* add name support
* use fetch in gpt2
* remove requests from main lib, networkx also optional
* umm, keep that assert
* updates to fetch
* i love the walrus so much
* stop bundling mnist with tinygrad
* err, https
* download cache names
* add DOWNLOAD_CACHE_VERSION
* need env.
* ugh, wrong path
* replace get_child
* WIP: Stable diffusion WebGPU port
* Load whole model: split safetensor to avoid Chrome allocation limit
* Gitignore .DS_Store, remove debug print
* Clip tokenizer in JS
* WIP: Compile model in parts (text model, diffusor, get_x_prev_and_pred_x0, decoder), and recreate forward logic in JS
* e2e stable diffusion flow
* Create initial random latent tensor in JS
* SD working e2e
* Log if some weights were not loaded properly
* Remove latent_tensor.npy used for debugging
* Cleanup, remove useless logs
* Improve UI
* Add progress bar
* Remove .npy files used for debugging
* Add clip tokenizer as external dependency
* Remove alphas_cumprod.js and load it from safetensors
* Refactor
* Simplify a lot
* Dedup base when limiting elementwise merge (webgpu)
* Add return type to safe_load_metadata
* Do not allow run when webgpu is not supported
* Add progress bar, refactor, fix special names
* Add option to chose from local vs huggingface weights
* lowercase tinygrad :)
* fp16 model dl, decompression client side
* Cache f16 model in browser, better progress
* Cache miss recovery
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* lazy cleanups
* ast functions take in LazyOps
* op instead of self.op
* _base for mops
* fix contiguous
* start schedule
* test_schedule
* fix openpilot
* more tests
* bugfix and test skip
* work
* make sure things get freed
* fix zerosized tensors
* fix failing test
* fix ceil and friends
* fix openpilot
* disable training
* disable test collectives
* patch to remove hack from stable_diffusion.py
* sorry linter
* realize after assign?
* float16 broken in llvmlite use float64 for now
* int32
* idiot forgot to change test array dtype
* Refactor AttnBlock, CrossAttention, CLIPAttention to share code
* Reshape and transpose in loop
* Bugfix on attention mask
Co-authored-by: Jacky Lee <39754370+jla524@users.noreply.github.com>
* add stable diffusion and llama
* pretty in CI
* was CI not true
* that
* CI=true, wtf
* pythonpath
* debug=1
* oops, wrong place
* uops test broken for wgpu
* wgpu tests flaky
* third try at torch loading
* numpy fixed
* fix enet compile
* load_single_weight supports empty weights
* oops, CPU wasn't the default
* so many bugs
* 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 <geohot@gmail.com>
Co-authored-by: Mitchell Goff <mitchellgoffpc@gmail.com>
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* Rename Normalize and move to nn
* Fix comparison to None error
* Add test for GroupNorm
* Rename test case
* Flip parameters to match PyTorch
* Increase error tolerance
* Fix elementwise_affine on channels
* Match arguments with PyTorch
* Initialize weight and bias only when affine is true
* Is this it?
* A bit cleaner
* Handle case where weight or bias is None
* this work?
* glorot uniform
* requies_grad broke
* propagate the None correctly
* so this weight init works
* ahh, i think it's this
* can't beat this
* glorot is best for ae
* remove comments
George Hotz
chenyu
Ahmed Harmouche
Dat D. Nguyen
segf00lt
George Hotz
Francis Lam
Karan Handa
Umut Zengin
nimlgen
Jacky Lee
Felix
AN Long
Diogo
Kirill
Pankaj Doharey
George Hotz
nogira
Drew Hintz