Simple test using the Chicken example from https://upload.wikimedia.org/wikipedia/commons/4/41/Chicken.jpg and the image preprocessing from example/efficientnet.py
Note that EfficientNet loads the weights from the internet so running the tests may be slow the first time. We could speed up the tests by caching the /tmp folder.
Fixes#234
Because the weights are being loaded from a third party internet address, it's unsafe to use eval. Also with the change I think the code became a little bit more clear as now it's clearer which keys are being transformed.
Co-authored-by: Seba Kreft <sebastian.kreft@houm.com>
1. python create model not match swift model in ane build folder.
2. fix ane lib path and add a dummy backward function for use_ane.py
can run in examples folder.
* added resnets
* fix minor
* fix minor
* resnet in models
* added resnet test
* added resnet train test
* added linear, conv2d nn tests
* fix minor in extra/training
* resnet in models
* fix minor
* fix tolerance for linear in nn test
* fix eval, this causes cpu and gpu UT failing
* revert transformer test
* fix minor for CPU test
* improved model get_params for sequential layer
* fix minor for params counting
* commented broken ops tests
* improved train for resnet
* Add dropout test
* Remove condition where training is false
* Skip dropout test when on GPU
* Revert changes to tensor.py and fix test case
* Revert change on whitespace
* Convert Tensor to cpu for testing
* Fix whitespace in tensor.py
* ops_risk
* risk sim
* guessing is for winners
* minor
* better
* matmal with risk
* conv doesn't work
* closer
* conv2d works
* ops_risk
* opt2 works
* opt1 may not be possible
* opt1 is a mulacc
* arty
* attosoc example building on mac
* minor
* riscv assembler
* gucci gang
* we got C code
* not a scam
* hello
* make risk mergeable into master
* unop support
* use isinstance, some optimizations & whitespace removal
* revert whitespace changes
* revert more whitespace
* some more cleanup
* revert fstring (not a fan of the {{}})
* fix typo
* fix typo
