* in. com.
* upd. ackn.
* update __init__
* nits
* nits + format
* used mx.maximum(x, 0) instead of calling the function and moves relu6 under relu2 to make it nicer
* same with _make_activation_module
* Update python/mlx/nn/layers/activations.py
upd
Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
* update funct.rst
* upd. layers.rst
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Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
* compile works for big arrays when contiguous
* style
* nits in docs
* a bunch more stuff
* update jit
* update jit
* use constant for shapes and strides and remove elem_to_loc overload
* use kernel instantiation
* docs nits
* update binary and ternary
* comments
* 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
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Co-authored-by: Awni Hannun <awni@apple.com>
