PyTorch>1.9 version str

Make code for downloading linux wheels robust to double-digit PyTorch version.
2025-12-22 07:10:34 +08:00 · 2021-12-17 06:01:51 -08:00
837 changed files with 4663 additions and 60039 deletions
--- a/.circleci/build_count.py
+++ b/.circleci/build_count.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/.circleci/check.sh
+++ b/.circleci/check.sh
@@ -1,5 +1,5 @@
 #!/bin/bash -e
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/.circleci/config.in.yml
+++ b/.circleci/config.in.yml
@@ -81,7 +81,7 @@ jobs:
          command: |
            export LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64
            python3 setup.py build_ext --inplace
-      - run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 python -m unittest discover -v -s tests -t .
+      - run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 python -m unittest discover -v -s tests
      - run: python3 setup.py bdist_wheel

  binary_linux_wheel:
@@ -117,7 +117,7 @@ jobs:
      - run:
          name: build
          no_output_timeout: 20m
-          command: MAX_JOBS=15 TEST_FLAG=--no-test python3 packaging/build_conda.py
+          command: MAX_JOBS=15 TEST_FLAG=--no-test packaging/build_conda.sh
      - store_artifacts:
          path: /opt/conda/conda-bld/linux-64
      - persist_to_workspace:
@@ -128,15 +128,55 @@ jobs:
  binary_linux_conda_cuda:
    <<: *binary_common
    machine:
-      image: ubuntu-1604-cuda-10.2:202012-01
+      image: ubuntu-1604:201903-01
    resource_class: gpu.nvidia.small.multi
    steps:
    - checkout
+    - run:
+        name: Setup environment
+        command: |
+          set -e
+
+          curl -L https://packagecloud.io/circleci/trusty/gpgkey | sudo apt-key add -
+          curl -L https://dl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
+
+          sudo apt-get update
+
+          sudo apt-get install \
+              apt-transport-https \
+              ca-certificates \
+              curl \
+              gnupg-agent \
+              software-properties-common
+
+          curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
+
+          sudo add-apt-repository \
+             "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
+             $(lsb_release -cs) \
+             stable"
+
+          sudo apt-get update
+          export DOCKER_VERSION="5:19.03.2~3-0~ubuntu-xenial"
+          sudo apt-get install docker-ce=${DOCKER_VERSION} docker-ce-cli=${DOCKER_VERSION} containerd.io=1.2.6-3
+
+          # Add the package repositories
+          distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
+          curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
+          curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
+
+          export NVIDIA_CONTAINER_VERSION="1.0.3-1"
+          sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit=${NVIDIA_CONTAINER_VERSION}
+          sudo systemctl restart docker
+
+          DRIVER_FN="NVIDIA-Linux-x86_64-460.84.run"
+          wget "https://us.download.nvidia.com/XFree86/Linux-x86_64/460.84/$DRIVER_FN"
+          sudo /bin/bash "$DRIVER_FN" -s --no-drm || (sudo cat /var/log/nvidia-installer.log && false)
+          nvidia-smi

    - run:
        name: Pull docker image
        command: |
-          nvidia-smi
          set -e

          { docker login -u="$DOCKERHUB_USERNAME" -p="$DOCKERHUB_TOKEN" ; } 2> /dev/null
@@ -154,12 +194,12 @@ jobs:
          export JUST_TESTRUN=1
          VARS_TO_PASS="-e PYTHON_VERSION -e BUILD_VERSION -e PYTORCH_VERSION -e CU_VERSION -e JUST_TESTRUN"

-          docker run --gpus all  --ipc=host -v $(pwd):/remote -w /remote ${VARS_TO_PASS} ${TESTRUN_DOCKER_IMAGE} python3 ./packaging/build_conda.py
+          docker run --gpus all  --ipc=host -v $(pwd):/remote -w /remote ${VARS_TO_PASS} ${TESTRUN_DOCKER_IMAGE} ./packaging/build_conda.sh

  binary_macos_wheel:
    <<: *binary_common
    macos:
-      xcode: "13.4.1"
+      xcode: "12.0"
    steps:
      - checkout
      - run:
@@ -182,23 +222,28 @@ workflows:
      #     context: DOCKERHUB_TOKEN
      {{workflows()}}
      - binary_linux_conda_cuda:
-          name: testrun_conda_cuda_py38_cu102_pyt190
+          name: testrun_conda_cuda_py37_cu102_pyt170
          context: DOCKERHUB_TOKEN
-          python_version: "3.8"
-          pytorch_version: '1.9.0'
+          python_version: "3.7"
+          pytorch_version: '1.7.0'
          cu_version: "cu102"
      - binary_macos_wheel:
          cu_version: cpu
-          name: macos_wheel_py3.8_cpu
+          name: macos_wheel_py36_cpu
+          python_version: '3.6'
+          pytorch_version: '1.9.0'
+      - binary_macos_wheel:
+          cu_version: cpu
+          name: macos_wheel_py37_cpu
+          python_version: '3.7'
+          pytorch_version: '1.9.0'
+      - binary_macos_wheel:
+          cu_version: cpu
+          name: macos_wheel_py38_cpu
          python_version: '3.8'
-          pytorch_version: '1.13.0'
+          pytorch_version: '1.9.0'
      - binary_macos_wheel:
          cu_version: cpu
-          name: macos_wheel_py3.9_cpu
+          name: macos_wheel_py39_cpu
          python_version: '3.9'
-          pytorch_version: '1.13.0'
-      - binary_macos_wheel:
-          cu_version: cpu
-          name: macos_wheel_py3.10_cpu
-          python_version: '3.10'
-          pytorch_version: '1.13.0'
+          pytorch_version: '1.9.0'
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -81,7 +81,7 @@ jobs:
          command: |
            export LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64
            python3 setup.py build_ext --inplace
-      - run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 python -m unittest discover -v -s tests -t .
+      - run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 python -m unittest discover -v -s tests
      - run: python3 setup.py bdist_wheel

  binary_linux_wheel:
@@ -117,7 +117,7 @@ jobs:
      - run:
          name: build
          no_output_timeout: 20m
-          command: MAX_JOBS=15 TEST_FLAG=--no-test python3 packaging/build_conda.py
+          command: MAX_JOBS=15 TEST_FLAG=--no-test packaging/build_conda.sh
      - store_artifacts:
          path: /opt/conda/conda-bld/linux-64
      - persist_to_workspace:
@@ -128,15 +128,55 @@ jobs:
  binary_linux_conda_cuda:
    <<: *binary_common
    machine:
-      image: ubuntu-1604-cuda-10.2:202012-01
+      image: ubuntu-1604:201903-01
    resource_class: gpu.nvidia.small.multi
    steps:
    - checkout
+    - run:
+        name: Setup environment
+        command: |
+          set -e
+
+          curl -L https://packagecloud.io/circleci/trusty/gpgkey | sudo apt-key add -
+          curl -L https://dl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
+
+          sudo apt-get update
+
+          sudo apt-get install \
+              apt-transport-https \
+              ca-certificates \
+              curl \
+              gnupg-agent \
+              software-properties-common
+
+          curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
+
+          sudo add-apt-repository \
+             "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
+             $(lsb_release -cs) \
+             stable"
+
+          sudo apt-get update
+          export DOCKER_VERSION="5:19.03.2~3-0~ubuntu-xenial"
+          sudo apt-get install docker-ce=${DOCKER_VERSION} docker-ce-cli=${DOCKER_VERSION} containerd.io=1.2.6-3
+
+          # Add the package repositories
+          distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
+          curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
+          curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
+
+          export NVIDIA_CONTAINER_VERSION="1.0.3-1"
+          sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit=${NVIDIA_CONTAINER_VERSION}
+          sudo systemctl restart docker
+
+          DRIVER_FN="NVIDIA-Linux-x86_64-460.84.run"
+          wget "https://us.download.nvidia.com/XFree86/Linux-x86_64/460.84/$DRIVER_FN"
+          sudo /bin/bash "$DRIVER_FN" -s --no-drm || (sudo cat /var/log/nvidia-installer.log && false)
+          nvidia-smi

    - run:
        name: Pull docker image
        command: |
-          nvidia-smi
          set -e

          { docker login -u="$DOCKERHUB_USERNAME" -p="$DOCKERHUB_TOKEN" ; } 2> /dev/null
@@ -154,12 +194,12 @@ jobs:
          export JUST_TESTRUN=1
          VARS_TO_PASS="-e PYTHON_VERSION -e BUILD_VERSION -e PYTORCH_VERSION -e CU_VERSION -e JUST_TESTRUN"

-          docker run --gpus all  --ipc=host -v $(pwd):/remote -w /remote ${VARS_TO_PASS} ${TESTRUN_DOCKER_IMAGE} python3 ./packaging/build_conda.py
+          docker run --gpus all  --ipc=host -v $(pwd):/remote -w /remote ${VARS_TO_PASS} ${TESTRUN_DOCKER_IMAGE} ./packaging/build_conda.sh

  binary_macos_wheel:
    <<: *binary_common
    macos:
-      xcode: "13.4.1"
+      xcode: "12.0"
    steps:
      - checkout
      - run:
@@ -180,6 +220,362 @@ workflows:
    jobs:
      # - main:
      #     context: DOCKERHUB_TOKEN
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu92
+          name: linux_conda_py36_cu92_pyt160
+          python_version: '3.6'
+          pytorch_version: 1.6.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py36_cu101_pyt160
+          python_version: '3.6'
+          pytorch_version: 1.6.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py36_cu102_pyt160
+          python_version: '3.6'
+          pytorch_version: 1.6.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py36_cu101_pyt170
+          python_version: '3.6'
+          pytorch_version: 1.7.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py36_cu102_pyt170
+          python_version: '3.6'
+          pytorch_version: 1.7.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu110
+          name: linux_conda_py36_cu110_pyt170
+          python_version: '3.6'
+          pytorch_version: 1.7.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py36_cu101_pyt171
+          python_version: '3.6'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py36_cu102_pyt171
+          python_version: '3.6'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu110
+          name: linux_conda_py36_cu110_pyt171
+          python_version: '3.6'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py36_cu101_pyt180
+          python_version: '3.6'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py36_cu102_pyt180
+          python_version: '3.6'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py36_cu111_pyt180
+          python_version: '3.6'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py36_cu101_pyt181
+          python_version: '3.6'
+          pytorch_version: 1.8.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py36_cu102_pyt181
+          python_version: '3.6'
+          pytorch_version: 1.8.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py36_cu111_pyt181
+          python_version: '3.6'
+          pytorch_version: 1.8.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py36_cu102_pyt190
+          python_version: '3.6'
+          pytorch_version: 1.9.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py36_cu111_pyt190
+          python_version: '3.6'
+          pytorch_version: 1.9.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py36_cu102_pyt191
+          python_version: '3.6'
+          pytorch_version: 1.9.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py36_cu111_pyt191
+          python_version: '3.6'
+          pytorch_version: 1.9.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py36_cu102_pyt1100
+          python_version: '3.6'
+          pytorch_version: 1.10.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py36_cu111_pyt1100
+          python_version: '3.6'
+          pytorch_version: 1.10.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda113
+          context: DOCKERHUB_TOKEN
+          cu_version: cu113
+          name: linux_conda_py36_cu113_pyt1100
+          python_version: '3.6'
+          pytorch_version: 1.10.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu92
+          name: linux_conda_py37_cu92_pyt160
+          python_version: '3.7'
+          pytorch_version: 1.6.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py37_cu101_pyt160
+          python_version: '3.7'
+          pytorch_version: 1.6.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt160
+          python_version: '3.7'
+          pytorch_version: 1.6.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py37_cu101_pyt170
+          python_version: '3.7'
+          pytorch_version: 1.7.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt170
+          python_version: '3.7'
+          pytorch_version: 1.7.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu110
+          name: linux_conda_py37_cu110_pyt170
+          python_version: '3.7'
+          pytorch_version: 1.7.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py37_cu101_pyt171
+          python_version: '3.7'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt171
+          python_version: '3.7'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu110
+          name: linux_conda_py37_cu110_pyt171
+          python_version: '3.7'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py37_cu101_pyt180
+          python_version: '3.7'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt180
+          python_version: '3.7'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py37_cu111_pyt180
+          python_version: '3.7'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py37_cu101_pyt181
+          python_version: '3.7'
+          pytorch_version: 1.8.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt181
+          python_version: '3.7'
+          pytorch_version: 1.8.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py37_cu111_pyt181
+          python_version: '3.7'
+          pytorch_version: 1.8.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt190
+          python_version: '3.7'
+          pytorch_version: 1.9.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py37_cu111_pyt190
+          python_version: '3.7'
+          pytorch_version: 1.9.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt191
+          python_version: '3.7'
+          pytorch_version: 1.9.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py37_cu111_pyt191
+          python_version: '3.7'
+          pytorch_version: 1.9.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt1100
+          python_version: '3.7'
+          pytorch_version: 1.10.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py37_cu111_pyt1100
+          python_version: '3.7'
+          pytorch_version: 1.10.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda113
+          context: DOCKERHUB_TOKEN
+          cu_version: cu113
+          name: linux_conda_py37_cu113_pyt1100
+          python_version: '3.7'
+          pytorch_version: 1.10.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu92
+          name: linux_conda_py38_cu92_pyt160
+          python_version: '3.8'
+          pytorch_version: 1.6.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py38_cu101_pyt160
+          python_version: '3.8'
+          pytorch_version: 1.6.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py38_cu102_pyt160
+          python_version: '3.8'
+          pytorch_version: 1.6.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py38_cu101_pyt170
+          python_version: '3.8'
+          pytorch_version: 1.7.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py38_cu102_pyt170
+          python_version: '3.8'
+          pytorch_version: 1.7.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu110
+          name: linux_conda_py38_cu110_pyt170
+          python_version: '3.8'
+          pytorch_version: 1.7.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py38_cu101_pyt171
+          python_version: '3.8'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py38_cu102_pyt171
+          python_version: '3.8'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu110
+          name: linux_conda_py38_cu110_pyt171
+          python_version: '3.8'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py38_cu101_pyt180
+          python_version: '3.8'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py38_cu102_pyt180
+          python_version: '3.8'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py38_cu111_pyt180
+          python_version: '3.8'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py38_cu101_pyt181
+          python_version: '3.8'
+          pytorch_version: 1.8.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py38_cu102_pyt181
+          python_version: '3.8'
+          pytorch_version: 1.8.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py38_cu111_pyt181
+          python_version: '3.8'
+          pytorch_version: 1.8.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
@@ -223,124 +619,60 @@ workflows:
          name: linux_conda_py38_cu113_pyt1100
          python_version: '3.8'
          pytorch_version: 1.10.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py39_cu101_pyt171
+          python_version: '3.9'
+          pytorch_version: 1.7.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
-          name: linux_conda_py38_cu102_pyt1101
-          python_version: '3.8'
-          pytorch_version: 1.10.1
+          name: linux_conda_py39_cu102_pyt171
+          python_version: '3.9'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu110
+          name: linux_conda_py39_cu110_pyt171
+          python_version: '3.9'
+          pytorch_version: 1.7.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu101
+          name: linux_conda_py39_cu101_pyt180
+          python_version: '3.9'
+          pytorch_version: 1.8.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py39_cu102_pyt180
+          python_version: '3.9'
+          pytorch_version: 1.8.0
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
-          name: linux_conda_py38_cu111_pyt1101
-          python_version: '3.8'
-          pytorch_version: 1.10.1
+          name: linux_conda_py39_cu111_pyt180
+          python_version: '3.9'
+          pytorch_version: 1.8.0
      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py38_cu113_pyt1101
-          python_version: '3.8'
-          pytorch_version: 1.10.1
+          cu_version: cu101
+          name: linux_conda_py39_cu101_pyt181
+          python_version: '3.9'
+          pytorch_version: 1.8.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
-          name: linux_conda_py38_cu102_pyt1102
-          python_version: '3.8'
-          pytorch_version: 1.10.2
+          name: linux_conda_py39_cu102_pyt181
+          python_version: '3.9'
+          pytorch_version: 1.8.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
-          name: linux_conda_py38_cu111_pyt1102
-          python_version: '3.8'
-          pytorch_version: 1.10.2
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py38_cu113_pyt1102
-          python_version: '3.8'
-          pytorch_version: 1.10.2
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py38_cu102_pyt1110
-          python_version: '3.8'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu111
-          name: linux_conda_py38_cu111_pyt1110
-          python_version: '3.8'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py38_cu113_pyt1110
-          python_version: '3.8'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda115
-          context: DOCKERHUB_TOKEN
-          cu_version: cu115
-          name: linux_conda_py38_cu115_pyt1110
-          python_version: '3.8'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py38_cu102_pyt1120
-          python_version: '3.8'
-          pytorch_version: 1.12.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py38_cu113_pyt1120
-          python_version: '3.8'
-          pytorch_version: 1.12.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py38_cu116_pyt1120
-          python_version: '3.8'
-          pytorch_version: 1.12.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py38_cu102_pyt1121
-          python_version: '3.8'
-          pytorch_version: 1.12.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py38_cu113_pyt1121
-          python_version: '3.8'
-          pytorch_version: 1.12.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py38_cu116_pyt1121
-          python_version: '3.8'
-          pytorch_version: 1.12.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py38_cu116_pyt1130
-          python_version: '3.8'
-          pytorch_version: 1.13.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py38_cu117_pyt1130
-          python_version: '3.8'
-          pytorch_version: 1.13.0
+          name: linux_conda_py39_cu111_pyt181
+          python_version: '3.9'
+          pytorch_version: 1.8.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
@@ -384,222 +716,29 @@ workflows:
          name: linux_conda_py39_cu113_pyt1100
          python_version: '3.9'
          pytorch_version: 1.10.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py39_cu102_pyt1101
-          python_version: '3.9'
-          pytorch_version: 1.10.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu111
-          name: linux_conda_py39_cu111_pyt1101
-          python_version: '3.9'
-          pytorch_version: 1.10.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py39_cu113_pyt1101
-          python_version: '3.9'
-          pytorch_version: 1.10.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py39_cu102_pyt1102
-          python_version: '3.9'
-          pytorch_version: 1.10.2
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu111
-          name: linux_conda_py39_cu111_pyt1102
-          python_version: '3.9'
-          pytorch_version: 1.10.2
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py39_cu113_pyt1102
-          python_version: '3.9'
-          pytorch_version: 1.10.2
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py39_cu102_pyt1110
-          python_version: '3.9'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu111
-          name: linux_conda_py39_cu111_pyt1110
-          python_version: '3.9'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py39_cu113_pyt1110
-          python_version: '3.9'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda115
-          context: DOCKERHUB_TOKEN
-          cu_version: cu115
-          name: linux_conda_py39_cu115_pyt1110
-          python_version: '3.9'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py39_cu102_pyt1120
-          python_version: '3.9'
-          pytorch_version: 1.12.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py39_cu113_pyt1120
-          python_version: '3.9'
-          pytorch_version: 1.12.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py39_cu116_pyt1120
-          python_version: '3.9'
-          pytorch_version: 1.12.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py39_cu102_pyt1121
-          python_version: '3.9'
-          pytorch_version: 1.12.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py39_cu113_pyt1121
-          python_version: '3.9'
-          pytorch_version: 1.12.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py39_cu116_pyt1121
-          python_version: '3.9'
-          pytorch_version: 1.12.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py39_cu116_pyt1130
-          python_version: '3.9'
-          pytorch_version: 1.13.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py39_cu117_pyt1130
-          python_version: '3.9'
-          pytorch_version: 1.13.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py310_cu102_pyt1110
-          python_version: '3.10'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu111
-          name: linux_conda_py310_cu111_pyt1110
-          python_version: '3.10'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py310_cu113_pyt1110
-          python_version: '3.10'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda115
-          context: DOCKERHUB_TOKEN
-          cu_version: cu115
-          name: linux_conda_py310_cu115_pyt1110
-          python_version: '3.10'
-          pytorch_version: 1.11.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py310_cu102_pyt1120
-          python_version: '3.10'
-          pytorch_version: 1.12.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py310_cu113_pyt1120
-          python_version: '3.10'
-          pytorch_version: 1.12.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py310_cu116_pyt1120
-          python_version: '3.10'
-          pytorch_version: 1.12.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py310_cu102_pyt1121
-          python_version: '3.10'
-          pytorch_version: 1.12.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda113
-          context: DOCKERHUB_TOKEN
-          cu_version: cu113
-          name: linux_conda_py310_cu113_pyt1121
-          python_version: '3.10'
-          pytorch_version: 1.12.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py310_cu116_pyt1121
-          python_version: '3.10'
-          pytorch_version: 1.12.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py310_cu116_pyt1130
-          python_version: '3.10'
-          pytorch_version: 1.13.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py310_cu117_pyt1130
-          python_version: '3.10'
-          pytorch_version: 1.13.0
      - binary_linux_conda_cuda:
-          name: testrun_conda_cuda_py38_cu102_pyt190
+          name: testrun_conda_cuda_py37_cu102_pyt170
          context: DOCKERHUB_TOKEN
-          python_version: "3.8"
-          pytorch_version: '1.9.0'
+          python_version: "3.7"
+          pytorch_version: '1.7.0'
          cu_version: "cu102"
      - binary_macos_wheel:
          cu_version: cpu
-          name: macos_wheel_py3.8_cpu
+          name: macos_wheel_py36_cpu
+          python_version: '3.6'
+          pytorch_version: '1.9.0'
+      - binary_macos_wheel:
+          cu_version: cpu
+          name: macos_wheel_py37_cpu
+          python_version: '3.7'
+          pytorch_version: '1.9.0'
+      - binary_macos_wheel:
+          cu_version: cpu
+          name: macos_wheel_py38_cpu
          python_version: '3.8'
-          pytorch_version: '1.13.0'
+          pytorch_version: '1.9.0'
      - binary_macos_wheel:
          cu_version: cpu
-          name: macos_wheel_py3.9_cpu
+          name: macos_wheel_py39_cpu
          python_version: '3.9'
-          pytorch_version: '1.13.0'
-      - binary_macos_wheel:
-          cu_version: cpu
-          name: macos_wheel_py3.10_cpu
-          python_version: '3.10'
-          pytorch_version: '1.13.0'
+          pytorch_version: '1.9.0'
--- a/.circleci/regenerate.py
+++ b/.circleci/regenerate.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
@@ -13,60 +13,40 @@ import os.path

 import jinja2
 import yaml
-from packaging import version


 # The CUDA versions which have pytorch conda packages available for linux for each
 # version of pytorch.
 # Pytorch 1.4 also supports cuda 10.0 but we no longer build for cuda 10.0 at all.
 CONDA_CUDA_VERSIONS = {
+    "1.6.0": ["cu92", "cu101", "cu102"],
+    "1.7.0": ["cu101", "cu102", "cu110"],
+    "1.7.1": ["cu101", "cu102", "cu110"],
+    "1.8.0": ["cu101", "cu102", "cu111"],
+    "1.8.1": ["cu101", "cu102", "cu111"],
    "1.9.0": ["cu102", "cu111"],
    "1.9.1": ["cu102", "cu111"],
    "1.10.0": ["cu102", "cu111", "cu113"],
-    "1.10.1": ["cu102", "cu111", "cu113"],
-    "1.10.2": ["cu102", "cu111", "cu113"],
-    "1.11.0": ["cu102", "cu111", "cu113", "cu115"],
-    "1.12.0": ["cu102", "cu113", "cu116"],
-    "1.12.1": ["cu102", "cu113", "cu116"],
-    "1.13.0": ["cu116", "cu117"],
 }


 def conda_docker_image_for_cuda(cuda_version):
-    if cuda_version in ("cu101", "cu102", "cu111"):
-        return None
    if cuda_version == "cu113":
        return "pytorch/conda-builder:cuda113"
-    if cuda_version == "cu115":
-        return "pytorch/conda-builder:cuda115"
-    if cuda_version == "cu116":
-        return "pytorch/conda-builder:cuda116"
-    if cuda_version == "cu117":
-        return "pytorch/conda-builder:cuda117"
-    raise ValueError("Unknown cuda version")
+    return None


 def pytorch_versions_for_python(python_version):
-    if python_version in ["3.7", "3.8"]:
+    if python_version in ["3.6", "3.7", "3.8"]:
        return list(CONDA_CUDA_VERSIONS)
-    if python_version == "3.9":
-        return [
-            i
-            for i in CONDA_CUDA_VERSIONS
-            if version.Version(i) > version.Version("1.7.0")
-        ]
-    if python_version == "3.10":
-        return [
-            i
-            for i in CONDA_CUDA_VERSIONS
-            if version.Version(i) >= version.Version("1.11.0")
-        ]
+    pytorch_without_py39 = ["1.4", "1.5.0", "1.5.1", "1.6.0", "1.7.0"]
+    return [i for i in CONDA_CUDA_VERSIONS if i not in pytorch_without_py39]


 def workflows(prefix="", filter_branch=None, upload=False, indentation=6):
    w = []
    for btype in ["conda"]:
-        for python_version in ["3.8", "3.9", "3.10"]:
+        for python_version in ["3.6", "3.7", "3.8", "3.9"]:
            for pytorch_version in pytorch_versions_for_python(python_version):
                for cu_version in CONDA_CUDA_VERSIONS[pytorch_version]:
                    w += workflow_pair(
--- a/.github/CONTRIBUTING.md
+++ b/.github/CONTRIBUTING.md
@@ -16,13 +16,14 @@ We do not always accept new features, and we take the following factors into con

 When sending a PR, please ensure you complete the following steps:

-1. Fork the repo and create your branch from `main`. Follow the instructions
+1. Fork the repo and create your branch from `master`. Follow the instructions
   in [INSTALL.md](../INSTALL.md) to build the repo.
 2. If you've added code that should be tested, add tests.
 3. If you've changed any APIs, please update the documentation.
-4. Ensure the test suite passes, by running this from the project root:
+4. Ensure the test suite passes:
    ```
-    python -m unittest discover -v -s tests -t .
+    cd pytorch3d/tests
+    python -m unittest -v
    ```
 5. Make sure your code lints by running `dev/linter.sh` from  the project root.
 6. If a PR contains multiple orthogonal changes, split it into multiple separate PRs.
@@ -45,7 +46,7 @@ outlined on that page and do not file a public issue.
 ## Coding Style
 We follow these [python](http://google.github.io/styleguide/pyguide.html) and [C++](https://google.github.io/styleguide/cppguide.html) style guides.

-For the linter to work, you will need to install `black`, `flake`, `usort` and `clang-format`, and
+For the linter to work, you will need to install `black`, `flake`, `isort` and `clang-format`, and
 they need to be fairly up to date.

 ## License
--- a/.github/implicitron_config.gif
+++ b/.github/implicitron_config.gif
--- a/.github/workflows/stale.yml
+++ b/.github/workflows/stale.yml
@@ -0,0 +1,27 @@
+name: Mark stale issues and pull requests
+
+on:
+  schedule:
+  - cron: '31 5 * * *'
+
+jobs:
+  stale:
+
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: write
+
+    steps:
+    - uses: actions/stale@v3
+      with:
+        repo-token: ${{ secrets.GITHUB_TOKEN }}
+        exempt-issue-labels: 'enhancement,how-to'
+        stale-issue-message: 'This issue is stale because it has been open 30 days with no activity. Remove stale label or comment or this will be closed in 5 days.'
+        stale-pr-message: 'This PR is stale because it has been open 45 days with no activity. Remove stale label or comment or this will be closed in 10 days.'
+        close-issue-message: 'This issue was closed because it has been stalled for 5 days with no activity.'
+        close-pr-message: 'This PR was closed because it has been stalled for 10 days with no activity.'
+        days-before-issue-stale: 30
+        days-before-pr-stale: 45
+        days-before-issue-close: 5
+        days-before-pr-close: 10
--- a/INSTALL.md
+++ b/INSTALL.md
@@ -8,8 +8,8 @@
 The core library is written in PyTorch. Several components have underlying implementation in CUDA for improved performance. A subset of these components have CPU implementations in C++/PyTorch. It is advised to use PyTorch3D with GPU support in order to use all the features.

 - Linux or macOS or Windows
- Python 3.8, 3.9 or 3.10
- PyTorch 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1 or 1.13.0.
+- Python 3.6, 3.7, 3.8 or 3.9
+- PyTorch 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0, 1.9.1 or 1.10.0.
 - 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)
@@ -21,11 +21,11 @@ The runtime dependencies can be installed by running:
 ```
 conda create -n pytorch3d python=3.9
 conda activate pytorch3d
-conda install -c pytorch pytorch=1.9.1 torchvision cudatoolkit=11.6
+conda install -c pytorch pytorch=1.9.1 torchvision cudatoolkit=10.2
 conda install -c fvcore -c iopath -c conda-forge fvcore iopath
 ```

-For the CUB build time dependency, which you only need if you have CUDA older than 11.7, if you are using conda, you can continue with
+For the CUB build time dependency, if you are using conda, you can continue with
 ```
 conda install -c bottler nvidiacub
 ```
@@ -43,7 +43,7 @@ export CUB_HOME=$PWD/cub-1.10.0
 For developing on top of PyTorch3D or contributing, you will need to run the linter and tests. If you want to run any of the notebook tutorials as `docs/tutorials` or the examples in `docs/examples` you will also need matplotlib and OpenCV.
 - scikit-image
 - black
- usort
+- isort
 - flake8
 - matplotlib
 - tdqm
@@ -59,7 +59,7 @@ conda install jupyter
 pip install scikit-image matplotlib imageio plotly opencv-python

 # Tests/Linting
-pip install black usort flake8 flake8-bugbear flake8-comprehensions
+pip install black 'isort<5' flake8 flake8-bugbear flake8-comprehensions
 ```

 ## Installing prebuilt binaries for PyTorch3D
@@ -78,18 +78,18 @@ Or, to install a nightly (non-official, alpha) build:
 conda install pytorch3d -c pytorch3d-nightly
 ```
 ### 2. Install from PyPI, on Mac only.
-This works with pytorch 1.13.0 only. The build is CPU only.
+This works with pytorch 1.9.0 only. The build is CPU only.
 ```
 pip install pytorch3d
 ```

 ### 3. Install wheels for Linux
-We have prebuilt wheels with CUDA for Linux for PyTorch 1.11.0, for each of the supported CUDA versions,
-for Python 3.8 and 3.9. This is for ease of use on Google Colab.
+We have prebuilt wheels with CUDA for Linux for PyTorch 1.10.0, for each of the CUDA versions that they support,
+for Python 3.7, 3.8 and 3.9.
 These are installed in a special way.
-For example, to install for Python 3.8, PyTorch 1.11.0 and CUDA 11.3
+For example, to install for Python 3.8, PyTorch 1.9.0 and CUDA 10.2
 ```
-pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu113_pyt1110/download.html
+pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt1100/download.html
 ```

 In general, from inside IPython, or in Google Colab or a jupyter notebook, you can install with
@@ -102,7 +102,7 @@ version_str="".join([
    torch.version.cuda.replace(".",""),
    f"_pyt{pyt_version_str}"
 ])
-!pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html
+!pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html
 ```

 ## Building / installing from source.
@@ -147,10 +147,10 @@ After any necessary patching, you can go to "x64 Native Tools Command Prompt for
 cd pytorch3d
 python3 setup.py install
 ```
-
-After installing, you can run **unit tests**
+After installing, verify whether all unit tests have passed
 ```
-python3 -m unittest discover -v -s tests -t .
+cd tests
+python3 -m unittest discover -p *.py
 ```

 # FAQ
--- a/4
+++ b/4
@@ -2,7 +2,7 @@ BSD License

 For PyTorch3D software

-Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
+Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.

 Redistribution and use in source and binary forms, with or without modification,
 are permitted provided that the following conditions are met:
@@ -14,7 +14,7 @@ are permitted provided that the following conditions are met:
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.

- * Neither the name Meta nor the names of its contributors may be used to
+ * Neither the name Facebook nor the names of its contributors may be used to
   endorse or promote products derived from this software without specific
   prior written permission.

--- a/71
+++ b/71
@@ -1,71 +0,0 @@
-SRN license ( https://github.com/vsitzmann/scene-representation-networks/ ):
-
-MIT License
-
-Copyright (c) 2019 Vincent Sitzmann
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
-
-IDR license ( github.com/lioryariv/idr ):
-
-MIT License
-
-Copyright (c) 2020 Lior Yariv
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
-
-NeRF https://github.com/bmild/nerf/
-
-Copyright (c) 2020 bmild
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
--- a/README.md
+++ b/README.md
@@ -12,7 +12,6 @@ Key features include:
 - Data structure for storing and manipulating triangle meshes
 - Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions)
 - A differentiable mesh renderer
- Implicitron, see [its README](projects/implicitron_trainer), a framework for new-view synthesis via implicit representations.

 PyTorch3D is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data.
 For this reason, all operators in PyTorch3D:
@@ -56,11 +55,6 @@ Get started with PyTorch3D by trying one of the tutorial notebooks.
 |:------------------------------------------------------------:|:--------------------------------------------------:|
 | [Fit Textured Volume](https://github.com/facebookresearch/pytorch3d/blob/main/docs/tutorials/fit_textured_volume.ipynb)| [Fit A Simple Neural Radiance Field](https://github.com/facebookresearch/pytorch3d/blob/main/docs/tutorials/fit_simple_neural_radiance_field.ipynb)|

-| <img src="https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/.github/fit_textured_volume.gif" width="310"/> | <img src="https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/.github/implicitron_config.gif" width="310" height="310"/>
-|:------------------------------------------------------------:|:--------------------------------------------------:|
-| [Fit Textured Volume in Implicitron](https://github.com/facebookresearch/pytorch3d/blob/main/docs/tutorials/implicitron_volumes.ipynb)| [Implicitron Config System](https://github.com/facebookresearch/pytorch3d/blob/main/docs/tutorials/implicitron_config_system.ipynb)|
-
-



@@ -99,8 +93,6 @@ In alphabetical order:

 * Amitav Baruah
 * Steve Branson
-* Krzysztof Chalupka
-* Jiali Duan
 * Luya Gao
 * Georgia Gkioxari
 * Taylor Gordon
@@ -144,14 +136,6 @@ If you are using the pulsar backend for sphere-rendering (the `PulsarPointRender

 Please see below for a timeline of the codebase updates in reverse chronological order. We are sharing updates on the releases as well as research projects which are built with PyTorch3D. The changelogs for the releases are available under [`Releases`](https://github.com/facebookresearch/pytorch3d/releases),  and the builds can be installed using `conda` as per the instructions in [INSTALL.md](INSTALL.md).

-**[Oct 23rd 2022]:**   PyTorch3D [v0.7.1](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.1) released.
-
-**[Aug 10th 2022]:**   PyTorch3D [v0.7.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.0) released with Implicitron and MeshRasterizerOpenGL.
-
-**[Apr 28th 2022]:**   PyTorch3D [v0.6.2](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.2) released
-
-**[Dec 16th 2021]:**   PyTorch3D [v0.6.1](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.1) released
-
 **[Oct 6th 2021]:**   PyTorch3D [v0.6.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.0) released

 **[Aug 5th 2021]:**   PyTorch3D [v0.5.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.5.0) released
--- a/dev/linter.sh
+++ b/dev/linter.sh
@@ -1,5 +1,5 @@
 #!/bin/bash -e
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
@@ -7,17 +7,23 @@

 # Run this script at project root by "./dev/linter.sh" before you commit

+{
+  V=$(black --version|cut '-d ' -f3)
+  code='import distutils.version; assert "19.3" < distutils.version.LooseVersion("'$V'")'
+  PYTHON=false
+  command -v python > /dev/null && PYTHON=python
+  command -v python3 > /dev/null && PYTHON=python3
+  ${PYTHON} -c "${code}" 2> /dev/null
+} || {
+  echo "Linter requires black 19.3b0 or higher!"
+  exit 1
+}
+
 DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
 DIR=$(dirname "${DIR}")

-if [[ -f "${DIR}/TARGETS" ]]
-then
-  pyfmt "${DIR}"
-else
-# run usort externally only
-  echo "Running usort..."
-  usort  "${DIR}"
-fi
+echo "Running isort..."
+isort -y -sp "${DIR}"

 echo "Running black..."
 black "${DIR}"
@@ -30,7 +36,7 @@ clangformat=$(command -v clang-format-8 || echo clang-format)
 find "${DIR}" -regex ".*\.\(cpp\|c\|cc\|cu\|cuh\|cxx\|h\|hh\|hpp\|hxx\|tcc\|mm\|m\)" -print0 | xargs -0 "${clangformat}" -i

 # Run arc and pyre internally only.
-if [[ -f "${DIR}/TARGETS" ]]
+if [[ -f "${DIR}/tests/TARGETS" ]]
 then
  (cd "${DIR}"; command -v arc > /dev/null && arc lint) || true

--- a/dev/run_tutorials.sh
+++ b/dev/run_tutorials.sh
@@ -1,5 +1,5 @@
 #!/usr/bin/bash
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/dev/test_list.py
+++ b/dev/test_list.py
@@ -1,65 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-import ast
-from pathlib import Path
-from typing import List
-
-
-"""
-This module outputs a list of tests for completion.
-It has no dependencies.
-"""
-
-
-def get_test_files() -> List[Path]:
-    root = Path(__file__).parent.parent
-    dirs = ["tests", "projects/implicitron_trainer"]
-    return [i for dir in dirs for i in (root / dir).glob("**/test*.py")]
-
-
-def tests_from_file(path: Path, base: str) -> List[str]:
-    """
-    Returns all the tests in the given file, in format
-    expected as arguments when running the tests.
-    e.g.
-        file_stem
-        file_stem.TestFunctionality
-        file_stem.TestFunctionality.test_f
-        file_stem.TestFunctionality.test_g
-    """
-    with open(path) as f:
-        node = ast.parse(f.read())
-    out = [base]
-    for cls in node.body:
-        if not isinstance(cls, ast.ClassDef):
-            continue
-        if not cls.name.startswith("Test"):
-            continue
-        class_base = base + "." + cls.name
-        out.append(class_base)
-        for method in cls.body:
-            if not isinstance(method, ast.FunctionDef):
-                continue
-            if not method.name.startswith("test"):
-                continue
-            out.append(class_base + "." + method.name)
-    return out
-
-
-def main() -> None:
-    files = get_test_files()
-    test_root = Path(__file__).parent.parent
-    all_tests = []
-    for f in files:
-        file_base = str(f.relative_to(test_root))[:-3].replace("/", ".")
-        all_tests.extend(tests_from_file(f, file_base))
-    for test in sorted(all_tests):
-        print(test)
-
-
-if __name__ == "__main__":
-    main()
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -1,8 +1,4 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved

 # Minimal makefile for Sphinx documentation

--- a/docs/conf.py
+++ b/docs/conf.py
@@ -1,5 +1,5 @@
 # -*- coding: utf-8 -*-
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/docs/examples/pulsar_basic.py
+++ b/docs/examples/pulsar_basic.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/docs/examples/pulsar_basic_unified.py
+++ b/docs/examples/pulsar_basic_unified.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/docs/examples/pulsar_cam.py
+++ b/docs/examples/pulsar_cam.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/docs/examples/pulsar_cam_unified.py
+++ b/docs/examples/pulsar_cam_unified.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/docs/examples/pulsar_multiview.py
+++ b/docs/examples/pulsar_multiview.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/docs/examples/pulsar_optimization.py
+++ b/docs/examples/pulsar_optimization.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/docs/examples/pulsar_optimization_unified.py
+++ b/docs/examples/pulsar_optimization_unified.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Facebook, Inc. and its affiliates.
 # All rights reserved.
 #
 # This source code is licensed under the BSD-style license found in the
--- a/docs/generate_stubs.py
+++ b/docs/generate_stubs.py
@@ -1,162 +0,0 @@
-#!/usr/bin/env python3
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-"""
-This script makes the stubs for implicitron in docs/modules.
-"""
-
-from pathlib import Path
-
-ROOT_DIR = Path(__file__).resolve().parent.parent
-
-
-def paths_to_modules(paths):
-    """
-    Given an iterable of paths, return equivalent list of modules.
-    """
-    return [
-        str(i.relative_to(ROOT_DIR))[:-3].replace("/", ".")
-        for i in paths
-        if "__pycache__" not in str(i)
-    ]
-
-
-def create_one_file(title, description, sources, dest_file):
-    with open(dest_file, "w") as f:
-        print(title, file=f)
-        print("=" * len(title), file=f)
-        print(file=f)
-        print(description, file=f)
-        for source in sources:
-            if source.find("._") != -1:
-                # ignore internal modules including __init__.py
-                continue
-            print(f"\n.. automodule:: {source}", file=f)
-            print("    :members:", file=f)
-            print("    :undoc-members:", file=f)
-            print("    :show-inheritance:", file=f)
-
-
-def iterate_directory(directory_path, dest):
-    """
-    Create a file for each module in the given path
-    """
-    toc = []
-    if not dest.exists():
-        dest.mkdir()
-    for file in sorted(directory_path.glob("*.py")):
-        if file.stem.startswith("_"):
-            continue
-        module = paths_to_modules([file])
-        create_one_file(module[0], file.stem, module, dest / f"{file.stem}.rst")
-        toc.append(file.stem)
-
-    for subdir in directory_path.iterdir():
-        if not subdir.is_dir():
-            continue
-        if subdir.name == "fb":
-            continue
-        if subdir.name.startswith("_"):
-            continue
-        iterate_directory(subdir, dest / (subdir.name))
-        toc.append(f"{subdir.name}/index")
-
-    paths_to_modules_ = paths_to_modules([directory_path.with_suffix(".XX")])
-    if len(paths_to_modules_) == 0:
-        return
-    title = paths_to_modules_[0]
-
-    with open(dest / "index.rst", "w") as f:
-        print(title, file=f)
-        print("=" * len(title), file=f)
-        print("\n.. toctree::\n", file=f)
-        for item in toc:
-            print(f"    {item}", file=f)
-
-
-def make_directory_index(title: str, directory_path: Path):
-    index_file = directory_path / "index.rst"
-    directory_rsts = sorted(directory_path.glob("*.rst"))
-    subdirs = sorted([f for f in directory_path.iterdir() if f.is_dir()])
-    with open(index_file, "w") as f:
-        print(title, file=f)
-        print("=" * len(title), file=f)
-        print("\n.. toctree::\n", file=f)
-        for subdir in subdirs:
-            print(f"    {subdir.stem}/index.rst", file=f)
-        for rst in directory_rsts:
-            if rst.stem == "index":
-                continue
-            print(f"    {rst.stem}", file=f)
-
-
-def do_implicitron():
-    DEST_DIR = Path(__file__).resolve().parent / "modules/implicitron"
-
-    iterate_directory(ROOT_DIR / "pytorch3d/implicitron/models", DEST_DIR / "models")
-
-    unwanted_tools = ["configurable", "depth_cleanup", "utils"]
-    tools_sources = sorted(ROOT_DIR.glob("pytorch3d/implicitron/tools/*.py"))
-    tools_modules = [
-        str(i.relative_to(ROOT_DIR))[:-3].replace("/", ".")
-        for i in tools_sources
-        if i.stem not in unwanted_tools
-    ]
-    create_one_file(
-        "pytorch3d.implicitron.tools",
-        "Tools for implicitron",
-        tools_modules,
-        DEST_DIR / "tools.rst",
-    )
-
-    dataset_files = sorted(ROOT_DIR.glob("pytorch3d/implicitron/dataset/*.py"))
-    basic_dataset = [
-        "dataset_base",
-        "dataset_map_provider",
-        "data_loader_map_provider",
-        "data_source",
-        "scene_batch_sampler",
-    ]
-    basic_dataset_modules = [
-        f"pytorch3d.implicitron.dataset.{i}" for i in basic_dataset
-    ]
-    create_one_file(
-        "pytorch3d.implicitron.dataset in general",
-        "Basics of data for implicitron",
-        basic_dataset_modules,
-        DEST_DIR / "data_basics.rst",
-    )
-
-    specific_dataset_files = [
-        i for i in dataset_files if i.stem.find("_dataset_map_provider") != -1
-    ]
-    create_one_file(
-        "pytorch3d.implicitron.dataset specific datasets",
-        "specific datasets",
-        paths_to_modules(specific_dataset_files),
-        DEST_DIR / "datasets.rst",
-    )
-
-    evaluation_files = sorted(ROOT_DIR.glob("pytorch3d/implicitron/evaluation/*.py"))
-    create_one_file(
-        "pytorch3d.implicitron.evaluation",
-        "evaluation",
-        paths_to_modules(evaluation_files),
-        DEST_DIR / "evaluation.rst",
-    )
-
-    make_directory_index("pytorch3d.implicitron", DEST_DIR)
-
-
-def iterate_toplevel_module(name: str) -> None:
-    dest_dir = Path(__file__).resolve().parent / "modules" / name
-    iterate_directory(ROOT_DIR / "pytorch3d" / name, dest_dir)
-
-
-do_implicitron()
-iterate_toplevel_module("renderer")
-iterate_toplevel_module("vis")
--- a/docs/modules/implicitron/data_basics.rst
+++ b/docs/modules/implicitron/data_basics.rst
@@ -1,29 +0,0 @@
-pytorch3d.implicitron.dataset in general
-========================================
-
-Basics of data for implicitron
-
-.. automodule:: pytorch3d.implicitron.dataset.dataset_base
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.dataset.dataset_map_provider
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.dataset.data_loader_map_provider
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.dataset.data_source
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.dataset.scene_batch_sampler
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/datasets.rst
+++ b/docs/modules/implicitron/datasets.rst
@@ -1,29 +0,0 @@
-pytorch3d.implicitron.dataset specific datasets
-===============================================
-
-specific datasets
-
-.. automodule:: pytorch3d.implicitron.dataset.blender_dataset_map_provider
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.dataset.json_index_dataset_map_provider
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.dataset.json_index_dataset_map_provider_v2
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.dataset.llff_dataset_map_provider
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.dataset.rendered_mesh_dataset_map_provider
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/evaluation.rst
+++ b/docs/modules/implicitron/evaluation.rst
@@ -1,14 +0,0 @@
-pytorch3d.implicitron.evaluation
-================================
-
-evaluation
-
-.. automodule:: pytorch3d.implicitron.evaluation.evaluate_new_view_synthesis
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.evaluation.evaluator
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/index.rst
+++ b/docs/modules/implicitron/index.rst
@@ -1,10 +0,0 @@
-pytorch3d.implicitron
-=====================
-
-.. toctree::
-
-    models/index.rst
-    data_basics
-    datasets
-    evaluation
-    tools
--- a/docs/modules/implicitron/models/base_model.rst
+++ b/docs/modules/implicitron/models/base_model.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.base_model
-=======================================
-
-base_model
-
-.. automodule:: pytorch3d.implicitron.models.base_model
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/feature_extractor/feature_extractor.rst
+++ b/docs/modules/implicitron/models/feature_extractor/feature_extractor.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.feature_extractor.feature_extractor
-================================================================
-
-feature_extractor
-
-.. automodule:: pytorch3d.implicitron.models.feature_extractor.feature_extractor
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/feature_extractor/index.rst
+++ b/docs/modules/implicitron/models/feature_extractor/index.rst
@@ -1,7 +0,0 @@
-pytorch3d.implicitron.models.feature_extractor
-==============================================
-
-.. toctree::
-
-    feature_extractor
-    resnet_feature_extractor
--- a/docs/modules/implicitron/models/feature_extractor/resnet_feature_extractor.rst
+++ b/docs/modules/implicitron/models/feature_extractor/resnet_feature_extractor.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.feature_extractor.resnet_feature_extractor
-=======================================================================
-
-resnet_feature_extractor
-
-.. automodule:: pytorch3d.implicitron.models.feature_extractor.resnet_feature_extractor
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/generic_model.rst
+++ b/docs/modules/implicitron/models/generic_model.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.generic_model
-==========================================
-
-generic_model
-
-.. automodule:: pytorch3d.implicitron.models.generic_model
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/global_encoder/autodecoder.rst
+++ b/docs/modules/implicitron/models/global_encoder/autodecoder.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.global_encoder.autodecoder
-=======================================================
-
-autodecoder
-
-.. automodule:: pytorch3d.implicitron.models.global_encoder.autodecoder
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/global_encoder/global_encoder.rst
+++ b/docs/modules/implicitron/models/global_encoder/global_encoder.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.global_encoder.global_encoder
-==========================================================
-
-global_encoder
-
-.. automodule:: pytorch3d.implicitron.models.global_encoder.global_encoder
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/global_encoder/index.rst
+++ b/docs/modules/implicitron/models/global_encoder/index.rst
@@ -1,7 +0,0 @@
-pytorch3d.implicitron.models.global_encoder
-===========================================
-
-.. toctree::
-
-    autodecoder
-    global_encoder
--- a/docs/modules/implicitron/models/implicit_function/base.rst
+++ b/docs/modules/implicitron/models/implicit_function/base.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.implicit_function.base
-===================================================
-
-base
-
-.. automodule:: pytorch3d.implicitron.models.implicit_function.base
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/implicit_function/decoding_functions.rst
+++ b/docs/modules/implicitron/models/implicit_function/decoding_functions.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.implicit_function.decoding_functions
-=================================================================
-
-decoding_functions
-
-.. automodule:: pytorch3d.implicitron.models.implicit_function.decoding_functions
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/implicit_function/idr_feature_field.rst
+++ b/docs/modules/implicitron/models/implicit_function/idr_feature_field.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.implicit_function.idr_feature_field
-================================================================
-
-idr_feature_field
-
-.. automodule:: pytorch3d.implicitron.models.implicit_function.idr_feature_field
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/implicit_function/index.rst
+++ b/docs/modules/implicitron/models/implicit_function/index.rst
@@ -1,13 +0,0 @@
-pytorch3d.implicitron.models.implicit_function
-==============================================
-
-.. toctree::
-
-    base
-    decoding_functions
-    idr_feature_field
-    neural_radiance_field
-    scene_representation_networks
-    utils
-    voxel_grid
-    voxel_grid_implicit_function
--- a/docs/modules/implicitron/models/implicit_function/neural_radiance_field.rst
+++ b/docs/modules/implicitron/models/implicit_function/neural_radiance_field.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.implicit_function.neural_radiance_field
-====================================================================
-
-neural_radiance_field
-
-.. automodule:: pytorch3d.implicitron.models.implicit_function.neural_radiance_field
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/implicit_function/scene_representation_networks.rst
+++ b/docs/modules/implicitron/models/implicit_function/scene_representation_networks.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.implicit_function.scene_representation_networks
-============================================================================
-
-scene_representation_networks
-
-.. automodule:: pytorch3d.implicitron.models.implicit_function.scene_representation_networks
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/implicit_function/utils.rst
+++ b/docs/modules/implicitron/models/implicit_function/utils.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.implicit_function.utils
-====================================================
-
-utils
-
-.. automodule:: pytorch3d.implicitron.models.implicit_function.utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/implicit_function/voxel_grid.rst
+++ b/docs/modules/implicitron/models/implicit_function/voxel_grid.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.implicit_function.voxel_grid
-=========================================================
-
-voxel_grid
-
-.. automodule:: pytorch3d.implicitron.models.implicit_function.voxel_grid
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/implicit_function/voxel_grid_implicit_function.rst
+++ b/docs/modules/implicitron/models/implicit_function/voxel_grid_implicit_function.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.implicit_function.voxel_grid_implicit_function
-===========================================================================
-
-voxel_grid_implicit_function
-
-.. automodule:: pytorch3d.implicitron.models.implicit_function.voxel_grid_implicit_function
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/index.rst
+++ b/docs/modules/implicitron/models/index.rst
@@ -1,15 +0,0 @@
-pytorch3d.implicitron.models
-============================
-
-.. toctree::
-
-    base_model
-    generic_model
-    metrics
-    model_dbir
-    feature_extractor/index
-    global_encoder/index
-    implicit_function/index
-    renderer/index
-    view_pooler/index
-    visualization/index
--- a/docs/modules/implicitron/models/metrics.rst
+++ b/docs/modules/implicitron/models/metrics.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.metrics
-====================================
-
-metrics
-
-.. automodule:: pytorch3d.implicitron.models.metrics
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/model_dbir.rst
+++ b/docs/modules/implicitron/models/model_dbir.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.model_dbir
-=======================================
-
-model_dbir
-
-.. automodule:: pytorch3d.implicitron.models.model_dbir
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/renderer/base.rst
+++ b/docs/modules/implicitron/models/renderer/base.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.renderer.base
-==========================================
-
-base
-
-.. automodule:: pytorch3d.implicitron.models.renderer.base
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/renderer/index.rst
+++ b/docs/modules/implicitron/models/renderer/index.rst
@@ -1,14 +0,0 @@
-pytorch3d.implicitron.models.renderer
-=====================================
-
-.. toctree::
-
-    base
-    lstm_renderer
-    multipass_ea
-    ray_point_refiner
-    ray_sampler
-    ray_tracing
-    raymarcher
-    rgb_net
-    sdf_renderer
--- a/docs/modules/implicitron/models/renderer/lstm_renderer.rst
+++ b/docs/modules/implicitron/models/renderer/lstm_renderer.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.renderer.lstm_renderer
-===================================================
-
-lstm_renderer
-
-.. automodule:: pytorch3d.implicitron.models.renderer.lstm_renderer
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/renderer/multipass_ea.rst
+++ b/docs/modules/implicitron/models/renderer/multipass_ea.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.renderer.multipass_ea
-==================================================
-
-multipass_ea
-
-.. automodule:: pytorch3d.implicitron.models.renderer.multipass_ea
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/renderer/ray_point_refiner.rst
+++ b/docs/modules/implicitron/models/renderer/ray_point_refiner.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.renderer.ray_point_refiner
-=======================================================
-
-ray_point_refiner
-
-.. automodule:: pytorch3d.implicitron.models.renderer.ray_point_refiner
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/renderer/ray_sampler.rst
+++ b/docs/modules/implicitron/models/renderer/ray_sampler.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.renderer.ray_sampler
-=================================================
-
-ray_sampler
-
-.. automodule:: pytorch3d.implicitron.models.renderer.ray_sampler
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/renderer/ray_tracing.rst
+++ b/docs/modules/implicitron/models/renderer/ray_tracing.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.renderer.ray_tracing
-=================================================
-
-ray_tracing
-
-.. automodule:: pytorch3d.implicitron.models.renderer.ray_tracing
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/renderer/raymarcher.rst
+++ b/docs/modules/implicitron/models/renderer/raymarcher.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.renderer.raymarcher
-================================================
-
-raymarcher
-
-.. automodule:: pytorch3d.implicitron.models.renderer.raymarcher
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/renderer/rgb_net.rst
+++ b/docs/modules/implicitron/models/renderer/rgb_net.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.renderer.rgb_net
-=============================================
-
-rgb_net
-
-.. automodule:: pytorch3d.implicitron.models.renderer.rgb_net
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/renderer/sdf_renderer.rst
+++ b/docs/modules/implicitron/models/renderer/sdf_renderer.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.renderer.sdf_renderer
-==================================================
-
-sdf_renderer
-
-.. automodule:: pytorch3d.implicitron.models.renderer.sdf_renderer
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/view_pooler/feature_aggregator.rst
+++ b/docs/modules/implicitron/models/view_pooler/feature_aggregator.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.view_pooler.feature_aggregator
-===========================================================
-
-feature_aggregator
-
-.. automodule:: pytorch3d.implicitron.models.view_pooler.feature_aggregator
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/view_pooler/index.rst
+++ b/docs/modules/implicitron/models/view_pooler/index.rst
@@ -1,8 +0,0 @@
-pytorch3d.implicitron.models.view_pooler
-========================================
-
-.. toctree::
-
-    feature_aggregator
-    view_pooler
-    view_sampler
--- a/docs/modules/implicitron/models/view_pooler/view_pooler.rst
+++ b/docs/modules/implicitron/models/view_pooler/view_pooler.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.view_pooler.view_pooler
-====================================================
-
-view_pooler
-
-.. automodule:: pytorch3d.implicitron.models.view_pooler.view_pooler
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/view_pooler/view_sampler.rst
+++ b/docs/modules/implicitron/models/view_pooler/view_sampler.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.view_pooler.view_sampler
-=====================================================
-
-view_sampler
-
-.. automodule:: pytorch3d.implicitron.models.view_pooler.view_sampler
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/models/visualization/index.rst
+++ b/docs/modules/implicitron/models/visualization/index.rst
@@ -1,6 +0,0 @@
-pytorch3d.implicitron.models.visualization
-==========================================
-
-.. toctree::
-
-    render_flyaround
--- a/docs/modules/implicitron/models/visualization/render_flyaround.rst
+++ b/docs/modules/implicitron/models/visualization/render_flyaround.rst
@@ -1,9 +0,0 @@
-pytorch3d.implicitron.models.visualization.render_flyaround
-===========================================================
-
-render_flyaround
-
-.. automodule:: pytorch3d.implicitron.models.visualization.render_flyaround
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/implicitron/tools.rst
+++ b/docs/modules/implicitron/tools.rst
@@ -1,64 +0,0 @@
-pytorch3d.implicitron.tools
-===========================
-
-Tools for implicitron
-
-.. automodule:: pytorch3d.implicitron.tools.camera_utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.circle_fitting
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.config
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.eval_video_trajectory
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.image_utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.metric_utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.model_io
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.point_cloud_utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.rasterize_mc
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.stats
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.video_writer
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: pytorch3d.implicitron.tools.vis_utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/index.rst
+++ b/docs/modules/index.rst
@@ -3,6 +3,7 @@ API Documentation

 .. toctree::

+    common
    structures
    io
    loss
@@ -11,6 +12,3 @@ API Documentation
    transforms
    utils
    datasets
-    common
-    vis/index
-    implicitron/index
--- a/docs/modules/renderer/blending.rst
+++ b/docs/modules/renderer/blending.rst
@@ -1,9 +1,7 @@
-pytorch3d.renderer.blending
-===========================
-
 blending
+===========================

 .. automodule:: pytorch3d.renderer.blending
    :members:
    :undoc-members:
-    :show-inheritance:
+    :show-inheritance:
--- a/docs/modules/renderer/camera_conversions.rst
+++ b/docs/modules/renderer/camera_conversions.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.camera_conversions
-=====================================
-
-camera_conversions
-
-.. automodule:: pytorch3d.renderer.camera_conversions
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/camera_utils.rst
+++ b/docs/modules/renderer/camera_utils.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.camera_utils
-===============================
-
-camera_utils
-
-.. automodule:: pytorch3d.renderer.camera_utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/cameras.rst
+++ b/docs/modules/renderer/cameras.rst
@@ -1,9 +1,7 @@
-pytorch3d.renderer.cameras
-==========================
-
 cameras
+===========================

 .. automodule:: pytorch3d.renderer.cameras
    :members:
    :undoc-members:
-    :show-inheritance:
+    :show-inheritance:
--- a/docs/modules/renderer/compositing.rst
+++ b/docs/modules/renderer/compositing.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.compositing
-==============================
-
-compositing
-
-.. automodule:: pytorch3d.renderer.compositing
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/fisheyecameras.rst
+++ b/docs/modules/renderer/fisheyecameras.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.fisheyecameras
-=================================
-
-fisheyecameras
-
-.. automodule:: pytorch3d.renderer.fisheyecameras
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/implicit/harmonic_embedding.rst
+++ b/docs/modules/renderer/implicit/harmonic_embedding.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.implicit.harmonic_embedding
-==============================================
-
-harmonic_embedding
-
-.. automodule:: pytorch3d.renderer.implicit.harmonic_embedding
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/implicit/index.rst
+++ b/docs/modules/renderer/implicit/index.rst
@@ -1,11 +0,0 @@
-pytorch3d.renderer.implicit
-===========================
-
-.. toctree::
-
-    harmonic_embedding
-    raymarching
-    raysampling
-    renderer
-    sample_pdf
-    utils
--- a/docs/modules/renderer/implicit/raymarching.rst
+++ b/docs/modules/renderer/implicit/raymarching.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.implicit.raymarching
-=======================================
-
-raymarching
-
-.. automodule:: pytorch3d.renderer.implicit.raymarching
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/implicit/raysampling.rst
+++ b/docs/modules/renderer/implicit/raysampling.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.implicit.raysampling
-=======================================
-
-raysampling
-
-.. automodule:: pytorch3d.renderer.implicit.raysampling
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/implicit/renderer.rst
+++ b/docs/modules/renderer/implicit/renderer.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.implicit.renderer
-====================================
-
-renderer
-
-.. automodule:: pytorch3d.renderer.implicit.renderer
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/implicit/sample_pdf.rst
+++ b/docs/modules/renderer/implicit/sample_pdf.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.implicit.sample_pdf
-======================================
-
-sample_pdf
-
-.. automodule:: pytorch3d.renderer.implicit.sample_pdf
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/implicit/utils.rst
+++ b/docs/modules/renderer/implicit/utils.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.implicit.utils
-=================================
-
-utils
-
-.. automodule:: pytorch3d.renderer.implicit.utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/index.rst
+++ b/docs/modules/renderer/index.rst
@@ -1,19 +1,15 @@
-pytorch3d.renderer
-==================
+pytorch3d.renderer 
+===========================

 .. toctree::

-    blending
-    camera_conversions
-    camera_utils
+    rasterizer
    cameras
-    compositing
-    fisheyecameras
    lighting
    materials
-    splatter_blend
-    utils
-    implicit/index
-    mesh/index
-    opengl/index
-    points/index
+    texturing
+    blending
+    shading
+    shader
+    renderer
+    utils
--- a/docs/modules/renderer/lighting.rst
+++ b/docs/modules/renderer/lighting.rst
@@ -1,9 +1,6 @@
-pytorch3d.renderer.lighting
-===========================
-
 lighting
+===========================

 .. automodule:: pytorch3d.renderer.lighting
    :members:
-    :undoc-members:
-    :show-inheritance:
+    :undoc-members:
--- a/docs/modules/renderer/materials.rst
+++ b/docs/modules/renderer/materials.rst
@@ -1,9 +1,7 @@
-pytorch3d.renderer.materials
-============================
-
 materials
+===========================

 .. automodule:: pytorch3d.renderer.materials
    :members:
    :undoc-members:
-    :show-inheritance:
+    :show-inheritance:
--- a/docs/modules/renderer/mesh/clip.rst
+++ b/docs/modules/renderer/mesh/clip.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.mesh.clip
-============================
-
-clip
-
-.. automodule:: pytorch3d.renderer.mesh.clip
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/mesh/index.rst
+++ b/docs/modules/renderer/mesh/index.rst
@@ -1,13 +0,0 @@
-pytorch3d.renderer.mesh
-=======================
-
-.. toctree::
-
-    clip
-    rasterize_meshes
-    rasterizer
-    renderer
-    shader
-    shading
-    textures
-    utils
--- a/docs/modules/renderer/mesh/rasterize_meshes.rst
+++ b/docs/modules/renderer/mesh/rasterize_meshes.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.mesh.rasterize_meshes
-========================================
-
-rasterize_meshes
-
-.. automodule:: pytorch3d.renderer.mesh.rasterize_meshes
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/mesh/rasterizer.rst
+++ b/docs/modules/renderer/mesh/rasterizer.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.mesh.rasterizer
-==================================
-
-rasterizer
-
-.. automodule:: pytorch3d.renderer.mesh.rasterizer
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/mesh/renderer.rst
+++ b/docs/modules/renderer/mesh/renderer.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.mesh.renderer
-================================
-
-renderer
-
-.. automodule:: pytorch3d.renderer.mesh.renderer
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/mesh/textures.rst
+++ b/docs/modules/renderer/mesh/textures.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.mesh.textures
-================================
-
-textures
-
-.. automodule:: pytorch3d.renderer.mesh.textures
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/mesh/utils.rst
+++ b/docs/modules/renderer/mesh/utils.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.mesh.utils
-=============================
-
-utils
-
-.. automodule:: pytorch3d.renderer.mesh.utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/opengl/index.rst
+++ b/docs/modules/renderer/opengl/index.rst
@@ -1,7 +0,0 @@
-pytorch3d.renderer.opengl
-=========================
-
-.. toctree::
-
-    opengl_utils
-    rasterizer_opengl
--- a/docs/modules/renderer/opengl/opengl_utils.rst
+++ b/docs/modules/renderer/opengl/opengl_utils.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.opengl.opengl_utils
-======================================
-
-opengl_utils
-
-.. automodule:: pytorch3d.renderer.opengl.opengl_utils
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/opengl/rasterizer_opengl.rst
+++ b/docs/modules/renderer/opengl/rasterizer_opengl.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.opengl.rasterizer_opengl
-===========================================
-
-rasterizer_opengl
-
-.. automodule:: pytorch3d.renderer.opengl.rasterizer_opengl
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/points/compositor.rst
+++ b/docs/modules/renderer/points/compositor.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.points.compositor
-====================================
-
-compositor
-
-.. automodule:: pytorch3d.renderer.points.compositor
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/points/index.rst
+++ b/docs/modules/renderer/points/index.rst
@@ -1,10 +0,0 @@
-pytorch3d.renderer.points
-=========================
-
-.. toctree::
-
-    compositor
-    rasterize_points
-    rasterizer
-    renderer
-    pulsar/index
--- a/docs/modules/renderer/points/pulsar/index.rst
+++ b/docs/modules/renderer/points/pulsar/index.rst
@@ -1,7 +0,0 @@
-pytorch3d.renderer.points.pulsar
-================================
-
-.. toctree::
-
-    renderer
-    unified
--- a/docs/modules/renderer/points/pulsar/renderer.rst
+++ b/docs/modules/renderer/points/pulsar/renderer.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.points.pulsar.renderer
-=========================================
-
-renderer
-
-.. automodule:: pytorch3d.renderer.points.pulsar.renderer
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/points/pulsar/unified.rst
+++ b/docs/modules/renderer/points/pulsar/unified.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.points.pulsar.unified
-========================================
-
-unified
-
-.. automodule:: pytorch3d.renderer.points.pulsar.unified
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/points/rasterize_points.rst
+++ b/docs/modules/renderer/points/rasterize_points.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.points.rasterize_points
-==========================================
-
-rasterize_points
-
-.. automodule:: pytorch3d.renderer.points.rasterize_points
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/docs/modules/renderer/points/rasterizer.rst
+++ b/docs/modules/renderer/points/rasterizer.rst
@@ -1,9 +0,0 @@
-pytorch3d.renderer.points.rasterizer
-====================================
-
-rasterizer
-
-.. automodule:: pytorch3d.renderer.points.rasterizer
-    :members:
-    :undoc-members:
-    :show-inheritance:
--- a/Show More
+++ b/Show More