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feat: add cross_product (#1252)
* feat: add cross_product * lint * python binding * refactor: Improve error message for cross_product function * refactor: more close to numpy cross product * refactor: improve error message for cross_product function * finish * fix acks * allow old numpy * doc --------- Co-authored-by: Awni Hannun <awni@apple.com>
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@@ -7,7 +7,7 @@ with a short description of your contribution(s) below. For example:
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MLX was developed with contributions from the following individuals:
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- Nripesh Niketan: Added `softsign`, `softmax`, `hardswish`, `logsoftmax` activation functions. Added `dropout3d` ops. Added `LogicalAnd` and `LogicalOR` ops. Added `clip_grad_norm` along with `tree_reduce`.
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- Nripesh Niketan: Added `softsign`, `softmax`, `hardswish`, `logsoftmax` activation functions. Added `dropout3d` ops. Added `LogicalAnd` and `LogicalOR` ops. Added `clip_grad_norm` along with `tree_reduce`. Added `cross`.
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- Juarez Bochi: Fixed bug in cross attention.
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- Justin Deschenaux: Sine, Cosine, arange, randint, truncated normal, bernoulli, lion optimizer, Dropout2d, linear and logistic regression python example.
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- Diogo Da Cruz: Added `tri`, `tril`, `triu`, `tensordot`, `inner`, `outer`, `tile`, `StreamContext`, `stream`, safetensors support, `einsum`, and `einsum_path`.
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