fVDB: Added 'projects' directory to include more fully-featured examp…

…le 'batteries included' projects

Added panoptic segmentation project with MaskPLS implementation
Fixed install issue not including `fvdb.optim`
Re-introduced support for Volta&Turing but added errors for use of certain conv backends
Added interpolation functions to VDBTensor

Signed-off-by: Jonathan Swartz <[email protected]>

fvdb/Dockerfile

@@ -12,6 +12,6 @@ RUN  pip install --no-cache-dir -r env/build_requirements.txt
 
 RUN if [ "$MODE" = "production" ]; then \
      MAX_JOBS=$(free -g | awk '/^Mem:/{jobs=int($4/2.5); if(jobs<1) jobs=1; print jobs}')  \
-     TORCH_CUDA_ARCH_LIST="8.0;8.6;8.9+PTX" \
+     TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6+PTX" \
      python setup.py install; \
     fi

fvdb/README.md

@@ -29,7 +29,7 @@ During the project's initial stage of release, it is necessary to [run the build
 
 ** Notes:**
 * Linux is the only platform currently supported (Ubuntu >= 20.04 recommended).
-* A CUDA-capable GPU with Ampere architecture or newer (i.e. compute capability >=8.0) is required to run the CUDA-accelerated operations in ƒVDB.
+* A CUDA-capable GPU with Ampere architecture or newer (i.e. compute capability >=8.0) is recommended to run the CUDA-accelerated operations in ƒVDB.  A GPU with compute capabililty >=7.0 (Volta architecture) is the minimum requirement but some operations and data types are not supported.
 
 
 ## Building *f*VDB from Source
@@ -60,65 +60,50 @@ docker build --build-arg  MODE=dev -t fvdb/dev .
 Running the docker container is done with the following command:
 ```shell
 # Run an interactive bash shell (or replace with your command)
-docker run -it --gpus all --rm \
+docker run -it --ipc=host --gpus all --rm \
   fvdb/dev:latest \
   /bin/bash
 ```
 
 When running the docker container in `dev` mode and when you are ready to build ƒVDB, you can run the following command to build ƒVDB for the recommended set of CUDA architectures:
 ```shell
 MAX_JOBS=$(free -g | awk '/^Mem:/{jobs=int($4/2.5); if(jobs<1) jobs=1; print jobs}')  \
-     TORCH_CUDA_ARCH_LIST="8.0;8.6;8.9+PTX" \
+     TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6+PTX" \
      python setup.py install
 ```
 
 #### Setting up a Conda Environment
 
-In order to get resolved package versions in your conda environment consistent with our testing, it is necessary to configure your `.condarc` since not all package resolving behaviour can be controlled with an `environment.yml` file.  We recommend using `strict` channel priority in your conda configuration.  This can be done by running the following command:
+*f*VDB can be used with any Conda distribution. Below is an installation guide using
+[miniforge](https://github.com/conda-forge/miniforge). You can skip steps 1-3 if you already have a Conda installation.
 
-```shell
-conda config --set channel_priority strict
-```
-
-Further, it is recommend to not mix the `defaults` and `conda-forge` package channels when resolving environments.  We have generally used `conda-forge` as the primary channel for our dependencies.  You can remove the `defaults` channel and add `conda-forge` with the following command:
+1. Download and Run Install Script. Copy the command below to download and run the [miniforge install script](https://github.com/conda-forge/miniforge?tab=readme-ov-file#unix-like-platforms-macos--linux):
 
 ```shell
-conda config --remove channels defaults
-conda config --add channels conda-forge
-```
-
-With these changes, it is recommended that your `.condarc` file looks like the following:
-
-```yaml
-channel_priority: strict
-channels:
-  - conda-forge
+curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
+bash Miniforge3-$(uname)-$(uname -m).sh
 ```
 
+2. Follow the prompts to customize Conda and run the install. Note, we recommend saying yes to enable `conda-init`.
 
-**(Optional) Install libMamba for a huge quality of life improvement when using Conda**
-```
-conda update -n base conda
-conda install -n base conda-libmamba-solver
-conda config --set solver libmamba
-```
+3. Start Conda. Open a new terminal window, which should now show Conda initialized to the `(base)` environment.
 
+4. Create the `fvdb` conda environment. Run the following command from the root of this repository:
 
-Next, create the `fvdb` conda environment by running the following command from the root of this repository, and then grabbing a ☕:
 ```shell
 conda env create -f env/dev_environment.yml
 ```
 
-**Notes:**
-* You can optionally use the `env/build_environment.yml` environment file if you want a minimum set of dependencies needed just to build/package *f*VDB (note this environment won't have all the runtime dependencies needed to `import fvdb`).
-* If you would like a runtime environment which has only the packages required to run the unit tests after building ƒVDB, you can use the `env/test_environment.yml`.  This is the environment used by the CI pipeline to run the tests after building ƒVDB in the `fvdb_build` environment.
-* Use the `fvdb_learn` environment defined in `env/learn_environment.yml` if you would like an environment with the runtime requirements and the additional packages needed to run the [notebooks](notebooks) or [examples](examples) and view their visualizations.
+5. Activate the *f*VDB environment:
 
-Now activate the environment:
 ```shell
 conda activate fvdb
 ```
 
+#### Other available environments
+* `fvdb_build`: Use `env/build_environment.yml` for a minimum set of dependencies needed just to build/package *f*VDB (note this environment won't have all the runtime dependencies needed to `import fvdb`).
+* `fvdb_test`: Use `env/test_environment.yml` for a runtime environment which has only the packages required to run the unit tests after building ƒVDB. This is the environment used by the CI pipeline to run the tests after building ƒVDB in the `fvdb_build` environment.
+* `fvdb_learn`: Use `env/learn_environment.yml` for additional runtime requirements and packages needed to run the [notebooks](notebooks) or [examples](examples) and view their visualizations.
 
 ### Building *f*VDB
 
@@ -254,4 +239,4 @@ Please consider citing this when using *f*VDB in a project. You can use the cita
 }
 ```
 
-## Contact
+## Contact

fvdb/ci/main.sh

@@ -1,3 +1,6 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 # Running a Github Action Runner, the first argument
 
 # Starting a dockerd

fvdb/examples/3dgs/accumulate_depths.py

@@ -1,4 +1,6 @@
-import matplotlib.pyplot as plt
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 import numpy as np
 import point_cloud_utils as pcu
 import torch

fvdb/examples/3dgs/download_example_data.py

@@ -1,4 +1,7 @@
 #!/usr/bin/env python
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 """Script to download benchmark dataset(s)"""
 
 import os

fvdb/examples/3dgs/evaluate_colmap.py

@@ -1,3 +1,6 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 import time
 from typing import Optional, Union
 

fvdb/examples/3dgs/make_segmentation_dataset.py

@@ -1,3 +1,6 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 import torch
 import torch.utils.data
 import tqdm

fvdb/examples/3dgs/resume_colmap.py

@@ -1,3 +1,6 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 from typing import Optional, Union
 
 import torch

fvdb/examples/3dgs/train_colmap.py

@@ -1,3 +1,6 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 import itertools
 import json
 import logging

fvdb/examples/3dgs/train_segmentation.py

@@ -1,9 +1,12 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
+
 import itertools
 import time
 from dataclasses import dataclass
 from typing import Union
 
-import matplotlib.pyplot as plt
 import torch
 import tqdm
 import tyro

fvdb/examples/3dgs/utils.py

@@ -1,3 +1,6 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 import torch
 import torch.nn.functional as F
 

fvdb/examples/3dgs/viz.py

@@ -1,3 +1,6 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 import dataclasses
 import os
 import sys

fvdb/fvdb/nn/modules.py

@@ -268,11 +268,27 @@ def _dispatch_conv(self, in_feature, in_grid, in_kmap, out_grid):
 
         backend = self.backend
 
+        sm_arch = torch.cuda.get_device_capability()[0] + torch.cuda.get_device_capability()[1] / 10
+        # tf32 requires compute capability >= 8.0 (Ampere)
         if self.allow_tf32 and self.weight.is_cuda:
             assert (
-                torch.cuda.get_device_capability()[0] >= 8
+                sm_arch >= 8
             ), "TF32 requires GPU with compute capability >= 8.0. Please set fvdb.nn.SparseConv3d.allow_tf32 = False."
 
+        # bf16 requires compute capability >= 8.0 (Ampere)
+        if self.weight.is_cuda and self.weight.dtype == torch.bfloat16:
+            assert sm_arch >= 8, "BF16 requires GPU with compute capability >= 8.0."
+
+        # float16 requires compute capability >= 7.5 (Turing)
+        if self.weight.is_cuda and self.weight.dtype == torch.float16:
+            assert sm_arch >= 7.5, "FP16 requires GPU with compute capability >= 7.5."
+
+        # cutlass, lggs, halo backends require compute capability >= 8.0 (Ampere)
+        if backend in ["cutlass", "lggs", "halo"]:
+            assert (
+                torch.cuda.get_device_capability()[0] >= 8
+            ), "cutlass, LGGS and Halo backends require GPU with compute capability >= 8.0."
+
         if backend == "cutlass" and (
             (not self.weight.is_cuda) or (self.in_channels, self.out_channels) not in self.CUTLASS_SUPPORTED_CHANNELS
         ):

fvdb/fvdb/nn/vdbtensor.py

@@ -2,14 +2,16 @@
 # SPDX-License-Identifier: Apache-2.0
 #
 from dataclasses import dataclass
-from typing import Any, Optional, Union
+from typing import Any, Optional, Tuple, Union
 
 import torch
 
 import fvdb
 from fvdb import GridBatch, JaggedTensor, SparseConvPackInfo
 from fvdb.types import Vec3dBatch, Vec3dBatchOrScalar, Vec3i
 
+JaggedTensorOrTensor = Union[torch.Tensor, JaggedTensor]
+
 
 @dataclass
 class VDBTensor:
@@ -204,6 +206,22 @@ def _binop_inplace(self, other, op):
             op(self.data, other)
             return self
 
+    # -----------------------
+    # Interpolation functions
+    # -----------------------
+
+    def sample_bezier(self, points: JaggedTensorOrTensor) -> JaggedTensor:
+        return self.grid.sample_bezier(points, self.data)
+
+    def sample_bezier_with_grad(self, points: JaggedTensorOrTensor) -> Tuple[JaggedTensor, JaggedTensor]:
+        return self.grid.sample_bezier_with_grad(points, self.data)
+
+    def sample_trilinear(self, points: JaggedTensorOrTensor) -> JaggedTensor:
+        return self.grid.sample_trilinear(points, self.data)
+
+    def sample_trilinear_with_grad(self, points: JaggedTensorOrTensor) -> Tuple[JaggedTensor, JaggedTensor]:
+        return self.grid.sample_trilinear_with_grad(points, self.data)
+
     def cpu(self):
         return VDBTensor(self.grid.to("cpu"), self.data.cpu(), self.kmap.cpu() if self.kmap is not None else None)
 

fvdb/fvdb/types.py

@@ -1,5 +1,10 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
+
 from __future__ import annotations
-from typing import List, Tuple, Union, Iterable
+
+from typing import Iterable, List, Tuple, Union
 
 import numpy
 import torch

fvdb/fvdb/utils/data/_colmap_utils/__init__.py

@@ -1,3 +1,6 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 from .camera import Camera
 from .database import COLMAPDatabase
 from .image import Image

fvdb/fvdb/utils/data/_colmap_utils/camera.py

@@ -1,4 +1,6 @@
 # Author: True Price <jtprice at cs.unc.edu>
+# SPDX-License-Identifier: Apache-2.0
+#
 
 import numpy as np
 from scipy.optimize import root

fvdb/fvdb/utils/data/_colmap_utils/database.py

@@ -1,4 +1,6 @@
-import os
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 import sqlite3
 
 import numpy as np

fvdb/fvdb/utils/data/_colmap_utils/image.py

@@ -1,5 +1,6 @@
+# SPDX-License-Identifier: Apache-2.0
 # Author: True Price <jtprice at cs.unc.edu>
-
+#
 import numpy as np
 
 # -------------------------------------------------------------------------------

fvdb/fvdb/utils/data/_colmap_utils/rotation.py

@@ -1,4 +1,6 @@
+# SPDX-License-Identifier: Apache-2.0
 # Author: True Price <jtprice at cs.unc.edu>
+#
 
 import numpy as np
 

fvdb/fvdb/utils/data/_colmap_utils/scene_manager.py

@@ -1,4 +1,6 @@
+# SPDX-License-Identifier: Apache-2.0
 # Author: True Price <jtprice at cs.unc.edu>
+#
 
 import array
 import os

fvdb/fvdb/utils/data/_colmap_utils/tools/colmap_to_nvm.py

@@ -1,10 +1,12 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
+
 import itertools
 import sys
 
 sys.path.append("..")
 
-import numpy as np
-
 from .. import Quaternion, SceneManager
 
 # -------------------------------------------------------------------------------

fvdb/fvdb/utils/data/_colmap_utils/tools/delete_images.py

@@ -1,9 +1,11 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
+
 import sys
 
 sys.path.append("..")
 
-import numpy as np
-
 from .. import DualQuaternion, Image, SceneManager
 
 # -------------------------------------------------------------------------------

fvdb/fvdb/utils/data/_colmap_utils/tools/impute_missing_cameras.py

@@ -1,9 +1,11 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
+
 import sys
 
 sys.path.append("..")
 
-import numpy as np
-
 from .. import DualQuaternion, Image, SceneManager
 
 # -------------------------------------------------------------------------------

fvdb/fvdb/utils/data/_colmap_utils/tools/save_cameras_as_ply.py

@@ -1,9 +1,11 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
+
 import sys
 
 sys.path.append("..")
 
-import os
-
 import numpy as np
 
 from .. import SceneManager

fvdb/fvdb/utils/data/_colmap_utils/tools/transform_model.py

@@ -1,3 +1,7 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
+
 import sys
 
 sys.path.append("..")

fvdb/fvdb/utils/data/_colmap_utils/tools/write_camera_track_to_bundler.py

@@ -1,9 +1,11 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
+
 import sys
 
 sys.path.append("..")
 
-import numpy as np
-
 from .. import SceneManager
 
 # -------------------------------------------------------------------------------

fvdb/fvdb/utils/data/_colmap_utils/tools/write_depthmap_to_ply.py

@@ -1,3 +1,6 @@
+# Copyright Contributors to the OpenVDB Project
+# SPDX-License-Identifier: Apache-2.0
+#
 import sys
 
 sys.path.append("..")