* assert jitted times in openpilot
* better error
* better error
* add ASSERT_MIN_STEP_TIME to more models
* t is step_times
* update benchmark times
* update times
* no UnaryOps.NEG in generated UOp patterns
removed pattern `x * (-1) -> -x` and `x != True`
* those are fine because NEG became CMPNE and True
* fix sd validation L2 norm
* examples/stable_diffusion: support model checkpoints without alphas_cumprod key
(which is most models on civitai)
* fix indent
---------
Co-authored-by: a <a@a.aa>
* validate stable diffusion for seed 0
the closest false positive i can get is with the setup and one less step. dist = 0.0036
same setup with fp16 has dist=5e-6.
so setting validation threshold to 1e-4 should be good
* run with --seed 0
* 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
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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
