chenyu 539b00a645 move llama getenv("JIT") from models to examples (#2671) ...

Transformer class has a jit param so we should use that in the caller

2023-12-07 12:43:22 -05:00

..

accel

move things, clean up extra (#2292)

2023-11-13 20:18:40 -08:00

assembly

dtypes.float.vec(sz) (#2386)

2023-11-22 17:43:14 -08:00

datasets

bump version to 0.8.0, clean CI, remove requests (#2545)

2023-12-01 10:42:50 -08:00

dist

hip & cuda to gpuctypes (#2539)

2023-12-01 09:25:27 -08:00

gemm

mlx benchmark, a lil slower than tg

2023-12-05 19:00:43 -08:00

junk

coder.py can write and run code (#2439)

2023-11-25 12:27:54 -08:00

models

move llama getenv("JIT") from models to examples (#2671)

2023-12-07 12:43:22 -05:00

optimization

bye bye NOOP (#2534)

2023-11-30 23:10:35 -08:00

triton

Bitcast support / fast bf16 load (#2011)

2023-12-05 16:19:28 -08:00

archprobe.py

no werror in archprobe

2023-05-03 19:34:17 +00:00

augment.py

[ready] Replacing os with pathlib (#1708)

2023-08-30 10:41:08 -07:00

autopad.py

autopad shapetracker for BEAM (#2375)

2023-11-22 21:05:25 -05:00

dump_cache.py

wow how did i think that was okay (#2339)

2023-11-16 21:21:11 -08:00

export_model.py

new style device (#2530)

2023-11-30 17:07:16 -08:00

gradcheck.py

Fix: Jacobian tests [WIP] (#1126)

2023-07-05 15:36:22 -07:00

introspection.py

move optimize_local_size (#2221)

2023-11-05 21:00:52 -08:00

lr_scheduler.py

ResNet training changes (update benchmark) (#2390)

2023-11-22 17:41:12 -08:00

onnx_ops.py

Fix: Get item from ndarray before casting to int (#2525)

2023-11-30 18:34:31 -08:00

onnx.py

onnx ops cleanup (#2413)

2023-11-23 18:39:49 -08:00

thneed.py

new style device (#2530)

2023-11-30 17:07:16 -08:00

to_movement_ops.py

Node.vars() returns a set and properly dedup (#2356)

2023-11-18 17:44:52 -05:00

training.py

cleanups before interpreted jit (#2306)

2023-11-14 21:44:25 -08:00