Commit Graph

115 Commits

Author SHA1 Message Date
Diogo
449b43762e
Add inner / outer op (#348)
* 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
2024-01-07 09:01:09 -08:00
Angelos Katharopoulos
6ea6b4258d
Fix style check (#395) 2024-01-07 05:54:58 -08:00
Anchen
48f6ca8c3a
Add theta cache for Rope and mask cache for ALiBi (#375) 2024-01-07 00:22:58 -08:00
Awni Hannun
b34bf5d52b
fix saving for non-contiguous arrays (#389) 2024-01-06 12:44:02 -08:00
Angelos Katharopoulos
4c48f6460d
Fix segfault from buffer protocol and tests (#383)
* Fix segfault from buffer protocol and tests

* Fix tf test
2024-01-05 18:17:44 -08:00
Daniel Strobusch
1331fa19f6
Make array conform to the Python Buffer Protocol (#323) 2024-01-05 15:58:33 -08:00
Daniel Strobusch
dfdb284e16
make behaviour of dtype arguments consistent and compliant to numpy (#379)
All functions that take an optional dtype should

* have a default dtype visible in the generated docs (accomplished via `"dtype"_a = std::optional{float32}`)
* behave identical when `dtype=None` or no dtype is passed

This important when passing kw args down from a numpy function like:

```
def f(x, dtype=None):
  mx.random.uniform(dtype=dtype)
  # ...
```

NumPy functions behave like this.

It also fixes a minor bug in `tri`: #378

Closes #378
2024-01-05 09:37:46 -08:00
mutexuan
d8f41a5c0f
support python mlx.array creation from list of mlx.array's (#325)
* 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
2024-01-04 18:53:33 -08:00
Awni Hannun
b9e415d19c
bump pre commit and fix format (#373) 2024-01-04 16:28:52 -08:00
Angelos Katharopoulos
75dc537e44
Fix the sigmoid module (#371) 2024-01-04 13:16:36 -08:00
Awni Hannun
cf88db44b5
revert copy (#366) 2024-01-04 10:43:29 -08:00
Chunyang Wen
16856a0160
Remove useless pass (#364)
Co-authored-by: Chunyang Wen <chunyang_wen@apple.com>
2024-01-04 06:34:01 -08:00
Awni Hannun
d752f8e142
Fix CI (#359)
* fix ci

* check for linux for fp16
2024-01-04 06:33:08 -08:00
toji
d2467c320d
Added support for python copy (#335)
* Added support for python copy

* precommit changes

* removed `_compiled_call_impl` line

* added tests and suggested changes

* ACK changes
2024-01-03 20:59:40 -08:00
Diogo
0d31128a44
use union instead of | (#358) 2024-01-03 19:33:19 -08:00
Diogo
1ac18eac20
simple numpy helper for tests (#352) 2024-01-03 19:19:19 -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
Gabrijel Boduljak
c7edafb729
implemented InstanceNorm (#244)
* implemented instancenorm

* implemented vector_norm in cpp

added linalg to mlx

* implemented vector_norm python binding

* renamed vector_norm to norm, implemented norm without provided ord

* completed the implementation of the norm

* added tests

* removed unused import in linalg.cpp

* updated python bindings

* added some tests for python bindings

* handling inf, -inf as numpy does, more extensive tests of compatibility with numpy

* added better docs and examples

* refactored mlx.linalg.norm bindings

* reused existing util for implementation of linalg.norm

* more tests

* fixed a bug with no ord and axis provided

* removed unused imports

* some style and API consistency updates to linalg norm

* remove unused includes

* fix python tests

* fixed a bug with frobenius norm of a complex-valued matrix

* complex for vector too

* addressed PR review comments

* fixed import order in __init__

* expected values in instancenorm tests are simple lists

* minor return expression style change

* added InstanceNorm to docs

* doc string nits

* added myself to individual contributors

---------

Co-authored-by: Awni Hannun <awni@apple.com>
2024-01-03 12:21:15 -08:00
Awni Hannun
dff4a3833f
Module checks the weight on load_weights (#337)
* update module to check weights on load, also fix docs and reorganize tests

* nits + rebase

* a few more docs updates for Module

* use manual module file

* comment
2024-01-02 18:55:42 -08:00
Diogo
0782a4573a
Add Tensordot op (#344) 2024-01-02 17:15:00 -08:00
Angelos Katharopoulos
436bec9fd9
Fix the implementation of the Bilinear layer (#347) 2024-01-02 16:46:18 -08:00
Asaf Zorea
295ce9db09
Feature expand nn linear (#315)
* Added an identity and bilinear layers
Added a reset_parameters option
Added normal init for bias

* pre-commit run

* add type hints for parameters and the return type
change Bilinear math to x_1 and x_2
change __call__ arguments to x and y instead of input and output
add explanation to the Initialization

* Remove unnecessary reshape

* Added 'i' to bilinear formula

* Changed bilinear computation to two matrix multiplications

* avoid saving intermediate results, kept y in bilinear for better clarity (can be replaced with x1)

* Changed math formula in Linear
Added more explanation to math formulas
Changed x1, x2 reshape to support all inputs sizes
2024-01-02 06:08:53 -08:00
Josh Soref
44c1ce5e6a
Spelling (#342)
* spelling: accumulates

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---------

Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com>
2024-01-01 21:08:17 -08:00
mutexuan
350095ce6e
fix type cast error in item() for bfloat16 (#339)
Co-authored-by: xuan <xuan@apple.com>
2024-01-01 19:02:04 -08:00
Nripesh Niketan
e09bf35b28
feat: Add Dropout3d layer to nn.layers (#313)
* feat: Add Dropout3d layer to nn.layers

* acknowledgement

* Add dropout tests to test_nn.py

* run pre-commit

* Add activation functions and dropout3d ops

* Add dropout tests for bfloat16 and float16
2023-12-31 14:01:21 -08:00
Hazem Essam
e3b8da2a49
Added implementation for Scaled RoPE. (#261)
* Added scale for RoPE

* Ran pre-commit

* Added RoPE scaling test

* Added docstring for scale parameter

* Modified docstrings
2023-12-31 06:06:01 -08:00
Nripesh Niketan
5ad8fb7268
feat: add softsign, softmax, hardswish, logsoftmax activation function (#309)
* feat: add softsign activation function

* run pre-commit

* Add Softsign activation function

* Add Softsign activation function

* Add documentation for ReLU6, Softplus, and Softsign activations

* Update activation functions in neural network layers

* Add LogSoftmax and Hardswish activations

* run pre-commit

* Update activations.py

* Added acknowledgements

* Fix activation function comments

* Fix activation functions in neural network layers
2023-12-29 11:49:36 -08:00
Chunyang Wen
2aedf3e791
Minor refactor for tree_map and tree_unflatten (#311)
* Minor refact for tree_map and tree_unflatten

* Remove the if statement

---------

Co-authored-by: Chunyang Wen <chunyang_wen@apple.com>
2023-12-28 20:55:10 -08:00
Chunyang Wen
473b6b43b4
Use defaultdict (#307)
Co-authored-by: Chunyang Wen <chunyang_wen@apple.com>
2023-12-28 14:46:13 -08:00
Angelos Katharopoulos
d29770eeaa
Update batchnorm to have the running stats in parameters (#305) 2023-12-28 14:31:10 -08:00
Chunyang Wen
040c3bafab
Add missing f str (#306)
Co-authored-by: Chunyang Wen <chunyang_wen@apple.com>
2023-12-28 06:09:34 -08:00
Chunyang Wen
05767b026f
Add information for dropout probability (#304)
Co-authored-by: Chunyang Wen <chunyang_wen@apple.com>
2023-12-27 21:51:30 -08:00
Bahaa
ff2b58e299
Add support for repeat (#278)
* add repeat function

* fix styling

* optimizing repeat

* fixed minor issues

* not sure why that folder is there xD

* fixed now for sure

* test repeat not repeat test

* Fixed

---------

Co-authored-by: Bahaa Eddin tabbakha <bahaa@Bahaas-MacBook-Pro.local>
2023-12-27 13:11:38 -08:00
YUN, Junwoo
4417e37ede
Transformer fix (#167)
* add transformer with dropout, fix transformer ffm, layernorm order

* precommit changes

* precommit changes

* add docstring, activation, norm_first

* run precommit

* run precommit

* add doctstring

* precommit

* style nits in docs

---------

Co-authored-by: junwoo-yun <junwoo.yun@bagelcode.com>
Co-authored-by: Awni Hannun <awni@apple.com>
2023-12-27 08:48:36 -08:00
Angelos Katharopoulos
79c95b6919
Fix load compilation (#298) 2023-12-27 06:20:45 -08:00
Diogo
1f6ab6a556
Safetensor support (#215)
Co-authored-by: Awni Hannun <awni@apple.com>
2023-12-27 02:06:55 -08:00
Gabrijel Boduljak
6b0d30bb85
linalg.norm (#187)
* implemented vector_norm in cpp

added linalg to mlx

* implemented vector_norm python binding

* renamed vector_norm to norm, implemented norm without provided ord

* completed the implementation of the norm

* added tests

* removed unused import in linalg.cpp

* updated python bindings

* added some tests for python bindings

* handling inf, -inf as numpy does, more extensive tests of compatibility with numpy

* added better docs and examples

* refactored mlx.linalg.norm bindings

* reused existing util for implementation of linalg.norm

* more tests

* fixed a bug with no ord and axis provided

* removed unused imports

* some style and API consistency updates to linalg norm

* remove unused includes

* fix python tests

* fixed a bug with frobenius norm of a complex-valued matrix

* complex for vector too

---------

Co-authored-by: Awni Hannun <awni@apple.com>
2023-12-26 19:42:04 -08:00
Angelos Katharopoulos
447bc089b9
Fix tolerance in de-/quantization test (#295) 2023-12-26 19:21:05 -08:00
Daniel Strobusch
d58ac083f3
expose itemsize and nbytes as for numpy arrays (#284)
see:
  * https://numpy.org/doc/stable/reference/generated/numpy.ndarray.nbytes.html
  * https://numpy.org/doc/stable/reference/generated/numpy.ndarray.itemsize.html

relates to https://github.com/ml-explore/mlx-examples/pull/174
2023-12-25 10:34:28 -08:00
__mo_san__
a123c3c7d2
implement-batch-norm-layer (#217)
- Add batch normalization layer

---------

Co-authored-by: Robert McCraith <mccraithrobert@gmail.com>
Co-authored-by: Awni Hannun <awni@apple.com>
2023-12-25 07:32:53 -08:00
Zach Schillaci
22fee5a383
Remove redundant assert in losses.py (#281) 2023-12-24 08:39:08 -08:00
Daniel Strobusch
7365d142a3
random.uniform must respect dtype, even if lower precision than "low" (#280)
Fix an edge case where random uniform returns a float32 array, even if a lower precision dtype is wanted due to adding the float32 "low" array.
2023-12-24 07:04:43 -08:00
Vidit Agarwal
8c3da54c7d
Fix failing test for log cosh loss (#275)
* fix assert statement in log_cosh_loss

* reformatted by pre-commit black
2023-12-23 16:26:46 -08:00
Vidit Agarwal
acf1721b98
Corrected the example of value_and_grad (#274)
* Corrected the example for mx.value_and_grad

* Reformat through pre-commit/black
2023-12-23 11:06:38 -08:00
Finn Voorhees
f91f450141
Fix argmax returns documentation (#263) 2023-12-22 20:33:17 -08:00
Nicholas Santavas
d35fa1db41
Add Hinge, Huber and LogCosh losses (#199) 2023-12-22 10:28:10 -08:00
Justin Deschenaux
e8deca84e0
Add dropout2d (#250) 2023-12-22 08:02:29 -08:00
Angelos Katharopoulos
1d053e0d1d
Fix the alibi test that was left unchanged (#252) 2023-12-21 14:59:25 -08:00
Hazem Essam
0aa65c7a6b
Added ALiBi implementation (#232) 2023-12-21 14:36:38 -08:00
Angelos Katharopoulos
2c7df6795e
Make sure that arrays are freed when saving (#247) 2023-12-21 14:08:24 -08:00