George Hotz
e9e71fbfc4
remove mlop ( #619 )
...
* 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 )
...
* 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 )
...
* 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
George Hotz
758515dcc0
conv2d is an hlop ( #589 )
...
* conv2d is an hlop
* shorter conv
* KOPT=-1
* alt imp
* MULACC
* smarter mulacc
* pop conv
* 7x7 -> 5x5
* didn't fix, that's not going to work
* this is faster and matches old behavior
* oh, non lazy just won't work with mulacc
* mulacc in torch
* bool types were creeping in
* optimizer is actually better with hlop conv
* fix pushing permutes issue
* refactor einsum_mulacc
* fix up readme
* update readme
* _image_conv2d
* fix bias addition location
* pushing permutes gets back to 200 kernels
* conv cleanup
* disable hlop conv
* don't hide that in helpers
2023-02-23 17:52:31 -08:00
George Hotz
ab3a2ae9a2
fix test_resnet in onnx now that maxpool works
2023-02-23 08:41:47 -08:00
George Hotz
fd6082dcef
support all _pool2d. conv will eventually be an hlop
2023-02-23 08:19:47 -08:00
Mischa Untaga
5190784cbb
Fix Tensor random functions determinism with same seed ( #580 )
...
* fix Tensor random functions determinism with same seed
* long lived rng
* TIL ClassVar typing
2023-02-22 19:08:43 -08:00
George Hotz
c8d89eb20e
avg/max pool strides
2023-02-22 18:00:48 -08:00
George Hotz
628ce067a1
add tests to mypy
2023-02-22 07:07:38 -08:00
George Hotz
104c3c5e73
oops, forgot that debug
2023-02-22 06:58:27 -08:00
Connor Henderson
9670bf1fd1
Add unsqueeze ( #574 )
...
* Add unsqueeze
* remove UNSQUEEZE from llops part of readme
* make it an hlop
2023-02-20 20:14:59 -08:00
George Hotz
60008e55cd
sick of that failing
2023-02-19 13:05:37 -08:00
Martin Loretz
7e9a5e3f31
Refactor graph ( #560 )
...
* Refactor graph
* Add graph tests
* Use CPUBuffer for graph tests
* Remove the use of GlobalCounters
2023-02-19 10:41:30 -08:00
Kirill
7944cfdadc
Remove Tensor.data ( #565 )
2023-02-18 16:36:12 -08:00
