Example: https://github.com/tinygrad/tinygrad/actions/runs/16215577171/job/45784110543?pr=11177#step:7:20
Caused by footguny exception in how `set -e` works:
```bash
python -m mypy --strict-equality --lineprecision-report . && cat lineprecision.txt
```
Will fail (and have non-zero exit code if run in interactive mode) but
because there is `&&` it won't count as script-terminating failure in a
script with `set -e` and instead as a test (similar to how fail of a
command in if condition won't count as a script-terminating failure
despite having non-zero exit code)
* start LLM app, tons of clean up required. target is 200 line ollama
* kind of works
* simpler
* add k/v cache
* with SYM=1, it loops
* no rope cache
* simpler
* more cleanups
* cleanups
* works
* argparse and comments
* from gguf
* generate is a function
* no copy from cpu
* fix max context pass in
* test
* improve test
* ai2_arc
* fix 8B, use less ram
* 136 lines
* WebGPU on Windows
* Fix dawn-python install
* New test
* pydeps
* Minor fix
* Only install dawn-python on windows webgpu
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* kernel.py no longer permutes reduce axis [pr]
* delete tests that handcode uops
* regen of sops is broken...
* put import back
* just remove that
* disable those tests
* fix extract_dataset + tests
* add CI
* sops.gz itself is same as master
* yml + gzip -c + ge
* don't commit that
* bump limit to 1000
* axis=7
* test_tiny
* Don't use numpy inside hlb_cifar10 training loop
* Lint it
* jit it
* Drop the last half-batch
* Use gather for random_crop and reuse perms
* Wrap train_cifar in FUSE_ARANGE context
* No need to pass FUSE_ARANGE=1 to hlb_cifar10.py
* Add cutmix to jittable augmentations
* Remove .contiguous() from fetch_batches
* Fix indexing boundary
---------
Co-authored-by: Irwin1138 <irwin1139@gmail.com>
* change clang -march flag to -mcpu with fp16 disassembly test
* fix
* add capstone to macos dependencies
* just check no cast in test
* rm import
* woops
* lets check
* move check
* llvm init before cpu chcek
* try this
* bump autogen llvm version
* also update libclang?
* revert
* add comment
* skip llvm test and add comment
* linter
* fix
* add early verbose demo test
* is this how to write tests :s
* is definition drift even a thing? gemini says it is
* clean up
* better
* even better
* try add to CI
* doesn't work quite yet
* much more work to be done
* whoops
* partition the test heh
* skipif
* some nits for better names
* add webgpu test for onnxrunner
* fix reference links
* flush for now
* don't run linearize().uop tests in get_action_space test
this part takes 2 minutes in CI and has nothing to do with action space. also not sure if the "for some reason" comment is still relevant
* -n=auto test/models
* move view left to the outer graph
* global view right
* dont need that one
* remove comment
* test kernelize
* simple
* split onnx, test sdxl null
* fix testing
* ugh, wrong one
* Update test.yml
* move high level stuff to unit tests [pr]
* process replay on unit tests
* fix pr, less compute
* set omp num threads
* set 200MB buffer size limit
* delete junk
* fix tests
* faster
* move test_indexing to unit
* faster
* remove del spam from CI
* more
* preconstruct default buffer spec
* ignore those errors
* check exception
* more exception check
* skip stuff
* smaller tests mean faster tests
* a few more
* skip a few slow tests
* use a venv for python packages
* create venv
* no user, it's in venv
* ignore venv
* venv
* new cache key
* try that
* this
* version the python cache
