George Hotz
8919ca8163
test cleanups
2023-03-03 06:36:06 -08:00
George Hotz
3915c89fb6
symbolic improvements ( #629 )
...
* fixups
* shorter diff
* wow, okay removing that had side effects
* more numeric tests
* MIN MAX tests
2023-03-02 19:50:38 -08:00
George Hotz
0335cb86b9
refactor comparison. there's a bug in the method cache
2023-03-02 10:10:16 -08:00
George Hotz
11f257ddf9
clean up cmp tests
2023-03-02 09:35:16 -08:00
Diogo
52204a7b88
adding comparison operators ( #616 )
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* Less, LessOrEqual, Greater, GreaterOrEqual, Equal
* lint fix
* using built in functions
* overriding __eq__ breaks things
* backwards pass for less - foward only tests
* one other spot
* removing backwards for comparison ops to match pytorch
* raise runtime error
* more tests for comparison ops
* fixed the lineup
* added number upcast tests
2023-03-02 08:10:44 -08:00
George Hotz
2e26286294
speed like you wouldn't believe ( #626 )
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* speed like you wouldn't believe
* fix tests
2023-03-02 07:49:19 -08:00
George Hotz
fca055bd66
NOOP means contiguous
2023-03-01 21:54:51 -08:00
George Hotz
d062cc82b8
put restrict back
2023-03-01 21:34:45 -08:00
George Hotz
b442e75c7a
test speed v torch
2023-03-01 19:50:12 -08:00
George Hotz
bfcec234a2
Refactor ASTs ( #622 )
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* ugh worst branch name
* compiler refactor continues
* scc -> cloc
* buf -> _buf
* finish _buf, and program -> runtime
* gpu is still working, clang isn't
* clang in new style
* ops_metal
* something broke it
* improve metal
* clean up tons of cl crap
* hack fix sync
* cleaner gpu
* gpu metal clang
* cleanups
* minor refactor
* GPUCodegen
* fix up LLVM
* blind CUDA refactor
* codegen / runtime
* keep ops naming
* linter passes
* woah, llvm was allocing 4x what it needed to
* bugfixes
* fix openpilot compiler
* fix compile_efficientnet
* method cache should fix tests
* deal with duped functions
2023-03-01 18:57:29 -08:00
Jacky Lee
5e41d5857c
Add tests for randomness ( #621 )
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* Add tests for random creation functions
* It worked on my machine!
* Rename to helper_same_distribution
* Remove extra line
* Add tests for equal distribution
* Test without scipy
* Do a different test for randn
2023-03-01 15:39:20 -08:00
George Hotz
e9e71fbfc4
remove mlop ( #619 )
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* remove mlop
* lil simpler
2023-02-28 17:58:24 -08:00
George Hotz
4c4d88aad4
fix the last bug, and make HLOP the default
2023-02-28 17:04:28 -08:00
George Hotz
17c55f051d
fix test symbolic
2023-02-28 16:37:08 -08:00
George Hotz
28f52f7c24
improve symbolic
2023-02-28 16:21:58 -08:00
George Hotz
e21df1701b
distribute + refactor merge_views
2023-02-28 14:57:56 -08:00
George Hotz
9d539b8ebb
more intuitive output shape from _pool
2023-02-28 11:41:48 -08:00
George Hotz
cfa5a12f13
simplify in shapetracker
2023-02-28 00:35:26 -08:00
George Hotz
8478a61cdb
simplify in shapetracker
2023-02-28 00:35:26 -08:00
George Hotz
7b999add1d
all onnx model tests pass
2023-02-27 11:22:45 -08:00
George Hotz
643e8b0388
fix tests, test bn evaluate too
2023-02-27 10:39:47 -08:00
George Hotz
2f17d151b3
fix batchnorm not realizing
2023-02-27 10:19:54 -08:00
George Hotz
9aaa7edd74
no rnn support in onnx
2023-02-27 08:25:48 -08:00
George Hotz
edc8fbfff2
woah, why isn't OPT=2
2023-02-27 08:03:31 -08:00
George Hotz
a52913b242
test conv shapetracker has one view
2023-02-27 07:54:47 -08:00
George Hotz
f10ccf7ec1
fix up eye and fix gc test
2023-02-27 06:53:18 -08:00
George Hotz
686a74de92
fast zeros and ones
2023-02-27 06:46:26 -08:00
George Hotz
3a2a500e90
prevent race condition, external yolo test for now
2023-02-26 17:08:24 -08:00
Jacky Lee
0f58c4c648
Cleanup yolo and remove stateless classes ( #604 )
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* Add AvgPool2d as a layer
* Clean up a bit
* Remove stateless layers in yolo_nn
* More cleanup
* Save label for test
* Add test for YOLO
* Test without cv2
* Don't fail if cv2 not installed
* Better import
* Fix image read
* Use opencv :)
* Don't download the file
* Fix errors
* Use same version
* Set higher confidence
* Why is the confidence so low?
* Start over
* Remove stateless layers
* Remove extra lines
* Revert changes
* Save a few more lines
2023-02-26 16:55:21 -08:00
George Hotz
1d01842232
remove fake test
2023-02-25 10:21:07 -08:00
George Hotz
8b96522e1d
instant identity removal
2023-02-25 09:46:04 -08:00
voidz
94bec40110
moved extras/jit.py -> tinygrad/jit.py ( #599 )
...
* moved extras/jit.py to tinygrad/jit.py
* fixed indent
* removed tinygrad.helpers.DEBUG from jit.py
2023-02-25 08:32:33 -08:00
George Hotz
2c5e13a513
Reluless ( #600 )
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* replace relu for maximum
* fix for other backend
* clean up RELU and GT0
* tests for maximum
* had to clean that up
* why reverse a maximum?
2023-02-25 01:21:16 -08:00
George Hotz
f3386c7f09
improve symbolic, hlop conv output is simple now
2023-02-24 22:20:40 -08:00
George Hotz
f8f026e8bb
oversized expand for HLOP convs
2023-02-24 21:48:47 -08:00
George Hotz
2edfe64512
improve shapetracker tests
2023-02-24 21:07:53 -08:00
George Hotz
da5643d024
rest of tests shouid be made to pass
2023-02-24 12:52:23 -08:00
George Hotz
85452fbaf3
onnx 58/109/208
2023-02-24 12:19:05 -08:00
George Hotz
e8a153e4e9
onnx : add a whole bunch of ops
2023-02-24 12:00:03 -08:00
George Hotz
f2486a7248
more onnx ops
2023-02-24 10:55:58 -08:00
George Hotz
4d0a3dd653
openpilot expand is bugged
2023-02-24 10:25:59 -08:00
George Hotz
2e56a4793e
rename log_softmax, support dim, fix onnx Softmax
2023-02-24 10:11:24 -08:00
George Hotz
5cdfeffe2c
fix shape test
2023-02-24 09:36:32 -08:00
George Hotz
e263c0c628
onnx : another model test is passing
2023-02-24 09:22:58 -08:00
George Hotz
d3feea302d
much cleaner way to write onnx ops
2023-02-24 08:46:28 -08:00
George Hotz
f6d946853c
more bugfixes
2023-02-24 00:21:29 -08:00
George Hotz
b1b2d8f440
onnx : some op tests working
2023-02-23 23:58:13 -08:00
George Hotz
2d59b25ead
onnx backend test : enable only the model tests
2023-02-23 22:36:26 -08:00
George Hotz
5b10dfcab8
onnx tests : 22/175/208
2023-02-23 22:00:16 -08:00
George Hotz
d8b6f241f1
external_test_onnx_backend
2023-02-23 21:55:07 -08:00
