track_env — TrackingAnything training environment

Public environment-image release: large-cu128-wandb-v1, built 2026-10-03. Repository: jeffry77/track_env. Renamed from jeffry77/tracking_anything_env; the versioned artifact and its SHA256 are unchanged. This is an Apptainer SIF, not model weights or a dataset. The full TrackingAnything large-training project must be obtained separately.

Artifact

• File: tracking-anything-large-cu128-wandb-v1.sif
• Size: 10,113,572,864 bytes (approximately 9.42 GiB)
• SHA256: d1af2707df2bf5424c54fb4931b0a14424fdd37a26e3343f833fb05855b65784
• Build/runtime tooling checked: Apptainer 1.4.5, Linux x86_64.

Component	Version / behavior
Python	3.10
CUDA base / PyTorch CUDA	12.8.1 / 12.8
PyTorch / torchvision	2.7.1+cu128 / 0.22.1+cu128
Transformers / PEFT	4.57.1 / 0.12.0
Liger	0.3.1
Attention backend	SDPA; no external FlashAttention
W&B	0.22.2; default mode online; credentials supplied at runtime
HTTP SOCKS support	requests 2.32.5 / PySocks 1.7.1

This preserves the original Blackwell environment and supplies a new versioned image plus explicit two-node launch wrappers. It does not include project code, model weights, datasets, login caches, or user credentials. Build dependencies and distribution licenses remain those of their respective upstream packages; this release does not relicense NVIDIA CUDA/cuDNN or other bundled components.

Download and verify

No Hugging Face login is required to download this public environment. Credentials for W&B, private models or restricted datasets remain separate; do not put them in source files or the image.

hf download jeffry77/track_env --local-dir ./tracking-anything-env
cd tracking-anything-env
sha256sum -c tracking-anything-large-cu128-wandb-v1.sif.sha256

# CPU dependency check; does not initialize W&B or allocate a GPU.
apptainer exec --cleanenv --no-home tracking-anything-large-cu128-wandb-v1.sif \
  /opt/venv/bin/python /opt/tracking-anything-env/check_large_env.py

Use with the full training project

# These must be shared, identical absolute paths on both nodes.
export PROJECT_DIR=/shared/TrackingAnything-large-training
export IMAGE=/shared/tracking-anything-env/tracking-anything-large-cu128-wandb-v1.sif
export DATA_DIR=/shared/datasets
export MODEL_DIR=/shared/models
export CONTAINER_CACHE_DIR=/shared/user-cache/tracking-anything
export PYTHON_BIN="$PROJECT_DIR/apptainer/python.sh"
chmod +x "$PYTHON_BIN"
export WANDB_MODE=online
# Supply WANDB_API_KEY securely, or use WANDB_NETRC_FILE as documented.

cd "$PROJECT_DIR"
GPUS=none "$PYTHON_BIN" scripts/preflight_large_training.py --require-wandb --deep-cache --require-2x8
sbatch --export=ALL --partition=YOUR_PRO6000_PARTITION scripts/train_2node_16gpu.slurm

Complete native-data preparation, initialization and training configuration before preflight, including the training-mode Check0 report. Use the current project's runtime wrappers so code-level asset/mount fixes stay current without rebuilding this image. The image alone cannot supply these artifacts. See the detailed environment guide for same-path binds, W&B offline mode, secrets handling and NCCL/RoCE settings.

Verification scope

The derivative passed build-time CPU dependency checks. Post-build runtime checks confirm the new profile, W&B online default and expected package versions. The SIF checksum was also verified after transfer from the build machine.

Not yet validated: this derivative's full-model GPU training/inference, RTX PRO 6000 multi-GPU kernels, 16-GPU/two-node NCCL or RoCE throughput, and online W&B logging. Historical single-GPU synthetic checks on the base image are not a substitute. Use an allocated target-cluster smoke before formal training. No speed, convergence, or tracking-accuracy result is claimed here.

Apptainer preserves some inherited OCI labels (including Ubuntu/base-profile labels). The release filename, this checksum, and /opt/tracking-anything-env/large-profile identify this derivative; inherited base labels alone do not identify the release.

Rebuild

The included definition builds a derivative from the exact original baseline SIF with SHA256 9f854044eeebe8475e22363d94569f85c02eba40743a6feda27c655372a28101. That separate base image is required only for rebuilding, not for executing this standalone SIF. Build scripts verify the base and refuse to overwrite existing outputs. Credentials must never be embedded during rebuild or upload.