* Make max op NaN propagation rules align with numpy
* Adding benchmarks and testing for max op nanpropagation
* Pre-commit formatting
* Fix max complex64 nan propagation and add test
* Improve the cpp unittest
* Only check nans on non-integral types in simd_reduce_impl.
* Cleanup using namespace alias
* Add cpu Max nanpropagation. Fix a small fib in cpu max dispatch data types for int8/int16.
* Make the max nanpropagation test more meaningful for integer types
* Remove tuple unpacking syntax to comply with earlier python versions. Add cuda skip to nanpropagation tests, fix cuda implementation in a separate PR.
* einsum initial
* fix comma break
* sum axis was wrong
* small cleanups
* python binding
* changed bindings to resemble numpy
* remove todo comment
* comment changes
* add count of operands/inputs
* fail fast if operands list is empty
* ignore comma if no output
* einsum path matching numpy
* getting somewhere with path
* remove print
* it passes the first test
* moved einsum tests to seperate file
* seperated einsum path
* moved einsum naive
* remove space from equation
* fast fail if no operands passed
* update tests and remove printf
* small cleanup
* some more cleanups
* removed python helper file
* ack
* utilize std for finding min in vector
* duplicate def
* remove the tuple as it was unreadable
* moved einsum_naive back to ops
* remaining isn't needed
* avoid creating another set
* cleanup
* greedy path, start of naive einsum
* more einsum
* fix some bugs
* some more fixes, tests pass
* benchmark
* some simplify
* fix einsum and test
Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>
* add a bunch more tests and fix a bunch more bugs
* some docs nits
---------
Co-authored-by: dc-dc-dc <dgcruz983@gmail.com>
Co-authored-by: Angelos Katharopoulos <a_katharopoulos@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
* Metal shaders for efficient self attention on large sequences
Updated fast attention: GEMM-ified with Steel primitives
Uses flash attention 1 for scale correction
* more compiler silencing
* Address rebase issues
* Templatize kernel instantiation, revise cpu bindings
* Safer writes to output
* Permit batch size > 1
* Numerical fixes for sdpa self attention
* Re-enable test, remove unused variable
* add benchmarking script
* Disable sdpa prior to perf tuning, and simplify tests for per-patch CI
* 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
* 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
Clydingus