
f099ebe535 Multi output primitives (#330) 
* Multi-output primitives

---------

Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>
 2024-01-08 16:39:08 -08:00
Angelos Katharopoulos
e7f5059fe4 Support for quantized matmul with w and w^T (#349) 
* Add the metal qvm implementation
* Add qmm_n
* Add gradient wrt to input for quantized_matmul
 2024-01-03 14:22:36 -08:00
Josh Soref
44c1ce5e6a Spelling (#342) 
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Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com>
 2024-01-01 21:08:17 -08:00
Angelos Katharopoulos
9e6b8c9f48 Refactor the reduction kernels (#277) 2023-12-24 14:47:57 -08:00
Angelos Katharopoulos
dfa9f4bc58 An initial quantized matmul implementation (#205) 
* Add quantized matvec
* Add quantized matrix matrix with 2nd matrix transposed
* Add quantized matmul tests
* Add a slow cpu quantized matmul
* Add a slightly faster vectorized cpu version
 2023-12-18 23:18:57 -08:00
Diogo
02de234ef0 Activations LeakyReLU / PReLU / Softplus / Mish (#109) 
* Leaky_relu / prelu / softplus / mish

* added tests

* updated bench

* remove torch refs, add init to PReLU

* added arvix reference to mish

* added missing docs
 2023-12-11 19:40:57 -08:00
Nicholas Santavas
f5df47ec6e Add Step, ELU, SELU, Swish activation functions (#117) 
* Add Step, ELU, SELU, Swish activation functions

This commit adds the Step, ELU, SELU and Swish activations functions

* add to the docs

* review
 2023-12-11 17:04:07 -08:00
Jason
b0cd092b7f Added activation functions: leaky_relu relu6 softplus elu celu logsigmoid (#108) 
* added leaky_relu relu6 softplus elu celu logsigmoid
* minor fixes for docstring and benchmark imports
* fixed elu implementation and added tests
* added tests for optional param, changed leaky_relu param to fit pytorch documentation
 2023-12-10 16:31:38 -08:00
Zach Schillaci
5b9be57ac3 Add isort pre-commit and run (#68) 2023-12-08 11:31:47 -08:00
Yingbo Ma
36b245b287 Fix benchmark example (#11) 2023-12-06 07:17:16 -08:00
Awni Hannun
46a39e5b1f copyright + ack 2023-11-30 11:12:53 -08:00
Jagrit Digani
e6306cfee9 jagrit's commit files 2023-11-29 10:52:08 -08:00
Angelos Katharopoulos
d1f86272a2 angelos's commit files 2023-11-29 10:42:59 -08:00
Awni Hannun
8ca7f9e8e9 awni's commit files 2023-11-29 10:30:41 -08:00