WarpConvNet/mkdocs.yml at main · NVlabs/WarpConvNet · GitHub

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site_name: WarpConvNet
site_description: NVIDIA Library for 3D Spatially Sparse Neural Networks and Sparse Convolutions
repo_url: https://github.com/nvlabs/warpconvnet
repo_name: nvlabs/warpconvnet
site_author: NVIDIA
docs_dir: docs
site_dir: site

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nav:
  - Home: index.md
  - Getting Started:
      - Installation: getting_started/installation.md
      - Compilation: getting_started/compilation.md
      - Quick Start: getting_started/quickstart.md
  - Examples:
      - ModelNet: examples/modelnet.md
      - ScanNet: examples/scannet.md
      - MaskFormer (instance seg): examples/maskformer.md
      - TRELLIS.2 Viser Visualizer: examples/trellis2_viser.md
  - Models:
      - Overview: models/index.md
      - PointNet: models/pointnet.md
      - PPAT: models/ppat.md
      - Uni3D: models/uni3d.md
      - DGCNN: models/dgcnn.md
      - PointTransformerV3: models/point_transformer_v3.md
      - MinkUNet: models/mink_unet.md
      - FIGConvNet: models/figconv.md
      - MaskFormer: models/maskformer.md
      - SpaCeFormer: models/space_former.md
  - User Guide:
      - Basic Concepts: user_guide/concepts.md
      - Geometry Types: user_guide/geometry_types.md
      - Geometry Tutorial: user_guide/geometry_tutorial.md
      - Network Tutorial: user_guide/network_tutorial.md
      - Gradient Checkpointing: user_guide/gradient_checkpointing.md
      - Spatially Sparse Convolutions:
          - Overview: user_guide/sparse_convolutions_overview.md
          - Concepts: user_guide/sparse_convolutions.md
          - Variants & API: user_guide/sparse_convolutions_variants.md
          - Internals: user_guide/sparse_convolutions_internals.md
      - Voxel Size Caveats: user_guide/voxel_size_caveats.md
      - Packed Hash Table: user_guide/packed_hash_table.md
      - Auto-Tuning: user_guide/autotune.md
      - Accumulator Precision: user_guide/accumulator_precision.md
      - Point Convolutions: user_guide/point_convolutions.md
      - Bilateral & Permutohedral Filters: user_guide/bilateral_permutohedral_filters.md
      - Dense-CRF Mean-Field: user_guide/crf_dense.md
      - Normalizations: user_guide/normalizations.md
      - Adaptive GEMM Grouping: user_guide/adaptive_gemm_grouping.md
      - Pre-Populate Benchmark Cache: user_guide/populate_benchmark_cache.md
      - Inspect Benchmark Cache: user_guide/inspect_benchmark_cache.md
      - Migrate Benchmark Cache: user_guide/migrate_benchmark_cache.md
      - Troubleshooting: user_guide/troubleshooting.md
  - Diagrams:
      - Geometry Types: diagrams/geometry_types.md
      - API Sequence: diagrams/api_sequence.md
  - API Reference:
      - Core: api/core.md
      - Dataset: api/dataset.md
      - Geometry: api/geometry.md
      - Batched Geometry: api/geometry_batched.md
      - Neural Networks: api/nn.md
      - Neural Network Functionals: api/nn_functional.md
      - Operations: api/ops.md
      - Types: api/types.md
      - Utils: api/utils.md
      - Miscellaneous: api/misc.md
  - Contributing: contributing.md
  - Doc Deployment: deployment.md