* start
* simple kernels working
* restructure
* inverse example working
* docs + fixes
* missing file
* fix imports
* address comments
* add docs + fix test
* Review comments + refactor to a single function
* update docs
* remove hashing
* fix contig bug in test
* back to a class
* trailing whitespace
* fix tests
* match c++ and python apis
* add link + make args kw_only
* Fix: Preserve input dtype in Dropout layer output
- Modified Dropout implementation to ensure that the output dtype matches the input dtype.
- This resolves the issue #1321
* Update test cases in test_nn.py
- Revised test cases to align with updated dropout code
- Fixed assertion method: replaced self.assertTrue with self.assertEqual for accurate comparisons in test_nn.py -> test_rope, test_alibi and test_dropout,
* updated dropout.py
* Add fast affine dequantize
* add full quantize kernel
* fused kernel with scale/bias computation
* fix docstring
* fix no jit error
* fix test
* test fix
* reduce fast api to only affine_quantize
* initial attempt, working with wrong types
* not compiling; mx.float16 and mx.bfloat16 tests added
* fix nan to num
* nit
---------
Co-authored-by: Awni Hannun <awni@apple.com>
* 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
