---

name: "torch-video-workflows" description: "Routes GluonCV PyTorch action-recognition, video model-zoo, DirectPose, COOT, YACS config, DDP, and smoke-check workflows." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

torch-video-workflows

Use this sub-skill when the user is working with GluonCV's PyTorch side: action recognition, video models, Torch model zoo names, YACS config files, DDP launch helpers, DirectPose, COOT/video-language, or Torch-specific import/runtime failures.

Use this route for

• Instantiating PyTorch video/action models through gluoncv.torch.model_zoo.get_model(cfg).
• Listing Torch model names with gluoncv.torch.model_zoo.get_model_list().
• Creating or editing YACS configs with get_cfg_defaults(name='action_recognition'), coot, or directpose.
• CPU sanity checks for SlowFast, I3D, R(2+1)D, TPN, CSN/IRCSN, and ResNet video models.
• Optional CUDA/DDP planning for train_ddp_pytorch.py, test_ddp_pytorch.py, DirectPose DDP, feature extraction, FLOPS, and FPS scripts.
• Diagnosing missing or incompatible torch, torchvision, Pillow, or decord dependencies.

Do not use this route for

• MXNet model-zoo APIs such as gluoncv.model_zoo.get_model(name, **kwargs). Use ../mxnet-model-zoo/.
• Dataset directory layouts, annotation files, frame lists, and transforms. Use ../data-transforms-datasets/.
• Full command construction for the broad script zoo. Use ../training-evaluation-scripts/.

Read first

• references/torch-models-and-configs.md for verified Torch model-zoo APIs, model families, config patterns, tensor shapes, and script/DDP guidance.
• references/troubleshooting.md for PyTorch import, legacy dependency, CUDA, DDP, pretrained download, and tensor-shape failures.

Skill-owned script

• scripts/torch_video_model_smoke.py — safe helper that creates a GluonCV Torch config, selects a model, disables pretrained weights by default, lists the 48-name registry, and can run a CPU forward pass on a synthetic [N, C, T, H, W] tensor. Add --cuda only when a CUDA-enabled Torch install is actually available.

Typical CPU sanity flow

python sub-skills/torch-video-workflows/scripts/torch_video_model_smoke.py --list-models
python sub-skills/torch-video-workflows/scripts/torch_video_model_smoke.py \
  --model resnet18_v1b_kinetics400 --classes 400 --frames 1 --height 224 --width 224

Expected verified signal for the default CPU smoke is an output tensor shape of (1, 400) for resnet18_v1b_kinetics400 with pretrained=False.

Cross-links

• Route MXNet action-recognition and other GluonCV MXNet models to ../mxnet-model-zoo/.
• Route video dataset/frame-list preparation and transforms to ../data-transforms-datasets/.
• Route full train/eval/inference command templates to ../training-evaluation-scripts/ after model/config choices are known.