* added missing colon
* bug fixes for cifar10 dataset loading
needed a reshape to work with conv layers and resolve fetched tensor to numpy since further code expects numpy array
make it work out of the box for new users.
the default configuration of train_efficientnet is to use the smaller cifar
dataset. import datasets.imagenet tries to open imagenet_class_index.json
and will fail, unless user has already downloaded it.
* Fix examples
* Remove training in parameters
* Simplify a bit
* Remove extra import
* Fix linter errors
* factor out Device
* NumPy-like semantics for Tensor.__getitem__ (#506)
* Rewrote Tensor.__getitem__ to fix negative indices and add support for np.newaxis/None
* Fixed pad2d
* mypy doesn't know about mlops methods
* normal python behavior for out-of-bounds slicing
* type: ignore
* inlined idxfix
* added comment for __getitem__
* Better comments, better tests, and fixed bug in np.newaxis
* update cpu and torch to hold buffers (#542)
* update cpu and torch to hold buffers
* save lines, and probably faster
* Mypy fun (#541)
* mypy fun
* things are just faster
* running fast
* mypy is fast
* compile.sh
* no gpu hack
* refactor ops_cpu and ops_torch to not subclass
* make weak buffer work
* tensor works
* fix test failing
* cpu/torch cleanups
* no or operator on dict in python 3.8
* that was junk
* fix warnings
* comment and touchup
* dyn add of math ops
* refactor ops_cpu and ops_torch to not share code
* nn/optim.py compiles now
* Reorder imports
* call mkdir only if directory doesn't exist
---------
Co-authored-by: George Hotz <[email protected]>
Co-authored-by: Mitchell Goff <[email protected]>
Co-authored-by: George Hotz <[email protected]>
* Refactor getenv into helpers
* Remove unused os
* Fix default value
* Fix more defaults for CI
* Fix bracket
* Revert changes to openpilot/compile.py
* Use getenv from helpers when possible
* no of categories for efficientnet
* need layer_init_uniforn
* merge fail
* merge fail
* batchnorms
* needs work
* needs work how determine training
* pow
* needs work
* reshape was needed
* sum with axis
* sum with axis and tests
* broken
* works again
* clean up
* Update test_ops.py
* using sum
* don't always update running_stats
* space
* self
* default return running_stats
* passes test
* need to use mean
* merge
* testing
* fixing pow
* test_ops had a line dropped
* undo pow
* rebase
geohot