MKL version fix in CI (#1820 )

Summary: Fix for "undefined symbol: iJIT_NotifyEvent" build issue, Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1820 Differential Revision: D58685326
Allow indexing for classes inheriting Transform3d (#1801 )
2026-02-26 16:26:00 +08:00 · 2024-06-20 09:24:07 -07:00 · 2024-06-17 07:48:18 -07:00 · 2024-06-17 07:09:30 -07:00 · 2024-06-17 06:00:13 -07:00 · 2024-06-17 05:57:59 -07:00
242 changed files with 1578 additions and 378 deletions
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -302,6 +302,34 @@ workflows:
          name: linux_conda_py38_cu121_pyt220
          python_version: '3.8'
          pytorch_version: 2.2.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py38_cu118_pyt222
+          python_version: '3.8'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py38_cu121_pyt222
+          python_version: '3.8'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py38_cu118_pyt231
+          python_version: '3.8'
+          pytorch_version: 2.3.1
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py38_cu121_pyt231
+          python_version: '3.8'
+          pytorch_version: 2.3.1
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
@@ -442,6 +470,34 @@ workflows:
          name: linux_conda_py39_cu121_pyt220
          python_version: '3.9'
          pytorch_version: 2.2.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py39_cu118_pyt222
+          python_version: '3.9'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py39_cu121_pyt222
+          python_version: '3.9'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py39_cu118_pyt231
+          python_version: '3.9'
+          pytorch_version: 2.3.1
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py39_cu121_pyt231
+          python_version: '3.9'
+          pytorch_version: 2.3.1
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
@@ -582,6 +638,34 @@ workflows:
          name: linux_conda_py310_cu121_pyt220
          python_version: '3.10'
          pytorch_version: 2.2.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py310_cu118_pyt222
+          python_version: '3.10'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py310_cu121_pyt222
+          python_version: '3.10'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py310_cu118_pyt231
+          python_version: '3.10'
+          pytorch_version: 2.3.1
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py310_cu121_pyt231
+          python_version: '3.10'
+          pytorch_version: 2.3.1
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda118
          context: DOCKERHUB_TOKEN
@@ -638,6 +722,34 @@ workflows:
          name: linux_conda_py311_cu121_pyt220
          python_version: '3.11'
          pytorch_version: 2.2.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py311_cu118_pyt222
+          python_version: '3.11'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py311_cu121_pyt222
+          python_version: '3.11'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py311_cu118_pyt231
+          python_version: '3.11'
+          pytorch_version: 2.3.1
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py311_cu121_pyt231
+          python_version: '3.11'
+          pytorch_version: 2.3.1
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda118
          context: DOCKERHUB_TOKEN
@@ -652,6 +764,34 @@ workflows:
          name: linux_conda_py312_cu121_pyt220
          python_version: '3.12'
          pytorch_version: 2.2.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py312_cu118_pyt222
+          python_version: '3.12'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py312_cu121_pyt222
+          python_version: '3.12'
+          pytorch_version: 2.2.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda118
+          context: DOCKERHUB_TOKEN
+          cu_version: cu118
+          name: linux_conda_py312_cu118_pyt231
+          python_version: '3.12'
+          pytorch_version: 2.3.1
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda121
+          context: DOCKERHUB_TOKEN
+          cu_version: cu121
+          name: linux_conda_py312_cu121_pyt231
+          python_version: '3.12'
+          pytorch_version: 2.3.1
      - binary_linux_conda_cuda:
          name: testrun_conda_cuda_py310_cu117_pyt201
          context: DOCKERHUB_TOKEN
--- a/.circleci/regenerate.py
+++ b/.circleci/regenerate.py
@@ -29,6 +29,8 @@ CONDA_CUDA_VERSIONS = {
    "2.1.1": ["cu118", "cu121"],
    "2.1.2": ["cu118", "cu121"],
    "2.2.0": ["cu118", "cu121"],
+    "2.2.2": ["cu118", "cu121"],
+    "2.3.1": ["cu118", "cu121"],
 }


--- a/INSTALL.md
+++ b/INSTALL.md
@@ -9,7 +9,7 @@ The core library is written in PyTorch. Several components have underlying imple

 - Linux or macOS or Windows
 - Python 3.8, 3.9 or 3.10
- PyTorch 1.12.0, 1.12.1, 1.13.0, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2 or 2.2.0.
+- PyTorch 1.12.0, 1.12.1, 1.13.0, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0 or 2.3.1.
 - torchvision that matches the PyTorch installation. You can install them together as explained at pytorch.org to make sure of this.
 - gcc & g++ ≥ 4.9
 - [fvcore](https://github.com/facebookresearch/fvcore)
--- a/docs/tutorials/bundle_adjustment.ipynb
+++ b/docs/tutorials/bundle_adjustment.ipynb
@@ -83,14 +83,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -98,9 +97,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
--- a/docs/tutorials/camera_position_optimization_with_differentiable_rendering.ipynb
+++ b/docs/tutorials/camera_position_optimization_with_differentiable_rendering.ipynb
@@ -70,14 +70,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -85,9 +84,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
--- a/docs/tutorials/dataloaders_ShapeNetCore_R2N2.ipynb
+++ b/docs/tutorials/dataloaders_ShapeNetCore_R2N2.ipynb
@@ -45,14 +45,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -60,9 +59,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
@@ -405,7 +411,7 @@
   "outputs": [],
   "source": [
    "random_model_images = shapenet_dataset.render(\n",
-    "    sample_nums=[3],\n",
+    "    sample_nums=[5],\n",
    "    device=device,\n",
    "    cameras=cameras,\n",
    "    raster_settings=raster_settings,\n",
--- a/docs/tutorials/deform_source_mesh_to_target_mesh.ipynb
+++ b/docs/tutorials/deform_source_mesh_to_target_mesh.ipynb
@@ -84,14 +84,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -99,9 +98,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
--- a/docs/tutorials/fit_simple_neural_radiance_field.ipynb
+++ b/docs/tutorials/fit_simple_neural_radiance_field.ipynb
@@ -50,14 +50,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -65,9 +64,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
--- a/docs/tutorials/fit_textured_mesh.ipynb
+++ b/docs/tutorials/fit_textured_mesh.ipynb
@@ -62,14 +62,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -77,9 +76,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
--- a/docs/tutorials/fit_textured_volume.ipynb
+++ b/docs/tutorials/fit_textured_volume.ipynb
@@ -41,14 +41,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -56,9 +55,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
--- a/docs/tutorials/implicitron_config_system.ipynb
+++ b/docs/tutorials/implicitron_config_system.ipynb
@@ -72,14 +72,13 @@
        "import os\n",
        "import sys\n",
        "import torch\n",
+        "import subprocess\n",
        "need_pytorch3d=False\n",
        "try:\n",
        "    import pytorch3d\n",
        "except ModuleNotFoundError:\n",
        "    need_pytorch3d=True\n",
        "if need_pytorch3d:\n",
-        "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-        "        # We try to install PyTorch3D via a released wheel.\n",
        "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
        "    version_str=\"\".join([\n",
        "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -87,9 +86,16 @@
        "        f\"_pyt{pyt_version_str}\"\n",
        "    ])\n",
        "    !pip install fvcore iopath\n",
+        "    if sys.platform.startswith(\"linux\"):\n",
+        "        print(\"Trying to install wheel for PyTorch3D\")\n",
        "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-        "    else:\n",
-        "        # We try to install PyTorch3D from source.\n",
+        "        pip_list = !pip freeze\n",
+        "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+        "    if need_pytorch3d:\n",
+        "        print(f\"failed to find/install wheel for {version_str}\")\n",
+        "if need_pytorch3d:\n",
+        "    print(\"Installing PyTorch3D from source\")\n",
+        "    !pip install ninja\n",
        "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
      ]
    },
--- a/docs/tutorials/implicitron_volumes.ipynb
+++ b/docs/tutorials/implicitron_volumes.ipynb
@@ -66,14 +66,13 @@
        "import os\n",
        "import sys\n",
        "import torch\n",
+        "import subprocess\n",
        "need_pytorch3d=False\n",
        "try:\n",
        "    import pytorch3d\n",
        "except ModuleNotFoundError:\n",
        "    need_pytorch3d=True\n",
        "if need_pytorch3d:\n",
-        "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-        "        # We try to install PyTorch3D via a released wheel.\n",
        "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
        "    version_str=\"\".join([\n",
        "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -81,9 +80,16 @@
        "        f\"_pyt{pyt_version_str}\"\n",
        "    ])\n",
        "    !pip install fvcore iopath\n",
+        "    if sys.platform.startswith(\"linux\"):\n",
+        "        print(\"Trying to install wheel for PyTorch3D\")\n",
        "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-        "    else:\n",
-        "        # We try to install PyTorch3D from source.\n",
+        "        pip_list = !pip freeze\n",
+        "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+        "    if need_pytorch3d:\n",
+        "        print(f\"failed to find/install wheel for {version_str}\")\n",
+        "if need_pytorch3d:\n",
+        "    print(\"Installing PyTorch3D from source\")\n",
+        "    !pip install ninja\n",
        "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
      ]
    },
--- a/docs/tutorials/render_colored_points.ipynb
+++ b/docs/tutorials/render_colored_points.ipynb
@@ -44,14 +44,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -59,9 +58,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
--- a/docs/tutorials/render_densepose.ipynb
+++ b/docs/tutorials/render_densepose.ipynb
@@ -51,14 +51,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -66,9 +65,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
--- a/docs/tutorials/render_textured_meshes.ipynb
+++ b/docs/tutorials/render_textured_meshes.ipynb
@@ -67,14 +67,13 @@
    "import os\n",
    "import sys\n",
    "import torch\n",
+    "import subprocess\n",
    "need_pytorch3d=False\n",
    "try:\n",
    "    import pytorch3d\n",
    "except ModuleNotFoundError:\n",
    "    need_pytorch3d=True\n",
    "if need_pytorch3d:\n",
-    "    if torch.__version__.startswith(\"2.2.\") and sys.platform.startswith(\"linux\"):\n",
-    "        # We try to install PyTorch3D via a released wheel.\n",
    "    pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
    "    version_str=\"\".join([\n",
    "        f\"py3{sys.version_info.minor}_cu\",\n",
@@ -82,9 +81,16 @@
    "        f\"_pyt{pyt_version_str}\"\n",
    "    ])\n",
    "    !pip install fvcore iopath\n",
+    "    if sys.platform.startswith(\"linux\"):\n",
+    "        print(\"Trying to install wheel for PyTorch3D\")\n",
    "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
-    "    else:\n",
-    "        # We try to install PyTorch3D from source.\n",
+    "        pip_list = !pip freeze\n",
+    "        need_pytorch3d = not any(i.startswith(\"pytorch3d==\") for  i in pip_list)\n",
+    "    if need_pytorch3d:\n",
+    "        print(f\"failed to find/install wheel for {version_str}\")\n",
+    "if need_pytorch3d:\n",
+    "    print(\"Installing PyTorch3D from source\")\n",
+    "    !pip install ninja\n",
    "    !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
   ]
  },
--- a/packaging/build_conda.py
+++ b/packaging/build_conda.py
@@ -80,6 +80,12 @@ def setup_cuda():
 def setup_conda_pytorch_constraint() -> List[str]:
    pytorch_constraint = f"- pytorch=={PYTORCH_VERSION}"
    os.environ["CONDA_PYTORCH_CONSTRAINT"] = pytorch_constraint
+    if pytorch_major_minor < (2, 2):
+        os.environ["CONDA_PYTORCH_MKL_CONSTRAINT"] = "- mkl!=2024.1.0"
+        os.environ["SETUPTOOLS_CONSTRAINT"] = "- setuptools<70"
+    else:
+        os.environ["CONDA_PYTORCH_MKL_CONSTRAINT"] = ""
+        os.environ["SETUPTOOLS_CONSTRAINT"] = "- setuptools"
    os.environ["CONDA_PYTORCH_BUILD_CONSTRAINT"] = pytorch_constraint
    os.environ["PYTORCH_VERSION_NODOT"] = PYTORCH_VERSION.replace(".", "")

--- a/packaging/pytorch3d/meta.yaml
+++ b/packaging/pytorch3d/meta.yaml
@@ -12,8 +12,9 @@ requirements:

  host:
    - python
-    - setuptools
+    {{ environ.get('SETUPTOOLS_CONSTRAINT') }}
    {{ environ.get('CONDA_PYTORCH_BUILD_CONSTRAINT') }}
+    {{ environ.get('CONDA_PYTORCH_MKL_CONSTRAINT') }}
    {{ environ.get('CONDA_CUDATOOLKIT_CONSTRAINT') }}
    {{ environ.get('CONDA_CPUONLY_FEATURE') }}

--- a/projects/implicitron_trainer/init.py
+++ b/projects/implicitron_trainer/init.py
@@ -3,3 +3,5 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
--- a/projects/implicitron_trainer/experiment.py
+++ b/projects/implicitron_trainer/experiment.py
@@ -5,6 +5,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 """"
 This file is the entry point for launching experiments with Implicitron.

--- a/projects/implicitron_trainer/impl/init.py
+++ b/projects/implicitron_trainer/impl/init.py
@@ -3,3 +3,5 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
--- a/projects/implicitron_trainer/impl/model_factory.py
+++ b/projects/implicitron_trainer/impl/model_factory.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import logging
 import os
 from typing import Optional
--- a/projects/implicitron_trainer/impl/optimizer_factory.py
+++ b/projects/implicitron_trainer/impl/optimizer_factory.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import inspect
 import logging
 import os
--- a/projects/implicitron_trainer/impl/training_loop.py
+++ b/projects/implicitron_trainer/impl/training_loop.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import logging
 import os
 import time
--- a/projects/implicitron_trainer/impl/utils.py
+++ b/projects/implicitron_trainer/impl/utils.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import random

--- a/projects/implicitron_trainer/tests/init.py
+++ b/projects/implicitron_trainer/tests/init.py
@@ -3,3 +3,5 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
--- a/projects/implicitron_trainer/tests/test_experiment.py
+++ b/projects/implicitron_trainer/tests/test_experiment.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import os
 import tempfile
 import unittest
--- a/projects/implicitron_trainer/tests/test_optimizer_factory.py
+++ b/projects/implicitron_trainer/tests/test_optimizer_factory.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import logging
 import os
 import unittest
--- a/projects/implicitron_trainer/tests/test_visualize.py
+++ b/projects/implicitron_trainer/tests/test_visualize.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import os
 import unittest

--- a/projects/implicitron_trainer/tests/utils.py
+++ b/projects/implicitron_trainer/tests/utils.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import contextlib
 import logging
 import os
--- a/projects/implicitron_trainer/visualize_reconstruction.py
+++ b/projects/implicitron_trainer/visualize_reconstruction.py
@@ -5,6 +5,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 """
 Script to visualize a previously trained model. Example call:

--- a/projects/nerf/nerf/nerf_renderer.py
+++ b/projects/nerf/nerf/nerf_renderer.py
@@ -343,12 +343,14 @@ class RadianceFieldRenderer(torch.nn.Module):
            # For a full render pass concatenate the output chunks,
            # and reshape to image size.
            out = {
-                k: torch.cat(
+                k: (
+                    torch.cat(
                        [ch_o[k] for ch_o in chunk_outputs],
                        dim=1,
                    ).view(-1, *self._image_size, 3)
                    if chunk_outputs[0][k] is not None
                    else None
+                )
                for k in ("rgb_fine", "rgb_coarse", "rgb_gt")
            }
        else:
--- a/pytorch3d/init.py
+++ b/pytorch3d/init.py
@@ -4,4 +4,6 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 __version__ = "0.7.6"
--- a/pytorch3d/common/init.py
+++ b/pytorch3d/common/init.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from .datatypes import Device, get_device, make_device


--- a/pytorch3d/common/compat.py
+++ b/pytorch3d/common/compat.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from typing import Sequence, Tuple, Union

 import torch
--- a/pytorch3d/common/datatypes.py
+++ b/pytorch3d/common/datatypes.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from typing import Optional, Union

 import torch
--- a/pytorch3d/common/linear_with_repeat.py
+++ b/pytorch3d/common/linear_with_repeat.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import math
 from typing import Tuple

--- a/pytorch3d/common/workaround/init.py
+++ b/pytorch3d/common/workaround/init.py
@@ -4,5 +4,7 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from .symeig3x3 import symeig3x3
 from .utils import _safe_det_3x3
--- a/pytorch3d/common/workaround/symeig3x3.py
+++ b/pytorch3d/common/workaround/symeig3x3.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import math
 from typing import Optional, Tuple

--- a/pytorch3d/common/workaround/utils.py
+++ b/pytorch3d/common/workaround/utils.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import torch

--- a/pytorch3d/csrc/knn/knn.cu
+++ b/pytorch3d/csrc/knn/knn.cu
@@ -338,7 +338,7 @@ std::tuple<at::Tensor, at::Tensor> KNearestNeighborIdxCuda(

  TORCH_CHECK((norm == 1) || (norm == 2), "Norm must be 1 or 2.");

-  TORCH_CHECK(p2.size(2) == D, "Point sets must have the same last dimension");
+  TORCH_CHECK(p1.size(2) == D, "Point sets must have the same last dimension");
  auto long_dtype = lengths1.options().dtype(at::kLong);
  auto idxs = at::zeros({N, P1, K}, long_dtype);
  auto dists = at::zeros({N, P1, K}, p1.options());
--- a/pytorch3d/csrc/marching_cubes/marching_cubes.cu
+++ b/pytorch3d/csrc/marching_cubes/marching_cubes.cu
@@ -382,6 +382,44 @@ __global__ void GenerateFacesKernel(
  } // end for grid-strided kernel
 }

+// ATen/Torch does not have an exclusive-scan operator. Additionally, in the
+// code below we need to get the "total number of items to work on" after
+// a scan, which with an inclusive-scan would simply be the value of the last
+// element in the tensor.
+//
+// This utility function hits two birds with one stone, by running
+// an inclusive-scan into a right-shifted view of a tensor that's
+// allocated to be one element bigger than the input tensor.
+//
+// Note; return tensor is `int64_t` per element, even if the input
+// tensor is only 32-bit. Also, the return tensor is one element bigger
+// than the input one.
+//
+// Secondary optional argument is an output argument that gets the
+// value of the last element of the return tensor (because you almost
+// always need this CPU-side right after this function anyway).
+static at::Tensor ExclusiveScanAndTotal(
+    const at::Tensor& inTensor,
+    int64_t* optTotal = nullptr) {
+  const auto inSize = inTensor.sizes()[0];
+  auto retTensor = at::zeros({inSize + 1}, at::kLong).to(inTensor.device());
+
+  using at::indexing::None;
+  using at::indexing::Slice;
+  auto rightShiftedView = retTensor.index({Slice(1, None)});
+
+  // Do an (inclusive-scan) cumulative sum in to the view that's
+  // shifted one element to the right...
+  at::cumsum_out(rightShiftedView, inTensor, 0, at::kLong);
+
+  if (optTotal) {
+    *optTotal = retTensor[inSize].cpu().item<int64_t>();
+  }
+
+  // ...so that the not-shifted tensor holds the exclusive-scan
+  return retTensor;
+}
+
 // Entrance for marching cubes cuda extension. Marching Cubes is an algorithm to
 // create triangle meshes from an implicit function (one of the form f(x, y, z)
 // = 0). It works by iteratively checking a grid of cubes superimposed over a
@@ -444,20 +482,18 @@ std::tuple<at::Tensor, at::Tensor, at::Tensor> MarchingCubesCuda(
  using at::indexing::Slice;

  auto d_voxelVerts =
-      at::zeros({numVoxels + 1}, at::TensorOptions().dtype(at::kInt))
+      at::zeros({numVoxels}, at::TensorOptions().dtype(at::kInt))
          .to(vol.device());
-  auto d_voxelVerts_ = d_voxelVerts.index({Slice(1, None)});
  auto d_voxelOccupied =
-      at::zeros({numVoxels + 1}, at::TensorOptions().dtype(at::kInt))
+      at::zeros({numVoxels}, at::TensorOptions().dtype(at::kInt))
          .to(vol.device());
-  auto d_voxelOccupied_ = d_voxelOccupied.index({Slice(1, None)});

  // Execute "ClassifyVoxelKernel" kernel to precompute
  // two arrays - d_voxelOccupied and d_voxelVertices to global memory,
  // which stores the occupancy state and number of voxel vertices per voxel.
  ClassifyVoxelKernel<<<grid, threads, 0, stream>>>(
-      d_voxelVerts_.packed_accessor32<int, 1, at::RestrictPtrTraits>(),
-      d_voxelOccupied_.packed_accessor32<int, 1, at::RestrictPtrTraits>(),
+      d_voxelVerts.packed_accessor32<int, 1, at::RestrictPtrTraits>(),
+      d_voxelOccupied.packed_accessor32<int, 1, at::RestrictPtrTraits>(),
      vol.packed_accessor32<float, 3, at::RestrictPtrTraits>(),
      isolevel);
  AT_CUDA_CHECK(cudaGetLastError());
@@ -467,12 +503,9 @@ std::tuple<at::Tensor, at::Tensor, at::Tensor> MarchingCubesCuda(
  // count for voxels in the grid and compute the number of active voxels.
  // If the number of active voxels is 0, return zero tensor for verts and
  // faces.
-
-  auto d_voxelOccupiedScan = at::cumsum(d_voxelOccupied, 0);
-  auto d_voxelOccupiedScan_ = d_voxelOccupiedScan.index({Slice(1, None)});
-
-  // number of active voxels
-  int64_t activeVoxels = d_voxelOccupiedScan[numVoxels].cpu().item<int64_t>();
+  int64_t activeVoxels = 0;
+  auto d_voxelOccupiedScan =
+      ExclusiveScanAndTotal(d_voxelOccupied, &activeVoxels);

  const int device_id = vol.device().index();
  auto opt = at::TensorOptions().dtype(at::kInt).device(at::kCUDA, device_id);
@@ -487,24 +520,21 @@ std::tuple<at::Tensor, at::Tensor, at::Tensor> MarchingCubesCuda(
    return std::make_tuple(verts, faces, ids);
  }

-  // Execute "CompactVoxelsKernel" kernel to compress voxels for accleration.
+  // Execute "CompactVoxelsKernel" kernel to compress voxels for acceleration.
  // This allows us to run triangle generation on only the occupied voxels.
  auto d_compVoxelArray = at::zeros({activeVoxels}, opt);
  CompactVoxelsKernel<<<grid, threads, 0, stream>>>(
      d_compVoxelArray.packed_accessor32<int, 1, at::RestrictPtrTraits>(),
      d_voxelOccupied.packed_accessor32<int, 1, at::RestrictPtrTraits>(),
-      d_voxelOccupiedScan_
+      d_voxelOccupiedScan
          .packed_accessor32<int64_t, 1, at::RestrictPtrTraits>(),
      numVoxels);
  AT_CUDA_CHECK(cudaGetLastError());
  cudaDeviceSynchronize();

  // Scan d_voxelVerts array to generate offsets of vertices for each voxel
-  auto d_voxelVertsScan = at::cumsum(d_voxelVerts, 0);
-  auto d_voxelVertsScan_ = d_voxelVertsScan.index({Slice(1, None)});
-
-  // total number of vertices
-  int64_t totalVerts = d_voxelVertsScan[numVoxels].cpu().item<int64_t>();
+  int64_t totalVerts = 0;
+  auto d_voxelVertsScan = ExclusiveScanAndTotal(d_voxelVerts, &totalVerts);

  // Execute "GenerateFacesKernel" kernel
  // This runs only on the occupied voxels.
@@ -524,7 +554,7 @@ std::tuple<at::Tensor, at::Tensor, at::Tensor> MarchingCubesCuda(
      faces.packed_accessor<int64_t, 2, at::RestrictPtrTraits>(),
      ids.packed_accessor<int64_t, 1, at::RestrictPtrTraits>(),
      d_compVoxelArray.packed_accessor32<int, 1, at::RestrictPtrTraits>(),
-      d_voxelVertsScan_.packed_accessor32<int64_t, 1, at::RestrictPtrTraits>(),
+      d_voxelVertsScan.packed_accessor32<int64_t, 1, at::RestrictPtrTraits>(),
      activeVoxels,
      vol.packed_accessor32<float, 3, at::RestrictPtrTraits>(),
      faceTable.packed_accessor32<int, 2, at::RestrictPtrTraits>(),
--- a/pytorch3d/csrc/pulsar/host/commands.h
+++ b/pytorch3d/csrc/pulsar/host/commands.h
@@ -357,11 +357,11 @@ void MAX_WS(
 //
 //
 #define END_PARALLEL() \
-  end_parallel:;       \
+  end_parallel :;      \
  }
 #define END_PARALLEL_NORET() }
 #define END_PARALLEL_2D() \
-  end_parallel:;          \
+  end_parallel :;         \
  }                       \
  }
 #define END_PARALLEL_2D_NORET() \
--- a/pytorch3d/csrc/pulsar/include/renderer.construct.device.h
+++ b/pytorch3d/csrc/pulsar/include/renderer.construct.device.h
@@ -93,7 +93,7 @@ HOST void construct(
  MALLOC(self->di_sorted_d, DrawInfo, max_num_balls);
  MALLOC(self->region_flags_d, char, max_num_balls);
  MALLOC(self->num_selected_d, size_t, 1);
-  MALLOC(self->forw_info_d, float, width* height*(3 + 2 * n_track));
+  MALLOC(self->forw_info_d, float, width* height * (3 + 2 * n_track));
  MALLOC(self->min_max_pixels_d, IntersectInfo, 1);
  MALLOC(self->grad_pos_d, float3, max_num_balls);
  MALLOC(self->grad_col_d, float, max_num_balls* n_channels);
--- a/pytorch3d/csrc/pulsar/include/renderer.render.device.h
+++ b/pytorch3d/csrc/pulsar/include/renderer.render.device.h
@@ -99,7 +99,7 @@ GLOBAL void render(
  /** Whether loading of balls is completed. */
  SHARED bool loading_done;
  /** The number of balls loaded overall (just for statistics). */
-  SHARED int n_balls_loaded;
+  [[maybe_unused]] SHARED int n_balls_loaded;
  /** The area this thread block covers. */
  SHARED IntersectInfo block_area;
  if (thread_block.thread_rank() == 0) {
--- a/pytorch3d/csrc/rasterize_coarse/rasterize_coarse.cu
+++ b/pytorch3d/csrc/rasterize_coarse/rasterize_coarse.cu
@@ -244,8 +244,7 @@ at::Tensor RasterizeCoarseCuda(
  if (num_bins_y >= kMaxItemsPerBin || num_bins_x >= kMaxItemsPerBin) {
    std::stringstream ss;
    ss << "In RasterizeCoarseCuda got num_bins_y: " << num_bins_y
-       << ", num_bins_x: " << num_bins_x << ", "
-       << "; that's too many!";
+       << ", num_bins_x: " << num_bins_x << ", " << "; that's too many!";
    AT_ERROR(ss.str());
  }
  auto opts = elems_per_batch.options().dtype(at::kInt);
--- a/pytorch3d/datasets/init.py
+++ b/pytorch3d/datasets/init.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from .r2n2 import BlenderCamera, collate_batched_R2N2, R2N2, render_cubified_voxels
 from .shapenet import ShapeNetCore
 from .utils import collate_batched_meshes
--- a/pytorch3d/datasets/r2n2/init.py
+++ b/pytorch3d/datasets/r2n2/init.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from .r2n2 import R2N2
 from .utils import BlenderCamera, collate_batched_R2N2, render_cubified_voxels

--- a/pytorch3d/datasets/r2n2/r2n2.py
+++ b/pytorch3d/datasets/r2n2/r2n2.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import json
 import warnings
 from os import path
--- a/pytorch3d/datasets/r2n2/utils.py
+++ b/pytorch3d/datasets/r2n2/utils.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import math
 from typing import Dict, List

--- a/pytorch3d/datasets/shapenet/init.py
+++ b/pytorch3d/datasets/shapenet/init.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from .shapenet_core import ShapeNetCore


--- a/pytorch3d/datasets/shapenet/shapenet_core.py
+++ b/pytorch3d/datasets/shapenet/shapenet_core.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import json
 import os
 import warnings
--- a/pytorch3d/datasets/shapenet_base.py
+++ b/pytorch3d/datasets/shapenet_base.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import warnings
 from typing import Dict, List, Optional, Tuple

--- a/pytorch3d/datasets/utils.py
+++ b/pytorch3d/datasets/utils.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from typing import Dict, List

 from pytorch3d.renderer.mesh import TexturesAtlas
--- a/pytorch3d/implicitron/init.py
+++ b/pytorch3d/implicitron/init.py
@@ -3,3 +3,5 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
--- a/pytorch3d/implicitron/dataset/init.py
+++ b/pytorch3d/implicitron/dataset/init.py
@@ -3,3 +3,5 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
--- a/pytorch3d/implicitron/dataset/blender_dataset_map_provider.py
+++ b/pytorch3d/implicitron/dataset/blender_dataset_map_provider.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import torch
 from pytorch3d.implicitron.tools.config import registry
--- a/pytorch3d/implicitron/dataset/data_loader_map_provider.py
+++ b/pytorch3d/implicitron/dataset/data_loader_map_provider.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from dataclasses import dataclass
 from enum import Enum
 from typing import Iterator, List, Optional, Tuple
--- a/pytorch3d/implicitron/dataset/data_source.py
+++ b/pytorch3d/implicitron/dataset/data_source.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from typing import Optional, Tuple

 from pytorch3d.implicitron.tools.config import (
--- a/pytorch3d/implicitron/dataset/dataset_base.py
+++ b/pytorch3d/implicitron/dataset/dataset_base.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from collections import defaultdict
 from dataclasses import dataclass
 from typing import (
--- a/pytorch3d/implicitron/dataset/dataset_map_provider.py
+++ b/pytorch3d/implicitron/dataset/dataset_map_provider.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import logging
 import os
 from dataclasses import dataclass
--- a/pytorch3d/implicitron/dataset/frame_data.py
+++ b/pytorch3d/implicitron/dataset/frame_data.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import os
 from abc import ABC, abstractmethod
 from collections import defaultdict
@@ -576,11 +578,11 @@ class GenericFrameDataBuilder(FrameDataBuilderBase[FrameDataSubtype], ABC):
            camera_quality_score=safe_as_tensor(
                sequence_annotation.viewpoint_quality_score, torch.float
            ),
-            point_cloud_quality_score=safe_as_tensor(
-                point_cloud.quality_score, torch.float
-            )
+            point_cloud_quality_score=(
+                safe_as_tensor(point_cloud.quality_score, torch.float)
                if point_cloud is not None
-            else None,
+                else None
+            ),
        )

        fg_mask_np: Optional[np.ndarray] = None
--- a/pytorch3d/implicitron/dataset/json_index_dataset.py
+++ b/pytorch3d/implicitron/dataset/json_index_dataset.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import copy
 import functools
 import gzip
@@ -124,9 +126,9 @@ class JsonIndexDataset(DatasetBase, ReplaceableBase):
            dimension of the cropping bounding box, relative to box size.
    """

-    frame_annotations_type: ClassVar[
-        Type[types.FrameAnnotation]
-    ] = types.FrameAnnotation
+    frame_annotations_type: ClassVar[Type[types.FrameAnnotation]] = (
+        types.FrameAnnotation
+    )

    path_manager: Any = None
    frame_annotations_file: str = ""
--- a/pytorch3d/implicitron/dataset/json_index_dataset_map_provider.py
+++ b/pytorch3d/implicitron/dataset/json_index_dataset_map_provider.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import json
 import os
--- a/pytorch3d/implicitron/dataset/json_index_dataset_map_provider_v2.py
+++ b/pytorch3d/implicitron/dataset/json_index_dataset_map_provider_v2.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import copy
 import json
--- a/pytorch3d/implicitron/dataset/llff_dataset_map_provider.py
+++ b/pytorch3d/implicitron/dataset/llff_dataset_map_provider.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import numpy as np
 import torch
--- a/pytorch3d/implicitron/dataset/load_blender.py
+++ b/pytorch3d/implicitron/dataset/load_blender.py
@@ -1,6 +1,8 @@
 # @lint-ignore-every LICENSELINT
 # Adapted from https://github.com/bmild/nerf/blob/master/load_blender.py
 # Copyright (c) 2020 bmild
+
+# pyre-unsafe
 import json
 import os

--- a/pytorch3d/implicitron/dataset/load_llff.py
+++ b/pytorch3d/implicitron/dataset/load_llff.py
@@ -1,6 +1,8 @@
 # @lint-ignore-every LICENSELINT
 # Adapted from https://github.com/bmild/nerf/blob/master/load_llff.py
 # Copyright (c) 2020 bmild
+
+# pyre-unsafe
 import logging
 import os
 import warnings
--- a/pytorch3d/implicitron/dataset/rendered_mesh_dataset_map_provider.py
+++ b/pytorch3d/implicitron/dataset/rendered_mesh_dataset_map_provider.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from os.path import dirname, join, realpath
 from typing import Optional, Tuple

--- a/pytorch3d/implicitron/dataset/scene_batch_sampler.py
+++ b/pytorch3d/implicitron/dataset/scene_batch_sampler.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import warnings
 from collections import Counter
--- a/pytorch3d/implicitron/dataset/single_sequence_dataset.py
+++ b/pytorch3d/implicitron/dataset/single_sequence_dataset.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 # This file defines a base class for dataset map providers which
 # provide data for a single scene.
--- a/pytorch3d/implicitron/dataset/train_eval_data_loader_provider.py
+++ b/pytorch3d/implicitron/dataset/train_eval_data_loader_provider.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import logging
 from typing import Any, Dict, Optional, Tuple

--- a/pytorch3d/implicitron/dataset/types.py
+++ b/pytorch3d/implicitron/dataset/types.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import dataclasses
 import gzip
--- a/pytorch3d/implicitron/dataset/utils.py
+++ b/pytorch3d/implicitron/dataset/utils.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import functools
 import warnings
--- a/pytorch3d/implicitron/dataset/visualize.py
+++ b/pytorch3d/implicitron/dataset/visualize.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from typing import cast, Optional, Tuple

 import torch
@@ -88,9 +90,11 @@ def get_implicitron_sequence_pointcloud(
            frame_data.camera,
            frame_data.image_rgb,
            frame_data.depth_map,
+            (
                (cast(torch.Tensor, frame_data.fg_probability) > 0.5).float()
                if mask_points and frame_data.fg_probability is not None
-            else None,
+                else None
+            ),
        )

    return point_cloud, frame_data
--- a/pytorch3d/implicitron/eval_demo.py
+++ b/pytorch3d/implicitron/eval_demo.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import dataclasses
 import os
--- a/pytorch3d/implicitron/evaluation/init.py
+++ b/pytorch3d/implicitron/evaluation/init.py
@@ -3,3 +3,5 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
--- a/pytorch3d/implicitron/evaluation/evaluate_new_view_synthesis.py
+++ b/pytorch3d/implicitron/evaluation/evaluate_new_view_synthesis.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import copy
 import warnings
@@ -282,9 +284,9 @@ def eval_batch(
            image_rgb_masked=image_rgb_masked,
            depth_render=cloned_render["depth_render"],
            depth_map=frame_data.depth_map,
-            depth_mask=frame_data.depth_mask[:1]
-            if frame_data.depth_mask is not None
-            else None,
+            depth_mask=(
+                frame_data.depth_mask[:1] if frame_data.depth_mask is not None else None
+            ),
            visdom_env=visualize_visdom_env,
        )

--- a/pytorch3d/implicitron/evaluation/evaluator.py
+++ b/pytorch3d/implicitron/evaluation/evaluator.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import copy
 import json
 import logging
--- a/pytorch3d/implicitron/models/init.py
+++ b/pytorch3d/implicitron/models/init.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 # Allows to register the models
 # see: pytorch3d.implicitron.tools.config.registry:register
 from pytorch3d.implicitron.models.generic_model import GenericModel
--- a/pytorch3d/implicitron/models/base_model.py
+++ b/pytorch3d/implicitron/models/base_model.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from dataclasses import dataclass, field
 from typing import Any, Dict, List, Optional

--- a/pytorch3d/implicitron/models/feature_extractor/init.py
+++ b/pytorch3d/implicitron/models/feature_extractor/init.py
@@ -4,4 +4,6 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from .feature_extractor import FeatureExtractorBase
--- a/pytorch3d/implicitron/models/feature_extractor/feature_extractor.py
+++ b/pytorch3d/implicitron/models/feature_extractor/feature_extractor.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from typing import Any, Dict, Optional

 import torch
--- a/pytorch3d/implicitron/models/feature_extractor/resnet_feature_extractor.py
+++ b/pytorch3d/implicitron/models/feature_extractor/resnet_feature_extractor.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import logging
 import math
 from typing import Any, Dict, Optional, Tuple
--- a/pytorch3d/implicitron/models/generic_model.py
+++ b/pytorch3d/implicitron/models/generic_model.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 # Note: The #noqa comments below are for unused imports of pluggable implementations
 # which are part of implicitron. They ensure that the registry is prepopulated.
@@ -395,10 +397,12 @@ class GenericModel(ImplicitronModelBase):  # pyre-ignore: 13
        n_targets = (
            1
            if evaluation_mode == EvaluationMode.EVALUATION
-            else batch_size
+            else (
+                batch_size
                if self.n_train_target_views <= 0
                else min(self.n_train_target_views, batch_size)
            )
+        )

        # A helper function for selecting n_target first elements from the input
        # where the latter can be None.
@@ -422,9 +426,12 @@ class GenericModel(ImplicitronModelBase):  # pyre-ignore: 13
        ray_bundle: ImplicitronRayBundle = self.raysampler(
            target_cameras,
            evaluation_mode,
-            mask=mask_crop[:n_targets]
-            if mask_crop is not None and sampling_mode == RenderSamplingMode.MASK_SAMPLE
-            else None,
+            mask=(
+                mask_crop[:n_targets]
+                if mask_crop is not None
+                and sampling_mode == RenderSamplingMode.MASK_SAMPLE
+                else None
+            ),
        )

        # custom_args hold additional arguments to the implicit function.
--- a/pytorch3d/implicitron/models/global_encoder/init.py
+++ b/pytorch3d/implicitron/models/global_encoder/init.py
@@ -3,3 +3,5 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
--- a/pytorch3d/implicitron/models/global_encoder/autodecoder.py
+++ b/pytorch3d/implicitron/models/global_encoder/autodecoder.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import warnings
 from collections import defaultdict
 from typing import Dict, List, Optional, Union
--- a/pytorch3d/implicitron/models/global_encoder/global_encoder.py
+++ b/pytorch3d/implicitron/models/global_encoder/global_encoder.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from typing import List, Optional, Union

 import torch
--- a/pytorch3d/implicitron/models/implicit_function/init.py
+++ b/pytorch3d/implicitron/models/implicit_function/init.py
@@ -3,3 +3,5 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
--- a/pytorch3d/implicitron/models/implicit_function/base.py
+++ b/pytorch3d/implicitron/models/implicit_function/base.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from abc import ABC, abstractmethod
 from typing import Optional

--- a/pytorch3d/implicitron/models/implicit_function/decoding_functions.py
+++ b/pytorch3d/implicitron/models/implicit_function/decoding_functions.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 """
 This file contains
    - modules which get used by ImplicitFunction objects for decoding an embedding defined in
--- a/pytorch3d/implicitron/models/implicit_function/idr_feature_field.py
+++ b/pytorch3d/implicitron/models/implicit_function/idr_feature_field.py
@@ -2,6 +2,8 @@
 # Adapted from https://github.com/lioryariv/idr/blob/main/code/model/
 #              implicit_differentiable_renderer.py
 # Copyright (c) 2020 Lior Yariv
+
+# pyre-unsafe
 import math
 from typing import Optional, Tuple

@@ -102,9 +104,7 @@ class IdrFeatureField(ImplicitFunctionBase, torch.nn.Module):
                elif self.n_harmonic_functions_xyz >= 0 and layer_idx == 0:
                    torch.nn.init.constant_(lin.bias, 0.0)
                    torch.nn.init.constant_(lin.weight[:, 3:], 0.0)
-                    torch.nn.init.normal_(
-                        lin.weight[:, :3], 0.0, 2**0.5 / out_dim**0.5
-                    )
+                    torch.nn.init.normal_(lin.weight[:, :3], 0.0, 2**0.5 / out_dim**0.5)
                elif self.n_harmonic_functions_xyz >= 0 and layer_idx in self.skip_in:
                    torch.nn.init.constant_(lin.bias, 0.0)
                    torch.nn.init.normal_(lin.weight, 0.0, 2**0.5 / out_dim**0.5)
--- a/pytorch3d/implicitron/models/implicit_function/neural_radiance_field.py
+++ b/pytorch3d/implicitron/models/implicit_function/neural_radiance_field.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import logging
 from typing import Optional, Tuple

@@ -193,9 +195,9 @@ class NeuralRadianceFieldBase(ImplicitFunctionBase, torch.nn.Module):
        embeds = create_embeddings_for_implicit_function(
            xyz_world=rays_points_world,
            #  for 2nd param but got `Union[None, torch.Tensor, torch.nn.Module]`.
-            xyz_embedding_function=self.harmonic_embedding_xyz
-            if self.input_xyz
-            else None,
+            xyz_embedding_function=(
+                self.harmonic_embedding_xyz if self.input_xyz else None
+            ),
            global_code=global_code,
            fun_viewpool=fun_viewpool,
            xyz_in_camera_coords=self.xyz_ray_dir_in_camera_coords,
--- a/pytorch3d/implicitron/models/implicit_function/scene_representation_networks.py
+++ b/pytorch3d/implicitron/models/implicit_function/scene_representation_networks.py
@@ -1,6 +1,8 @@
 # @lint-ignore-every LICENSELINT
 # Adapted from https://github.com/vsitzmann/scene-representation-networks
 # Copyright (c) 2019 Vincent Sitzmann
+
+# pyre-unsafe
 from typing import Any, cast, Optional, Tuple

 import torch
--- a/pytorch3d/implicitron/models/implicit_function/utils.py
+++ b/pytorch3d/implicitron/models/implicit_function/utils.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 from typing import Callable, Optional

 import torch
--- a/pytorch3d/implicitron/models/implicit_function/voxel_grid.py
+++ b/pytorch3d/implicitron/models/implicit_function/voxel_grid.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 """
 This file contains classes that implement Voxel grids, both in their full resolution
 as in the factorized form. There are two factorized forms implemented, Tensor rank decomposition
--- a/pytorch3d/implicitron/models/implicit_function/voxel_grid_implicit_function.py
+++ b/pytorch3d/implicitron/models/implicit_function/voxel_grid_implicit_function.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+
 import logging
 import math
 import warnings
--- a/pytorch3d/implicitron/models/metrics.py
+++ b/pytorch3d/implicitron/models/metrics.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 import warnings
 from typing import Any, Dict, Optional
--- a/pytorch3d/implicitron/models/model_dbir.py
+++ b/pytorch3d/implicitron/models/model_dbir.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 from typing import Any, Dict, List, Optional, Tuple

--- a/pytorch3d/implicitron/models/overfit_model.py
+++ b/pytorch3d/implicitron/models/overfit_model.py
@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.

+# pyre-unsafe
+

 # Note: The #noqa comments below are for unused imports of pluggable implementations
 # which are part of implicitron. They ensure that the registry is prepopulated.
@@ -356,9 +358,12 @@ class OverfitModel(ImplicitronModelBase):  # pyre-ignore: 13
        ray_bundle: ImplicitronRayBundle = self.raysampler(
            camera,
            evaluation_mode,
-            mask=mask_crop
-            if mask_crop is not None and sampling_mode == RenderSamplingMode.MASK_SAMPLE
-            else None,
+            mask=(
+                mask_crop
+                if mask_crop is not None
+                and sampling_mode == RenderSamplingMode.MASK_SAMPLE
+                else None
+            ),
        )

        inputs_to_be_chunked = {}
@@ -381,11 +386,13 @@ class OverfitModel(ImplicitronModelBase):  # pyre-ignore: 13
                frame_timestamp=frame_timestamp,
            )
            implicit_functions = [
+                (
                    functools.partial(implicit_function, global_code=global_code)
                    if isinstance(implicit_function, Callable)
                    else functools.partial(
                        implicit_function.forward, global_code=global_code
                    )
+                )
                for implicit_function in implicit_functions
            ]
        rendered = self._render(
--- a/pytorch3d/implicitron/models/renderer/init.py
+++ b/pytorch3d/implicitron/models/renderer/init.py
@@ -3,3 +3,5 @@
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
+
+# pyre-unsafe
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Jeremy Reizenstein	0eac8299d4	MKL version fix in CI (#1820 ) Summary: Fix for "undefined symbol: iJIT_NotifyEvent" build issue, Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1820 Differential Revision: D58685326	2024-06-20 09:24:07 -07:00
vedrenne	b0462d8079	Allow indexing for classes inheriting Transform3d (#1801 ) Summary: Currently, it is not possible to access a sub-transform using an indexer for all 3d transforms inheriting the `Transforms3d` class. For instance: ```python from pytorch3d import transforms N = 10 r = transforms.random_rotations(N) T = transforms.Transform3d().rotate(R=r) R = transforms.Rotate(r) x = T[0] # ok x = R[0] # TypeError: __init__() got an unexpected keyword argument 'matrix' ``` This is because all these classes (namely `Rotate`, `Translate`, `Scale`, `RotateAxisAngle`) inherit the `__getitem__()` method from `Transform3d` which has the [following code on line 201](https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/transforms/transform3d.py#L201): ```python return self.__class__(matrix=self.get_matrix()[index]) ``` The four classes inheriting `Transform3d` are not initialized through a matrix argument, hence they error. I propose to modify the `__getitem__()` method of the `Transform3d` class to fix this behavior. The least invasive way to do it I can think of consists of creating an empty instance of the current class, then setting the `_matrix` attribute manually. Thus, instead of ```python return self.__class__(matrix=self.get_matrix()[index]) ``` I propose to do: ```python instance = self.__class__.__new__(self.__class__) instance._matrix = self.get_matrix()[index] return instance ``` As far as I can tell, this modification occurs no modification whatsoever for the user, except for the ability to index all 3d transforms. Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1801 Reviewed By: MichaelRamamonjisoa Differential Revision: D58410389 Pulled By: bottler fbshipit-source-id: f371e4c63d2ae4c927a7ad48c2de8862761078de	2024-06-17 07:48:18 -07:00
Jeremy Reizenstein	b66d17a324	Undo c10=>std optional rename Summary: Undoes the pytorch3d changes in D57294278 because they break builds for for PyTorch<2.1 . Reviewed By: MichaelRamamonjisoa Differential Revision: D57379779 fbshipit-source-id: 47a12511abcec4c3f4e2f62eff5ba99deb2fab4c	2024-06-17 07:09:30 -07:00
Kyle Vedder	717493cb79	Fixed last dimension size check so that it doesn't trivially pass. (#1815 ) Summary: Currently, it checks that the `2`th dimension of `p2` is the same size as the `2`th dimension of `p2` instead of `p1`. Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1815 Reviewed By: MichaelRamamonjisoa Differential Revision: D58586966 Pulled By: bottler fbshipit-source-id: d4f723fa264f90fe368c10825c1acdfdc4c406dc	2024-06-17 06:00:13 -07:00
Jeremy Reizenstein	302da69461	builds for PyTorch 2.2.1 2.2.2 2.3.0 2.3.1 Summary: Build for new pytorch versions Reviewed By: MichaelRamamonjisoa Differential Revision: D58668956 fbshipit-source-id: 7fdfb377b370448d6147daded6a21b8db87586fb	2024-06-17 05:57:59 -07:00
Roman Shapovalov	4ae25bfce7	Moving ray bundle to float dtype Summary: We can now move ray bundle to float dtype (e.g. from fp16 like types). Reviewed By: bottler Differential Revision: D57493109 fbshipit-source-id: 4e18a427e968b646fe5feafbff653811cd007981	2024-05-30 10:06:38 -07:00
Richard Barnes	bd52f4a408	c10::optional -> std::optional in tensorboard/adhoc/Adhoc.h +9 Summary: `c10::optional` was switched to be `std::optional` after PyTorch moved to C++17. Let's eliminate `c10::optional`, if we can. Reviewed By: albanD Differential Revision: D57294278 fbshipit-source-id: f6f26133c43f8d92a4588f59df7d689e7909a0cd	2024-05-13 16:40:34 -07:00
generatedunixname89002005307016	17117106e4	upgrade pyre version in `fbcode/vision` - batch 2 Differential Revision: D57183103 fbshipit-source-id: 7e2f42ddc6a1fa02abc27a451987d67a00264cbb	2024-05-10 01:18:43 -07:00
Richard Barnes	aec76bb4c8	Remove unused-but-set variables in vision/fair/pytorch3d/pytorch3d/csrc/pulsar/include/renderer.render.device.h +1 Summary: This diff removes a variable that was set, but which was not used. LLVM-15 has a warning `-Wunused-but-set-variable` which we treat as an error because it's so often diagnostic of a code issue. Unused but set variables often indicate a programming mistake, but can also just be unnecessary cruft that harms readability and performance. Removing this variable will not change how your code works, but the unused variable may indicate your code isn't working the way you thought it was. I've gone through each of these by hand, but mistakes may have slipped through. If you feel the diff needs changes before landing, please commandeer and make appropriate changes: there are hundreds of these and responding to them individually is challenging. For questions/comments, contact r-barnes. - If you approve of this diff, please use the "Accept & Ship" button :-) Reviewed By: bottler Differential Revision: D56886956 fbshipit-source-id: 0c515ed98b812b1c106a59e19ec90751ce32e8c0	2024-05-02 13:58:05 -07:00
Andres Suarez	47d5dc8824	Apply clang-format 18 Summary: Previously this code conformed from clang-format 12. Reviewed By: igorsugak Differential Revision: D56065247 fbshipit-source-id: f5a985dd8f8b84f2f9e1818b3719b43c5a1b05b3	2024-04-14 11:28:32 -07:00
generatedunixname89002005307016	fe0b1bae49	upgrade pyre version in `fbcode/vision` - batch 2 Differential Revision: D55650177 fbshipit-source-id: d5faa4d805bb40fe3dea70b0601e7a1382b09f3a	2024-04-02 18:11:50 -07:00
Ruishen Lyu	ccf22911d4	Optimize list_to_packed to avoid for loop (#1737 ) Summary: For larger N and Mi value (e.g. N=154, Mi=238) I notice list_to_packed() has become a bottleneck for my application. By removing the for loop and running on GPU, i see a 10-20 x speedup. Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1737 Reviewed By: MichaelRamamonjisoa Differential Revision: D54187993 Pulled By: bottler fbshipit-source-id: 16399a24cb63b48c30460c7d960abef603b115d0	2024-04-02 07:50:25 -07:00
Ashim Dahal	128be02fc0	feat: adjusted sample_nums (#1768 ) Summary: adjusted sample_nums to match the number of columns in the image grid. It originally produced image grid with 5 axes but only 3 images and after this fix, the block would work as intended. Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1768 Reviewed By: MichaelRamamonjisoa Differential Revision: D55632872 Pulled By: bottler fbshipit-source-id: 44d633a8068076889e49d49b8a7910dba0db37a7	2024-04-02 06:02:48 -07:00
Roeia Kishk	31e3488a51	Changed tutorials' pip searching Summary: ### Generalise tutorials' pip searching: ## Required Information: This diff contains changes to several PyTorch3D tutorials. Purpose of this diff: Replace the current installation code with a more streamlined approach that tries to install the wheel first and falls back to installing from source if the wheel is not found. Why this diff is required: This diff makes it easier to cope with new PyTorch releases and reduce the need for manual intervention, as the current process involves checking the version of PyTorch in Colab and building a new wheel if it doesn't match the expected version, which generates additional work each time there is a a new PyTorch version in Colab. Changes: Before: ``` if torch.__version__.startswith("2.1.") and sys.platform.startswith("linux"): # We try to install PyTorch3D via a released wheel. pyt_version_str=torch.__version__.split("+")[0].replace(".", "") version_str="".join([ f"py3{sys.version_info.minor}_cu", torch.version.cuda.replace(".",""), f"_pyt{pyt_version_str}" ]) !pip install fvcore iopath !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html else: # We try to install PyTorch3D from source. !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable' ``` After: ``` pyt_version_str=torch.__version__.split("+")[0].replace(".", "") version_str="".join([ f"py3{sys.version_info.minor}_cu", torch.version.cuda.replace(".",""), f"_pyt{pyt_version_str}" ]) !pip install fvcore iopath if sys.platform.startswith("linux"): # We try to install PyTorch3D via a released wheel. !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html pip_list = !pip freeze need_pytorch3d = not any(i.startswith("pytorch3d==") for i in pip_list) if need_pytorch3d: # We try to install PyTorch3D from source. !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable' ``` Reviewed By: bottler Differential Revision: D55431832 fbshipit-source-id: a8de9162470698320241ae8401427dcb1ce17c37	2024-03-28 11:24:43 -07:00
generatedunixname89002005307016	b215776f2d	upgrade pyre version in `fbcode/vision` - batch 2 Differential Revision: D55395614 fbshipit-source-id: 71677892b5d6f219f6df25b4efb51fb0f6b1441b	2024-03-26 22:02:22 -07:00
Cijo Jose	38cf0dc1c5	TexturesUV multiple maps Summary: Implements the the TexturesUV with multiple map ids. Reviewed By: bottler Differential Revision: D53944063 fbshipit-source-id: 06c25eb6d69f72db0484f16566dd2ca32a560b82	2024-03-12 06:59:31 -07:00
Jaap Suter	7566530669	CUDA marching_cubes fix Summary: Fix an inclusive vs exclusive scan mix-up that was accidentally introduced when removing the Thrust dependency (`Thrust::exclusive_scan`) and reimplementing it using `at::cumsum` (which does an inclusive scan). This fixes two Github reported issues: * https://github.com/facebookresearch/pytorch3d/issues/1731 * https://github.com/facebookresearch/pytorch3d/issues/1751 Reviewed By: bottler Differential Revision: D54605545 fbshipit-source-id: da9e92f3f8a9a35f7b7191428d0b9a9ca03e0d4d	2024-03-07 15:38:24 -08:00
Conner Nilsen	a27755db41	Pyre Configurationless migration for] [batch:85/112] [shard:6/N] Reviewed By: inseokhwang Differential Revision: D54438157 fbshipit-source-id: a6acfe146ed29fff82123b5e458906d4b4cee6a2	2024-03-04 18:30:37 -08:00
Amethyst Reese	3da7703c5a	apply Black 2024 style in fbcode (4/16) Summary: Formats the covered files with pyfmt. paintitblack Reviewed By: aleivag Differential Revision: D54447727 fbshipit-source-id: 8844b1caa08de94d04ac4df3c768dbf8c865fd2f	2024-03-02 17:31:19 -08:00