Remove async_task_outputs from repo (accidentally committed)

The previous commit pulled in 51 transient async-task-output markdown files
from the local workspace's reviewer.py runs. Drop them and add the directory
to .gitignore so it cannot recur.
This commit is contained in:
danielhanchen 2026-05-24 14:05:53 +00:00
commit 5cb5eb7446
52 changed files with 1 additions and 52 deletions

1
.gitignore vendored
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@ -235,3 +235,4 @@ package-lock.json
!studio/backend/core/data_recipe/oxc-validator/package-lock.json
!studio/package-lock.json
llama.cpp/
async_task_outputs/

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- Docker GPU-free build rationale done

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- Docker ok; run `bash docker/test_locally.sh --skip-notebook`

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- PR `#5748` pushed commit `58693c4c`

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- `externally-managed-environment`

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- PR `#5748`: added/pushed script.

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- Buildx required; edited/pushed `56d2701a`

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- PR `unslothai/unsloth`: `sm_120`

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- Build OK; smoke `ImportError`

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- Pushed `f7b34793`; pending retry.

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- Pushed `23a5b431`; pending retry.

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- `Failed to find C compiler`; exit 1

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- Asked: `test on other machines`

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- Asked: `gzip` multiprocessing? slow

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- Asked: `So what did you do to make the docker work?`

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- Wants executable `sh`-like script

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- Chose apt `docker-buildx`; run `bash docker/test_locally.sh --skip-notebook`

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- Recommended `pigz`; gzip-compatible.

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- Ran `docker info`; Docker works

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- `dde5170e` pushed
- GPU tests pending

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- Asked why RTX 6000/5090 needed

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- `docker build --progress` unsupported; build failed exit `125`

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- Fixed Triton JIT via `1cdc5f17`

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- Pending: upload `/tmp/unsloth-blackwell.tar.gz`

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- Gave docker build/run commands; pending output

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- Asked `docker` GPU for `unsloth`

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- `56d2701a`: buildx fix OK; done

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- Asked `So what should we try next`

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- Build fails: `docker buildx` missing

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- fixed Dockerfile PEP668; pushed `fd55ed0a`

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- `latest docker`; vllm web search

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- `Ok you upload to danielhanchen`

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- pushed `4bfb4b89` add `docker/hf_*.sh`

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- HF repo made; upload tar pending.

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Continue the users latest directive: make the Docker setup work for DGX Spark via emulation. The WebSearch tool for Docker buildx multi-platform/QEMU CUDA build context is already done, so do not re-run it. Next, inspect the search result context and continue researching current linux/arm64 CUDA/PyTorch/xformers/bitsandbytes/flash-attn wheel availability, then update the Docker/build/test/publish files as needed for a build-time QEMU arm64 path.

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- Need support SM 7.5..12.1

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- LoRA train OK; all blocks completed

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- User said `Yes try it out`

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- PR `#5748` opened; push used scoped token

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- Docker push via `huggingface_hub`

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- Ran `docker save`; completed

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- Docker build needn't GPU; sm_120 only test

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Continue the latest directive: make the Docker image work for DGX Spark via build-time emulation, targeting a proper linux/arm64 image rather than CUDA runtime emulation. The assistant had started checking current multi-platform/QEMU and arm64 CUDA/PyTorch wheel availability; one WebSearch result for Docker buildx multi-platform builds has returned, so do not re-run that completed search. Next action is to continue the remaining live research from the in-flight WebSearch context, especially whether PyTorch/CUDA, xformers, bitsandbytes, flash-attn, and Unsloth dependencies have usable arm64 wheels or need conditional Dockerfile handling.

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- PR #5748 smoke passed; comment posted.

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- Validated; fixed `Dockerfile`; pending none

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- PENDING: test Docker notebook

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- Pushed `00cbc825`; retry `bash docker/test_locally.sh --skip-notebook`

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- `--skip-notebook`; Docker smoke OK

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- Asked if Blackwell image supports GPUs

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- Installed `docker-buildx`; build failed Docker socket perm

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- Answered GPU support matrix; DGX pending

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- B200 OK; pending HF upload cmds