* BOOM
* cache extra/huggingface/models/
* why max buffer size is not 0
* override MAX_BUFFER_SIZE
* less models
* remove more models and change cache dir to already cached dir
* only metal
* less is more?
* remove check ops
* why is this not setting the ENVVAR
* ughhhhh just test in models
* only cpu and gpu
* only cpu actually
* just override it idk
* final
* move extra dependencies up top
* simplification
* fix print
* make README better
* revert ops_disk fix for now
* clean up test_onnx
* remove testing fashion clip model cuz sloooowwwwww
* actually let METAL run this
* fix comment mistake
* fix download path in run_models
* does this work?
* cleanup setup and teardown
* contextvar like this?
* prove model is cached
* do I need to increment DOWNLOAD_CACHE_VERSION?
* see if cached with incremented DOWNLOAD_CACHE_VERSION
* use warnings to see if the model exists
* revert DOWNLOAD_CACHE_VERSION stuff and clean up
* add retry to download
* nit
* move view pushing to codegen, try 2
* fix up some linearizer tests
* fix test search
* fix test schedule
* delete that test
* fix test arange
* fix a few tests
* update tests
* push views
* ebs cleanup
* fix local/reg
* test and lint
* fix more tests
* test cleanups
* skipped that one
* cleanup fix_kernel
* early load buffer
* early meta ops
* move those to fix_kernel_ops
* fix tests
* remote metal was flaky
* Revert "fix tests"
This reverts commit a27019383d.
* that hack broke things
* fine for ptx
* add caching for apt packages
* remove 'inputs' from apt cache key, use outputs instead of env
* remove unnecessary mkdir for partial
---------
Co-authored-by: George Hotz <[email protected]>
instead of running test with 3.10, add onnx to mypy which would have caught StrEnum regression. Several type annotation failed mypy now that does not affect running the code and were skipped for now
* start
* remove onnx.load from compile4 and move np to dropout
* clean up and enable test
* clean up
* move WebGPU ONNX test into MacOS (WebGPU)
* leave test in ONNX (CPU)
* fix raw_data init None, and simplify onnx_runner test a little?
* THESE TESTS ARE SO UGLY UGHH
* need to really think about how to structure the test
* wow LLMs are quite something
* not always on disk now
* also add external data loading test
* cleaner tests
* minimize diff and add const folding tests
* add external data loading too
* whoops add webgpu back.. but why was it not needed in the first place?
* better comment
* move webgpu test to macos(webgpu)?
* llm english so much better than me wow
* trigger CI to check flakiness
---------
Co-authored-by: chenyu <[email protected]>
* cast after sum
* comment out skipif
* minor fix
* only test IMAGE
* IMAGE is supported now
* simpler
* simplerr
* only cast if dtype is None
* dont need to change base_imaeg_type
* only cast when dtype is half
* add explicit test
* actually no, workflow seems better
* actually, keep both
* move test
* fix indent
---------
Co-authored-by: Utkarsh Gill <[email protected]>
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
geohot
