[pulsar] Removing LOGGER.debug statements for performance gain.

We identified that these logging statements can deteriorate performance in certain cases. I propose removing them from the regular renderer implementation and letting individuals re-insert debug logging wherever needed on a case-by-case basis.

.circleci/config.in.yml

@@ -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:
@@ -154,12 +154,12 @@ 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 +182,23 @@ workflows:
       #     context: DOCKERHUB_TOKEN
       {{workflows()}}
       - binary_linux_conda_cuda:
-          name: testrun_conda_cuda_py38_cu102_pyt190
+          name: testrun_conda_cuda_py37_cu102_pyt190
           context: DOCKERHUB_TOKEN
-          python_version: "3.8"
+          python_version: "3.7"
           pytorch_version: '1.9.0'
           cu_version: "cu102"
       - binary_macos_wheel:
           cu_version: cpu
-          name: macos_wheel_py3.8_cpu
+          name: macos_wheel_py37_cpu
+          python_version: '3.7'
+          pytorch_version: '1.12.0'
+      - binary_macos_wheel:
+          cu_version: cpu
+          name: macos_wheel_py38_cpu
           python_version: '3.8'
-          pytorch_version: '1.13.0'
+          pytorch_version: '1.12.0'
       - 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: '1.12.0'

.circleci/config.yml

@@ -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:
@@ -154,12 +154,12 @@ 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 +180,229 @@ workflows:
     jobs:
       # - main:
       #     context: DOCKERHUB_TOKEN
+      - 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: cu102
+          name: linux_conda_py37_cu102_pyt1101
+          python_version: '3.7'
+          pytorch_version: 1.10.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py37_cu111_pyt1101
+          python_version: '3.7'
+          pytorch_version: 1.10.1
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda113
+          context: DOCKERHUB_TOKEN
+          cu_version: cu113
+          name: linux_conda_py37_cu113_pyt1101
+          python_version: '3.7'
+          pytorch_version: 1.10.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt1102
+          python_version: '3.7'
+          pytorch_version: 1.10.2
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py37_cu111_pyt1102
+          python_version: '3.7'
+          pytorch_version: 1.10.2
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda113
+          context: DOCKERHUB_TOKEN
+          cu_version: cu113
+          name: linux_conda_py37_cu113_pyt1102
+          python_version: '3.7'
+          pytorch_version: 1.10.2
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt1110
+          python_version: '3.7'
+          pytorch_version: 1.11.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py37_cu111_pyt1110
+          python_version: '3.7'
+          pytorch_version: 1.11.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda113
+          context: DOCKERHUB_TOKEN
+          cu_version: cu113
+          name: linux_conda_py37_cu113_pyt1110
+          python_version: '3.7'
+          pytorch_version: 1.11.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda115
+          context: DOCKERHUB_TOKEN
+          cu_version: cu115
+          name: linux_conda_py37_cu115_pyt1110
+          python_version: '3.7'
+          pytorch_version: 1.11.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt1120
+          python_version: '3.7'
+          pytorch_version: 1.12.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda113
+          context: DOCKERHUB_TOKEN
+          cu_version: cu113
+          name: linux_conda_py37_cu113_pyt1120
+          python_version: '3.7'
+          pytorch_version: 1.12.0
+      - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda116
+          context: DOCKERHUB_TOKEN
+          cu_version: cu116
+          name: linux_conda_py37_cu116_pyt1120
+          python_version: '3.7'
+          pytorch_version: 1.12.0
+      - 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
+          name: linux_conda_py38_cu102_pyt190
+          python_version: '3.8'
+          pytorch_version: 1.9.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py38_cu111_pyt190
+          python_version: '3.8'
+          pytorch_version: 1.9.0
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu102
+          name: linux_conda_py38_cu102_pyt191
+          python_version: '3.8'
+          pytorch_version: 1.9.1
+      - binary_linux_conda:
+          context: DOCKERHUB_TOKEN
+          cu_version: cu111
+          name: linux_conda_py38_cu111_pyt191
+          python_version: '3.8'
+          pytorch_version: 1.9.1
       - binary_linux_conda:
           context: DOCKERHUB_TOKEN
           cu_version: cu102
@@ -283,82 +506,66 @@ workflows:
           name: linux_conda_py38_cu116_pyt1120
           python_version: '3.8'
           pytorch_version: 1.12.0
+      - 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_py38_cu102_pyt1121
-          python_version: '3.8'
-          pytorch_version: 1.12.1
+          name: linux_conda_py39_cu102_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_pyt1121
-          python_version: '3.8'
-          pytorch_version: 1.12.1
+          cu_version: cu111
+          name: linux_conda_py39_cu111_pyt180
+          python_version: '3.9'
+          pytorch_version: 1.8.0
       - 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
+          cu_version: cu101
+          name: linux_conda_py39_cu101_pyt181
+          python_version: '3.9'
+          pytorch_version: 1.8.1
       - 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
+          cu_version: cu102
+          name: linux_conda_py39_cu102_pyt181
+          python_version: '3.9'
+          pytorch_version: 1.8.1
       - 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
+          cu_version: cu111
+          name: linux_conda_py39_cu111_pyt181
+          python_version: '3.9'
+          pytorch_version: 1.8.1
       - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda116
           context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py38_cu116_pyt1131
-          python_version: '3.8'
-          pytorch_version: 1.13.1
+          cu_version: cu102
+          name: linux_conda_py39_cu102_pyt190
+          python_version: '3.9'
+          pytorch_version: 1.9.0
       - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
           context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py38_cu117_pyt1131
-          python_version: '3.8'
-          pytorch_version: 1.13.1
+          cu_version: cu111
+          name: linux_conda_py39_cu111_pyt190
+          python_version: '3.9'
+          pytorch_version: 1.9.0
       - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
           context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py38_cu117_pyt200
-          python_version: '3.8'
-          pytorch_version: 2.0.0
+          cu_version: cu102
+          name: linux_conda_py39_cu102_pyt191
+          python_version: '3.9'
+          pytorch_version: 1.9.1
       - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda118
           context: DOCKERHUB_TOKEN
-          cu_version: cu118
-          name: linux_conda_py38_cu118_pyt200
-          python_version: '3.8'
-          pytorch_version: 2.0.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py38_cu117_pyt201
-          python_version: '3.8'
-          pytorch_version: 2.0.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda118
-          context: DOCKERHUB_TOKEN
-          cu_version: cu118
-          name: linux_conda_py38_cu118_pyt201
-          python_version: '3.8'
-          pytorch_version: 2.0.1
+          cu_version: cu111
+          name: linux_conda_py39_cu111_pyt191
+          python_version: '3.9'
+          pytorch_version: 1.9.1
       - binary_linux_conda:
           context: DOCKERHUB_TOKEN
           cu_version: cu102
@@ -462,82 +669,6 @@ workflows:
           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:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py39_cu116_pyt1131
-          python_version: '3.9'
-          pytorch_version: 1.13.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py39_cu117_pyt1131
-          python_version: '3.9'
-          pytorch_version: 1.13.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py39_cu117_pyt200
-          python_version: '3.9'
-          pytorch_version: 2.0.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda118
-          context: DOCKERHUB_TOKEN
-          cu_version: cu118
-          name: linux_conda_py39_cu118_pyt200
-          python_version: '3.9'
-          pytorch_version: 2.0.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py39_cu117_pyt201
-          python_version: '3.9'
-          pytorch_version: 2.0.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda118
-          context: DOCKERHUB_TOKEN
-          cu_version: cu118
-          name: linux_conda_py39_cu118_pyt201
-          python_version: '3.9'
-          pytorch_version: 2.0.1
       - binary_linux_conda:
           context: DOCKERHUB_TOKEN
           cu_version: cu102
@@ -584,100 +715,24 @@ workflows:
           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:
-          conda_docker_image: pytorch/conda-builder:cuda116
-          context: DOCKERHUB_TOKEN
-          cu_version: cu116
-          name: linux_conda_py310_cu116_pyt1131
-          python_version: '3.10'
-          pytorch_version: 1.13.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py310_cu117_pyt1131
-          python_version: '3.10'
-          pytorch_version: 1.13.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py310_cu117_pyt200
-          python_version: '3.10'
-          pytorch_version: 2.0.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda118
-          context: DOCKERHUB_TOKEN
-          cu_version: cu118
-          name: linux_conda_py310_cu118_pyt200
-          python_version: '3.10'
-          pytorch_version: 2.0.0
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda117
-          context: DOCKERHUB_TOKEN
-          cu_version: cu117
-          name: linux_conda_py310_cu117_pyt201
-          python_version: '3.10'
-          pytorch_version: 2.0.1
-      - binary_linux_conda:
-          conda_docker_image: pytorch/conda-builder:cuda118
-          context: DOCKERHUB_TOKEN
-          cu_version: cu118
-          name: linux_conda_py310_cu118_pyt201
-          python_version: '3.10'
-          pytorch_version: 2.0.1
       - binary_linux_conda_cuda:
-          name: testrun_conda_cuda_py38_cu102_pyt190
+          name: testrun_conda_cuda_py37_cu102_pyt190
           context: DOCKERHUB_TOKEN
-          python_version: "3.8"
+          python_version: "3.7"
           pytorch_version: '1.9.0'
           cu_version: "cu102"
       - binary_macos_wheel:
           cu_version: cpu
-          name: macos_wheel_py3.8_cpu
+          name: macos_wheel_py37_cpu
+          python_version: '3.7'
+          pytorch_version: '1.12.0'
+      - binary_macos_wheel:
+          cu_version: cpu
+          name: macos_wheel_py38_cpu
           python_version: '3.8'
-          pytorch_version: '1.13.0'
+          pytorch_version: '1.12.0'
       - 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: '1.12.0'

.circleci/regenerate.py

@@ -20,30 +20,39 @@ from packaging import version
 # 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 = {
+    "1.8.0": ["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"],
-    "1.13.1": ["cu116", "cu117"],
-    "2.0.0": ["cu117", "cu118"],
-    "2.0.1": ["cu117", "cu118"],
 }
 
 
 def conda_docker_image_for_cuda(cuda_version):
     if cuda_version in ("cu101", "cu102", "cu111"):
         return None
-    if len(cuda_version) != 5:
-        raise ValueError("Unknown cuda version")
-    return "pytorch/conda-builder:cuda" + cuda_version[2:]
+    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"
+    raise ValueError("Unknown cuda version")
 
 
 def pytorch_versions_for_python(python_version):
-    if python_version in ["3.8", "3.9"]:
+    if python_version in ["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
@@ -55,7 +64,7 @@ def pytorch_versions_for_python(python_version):
 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 ["3.7", "3.8", "3.9", "3.10"]:
             for pytorch_version in pytorch_versions_for_python(python_version):
                 for cu_version in CONDA_CUDA_VERSIONS[pytorch_version]:
                     w += workflow_pair(

.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.

.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

INSTALL.md

@@ -8,24 +8,24 @@
 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 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1, 1.13.0, 2.0.0 or 2.0.1.
+- Python 3.6, 3.7, 3.8 or 3.9
+- PyTorch 1.8.0, 1.8.1, 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0 or 1.12.0.
 - 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)
 - [ioPath](https://github.com/facebookresearch/iopath)
 - If CUDA is to be used, use a version which is supported by the corresponding pytorch version and at least version 9.2.
-- If CUDA older than 11.7 is to be used and you are building from source, the CUB library must be available. We recommend version 1.10.0.
+- If CUDA is to be used and you are building from source, the CUB library must be available. We recommend version 1.10.0.
 
 The runtime dependencies can be installed by running:
 ```
 conda create -n pytorch3d python=3.9
 conda activate pytorch3d
-conda install pytorch=1.13.0 torchvision pytorch-cuda=11.6 -c pytorch -c nvidia
+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
 ```
@@ -78,14 +78,14 @@ 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 1.12.0 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.
+for Python 3.7, 3.8 and 3.9. This is for ease of use on Google Colab.
 These are installed in a special way.
 For example, to install for Python 3.8, PyTorch 1.11.0 and CUDA 11.3
 ```
@@ -102,7 +102,6 @@ version_str="".join([
     torch.version.cuda.replace(".",""),
     f"_pyt{pyt_version_str}"
 ])
-!pip install fvcore iopath
 !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html
 ```
 

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. ([blog post](https://ai.facebook.com/blog/implicitron-a-new-modular-extensible-framework-for-neural-implicit-representations-in-pytorch3d/))
 
 PyTorch3D is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data.
 For this reason, all operators in PyTorch3D:
@@ -24,8 +23,6 @@ For this reason, all operators in PyTorch3D:
 
 Within FAIR, PyTorch3D has been used to power research projects such as [Mesh R-CNN](https://arxiv.org/abs/1906.02739).
 
-See our [blog post](https://ai.facebook.com/blog/-introducing-pytorch3d-an-open-source-library-for-3d-deep-learning/) to see more demos and learn about PyTorch3D.
-
 ## Installation
 
 For detailed instructions refer to [INSTALL.md](INSTALL.md).
@@ -58,11 +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)|
-
-
 
 
 
@@ -101,8 +93,6 @@ In alphabetical order:
 
 * Amitav Baruah
 * Steve Branson
-* Krzysztof Chalupka
-* Jiali Duan
 * Luya Gao
 * Georgia Gkioxari
 * Taylor Gordon
@@ -146,14 +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).
 
-**[Dec 19th 2022]:**   PyTorch3D [v0.7.2](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.2) released.
-
-**[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

dev/test_list.py

@@ -17,8 +17,7 @@ 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")]
+    return list((root / "tests").glob("**/test*.py"))
 
 
 def tests_from_file(path: Path, base: str) -> List[str]:

docs/conf.py

@@ -20,8 +20,7 @@
 import os
 import sys
 
-import unittest.mock as mock
-
+import mock
 from recommonmark.parser import CommonMarkParser
 from recommonmark.states import DummyStateMachine
 from sphinx.builders.html import StandaloneHTMLBuilder

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")

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:

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:

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:

docs/modules/implicitron/index.rst

@@ -1,10 +0,0 @@
-pytorch3d.implicitron
-=====================
-
-.. toctree::
-
-    models/index.rst
-    data_basics
-    datasets
-    evaluation
-    tools

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:

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:

docs/modules/implicitron/models/feature_extractor/index.rst

@@ -1,7 +0,0 @@
-pytorch3d.implicitron.models.feature_extractor
-==============================================
-
-.. toctree::
-
-    feature_extractor
-    resnet_feature_extractor

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:

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:

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:

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:

docs/modules/implicitron/models/global_encoder/index.rst

@@ -1,7 +0,0 @@
-pytorch3d.implicitron.models.global_encoder
-===========================================
-
-.. toctree::
-
-    autodecoder
-    global_encoder

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:

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:

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:

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

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:

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:

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:

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:

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:

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

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:

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:

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:

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

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:

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:

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:

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:

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:

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:

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:

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:

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:

docs/modules/implicitron/models/view_pooler/index.rst

@@ -1,8 +0,0 @@
-pytorch3d.implicitron.models.view_pooler
-========================================
-
-.. toctree::
-
-    feature_aggregator
-    view_pooler
-    view_sampler

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:

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:

docs/modules/implicitron/models/visualization/index.rst

@@ -1,6 +0,0 @@
-pytorch3d.implicitron.models.visualization
-==========================================
-
-.. toctree::
-
-    render_flyaround

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:

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:

docs/modules/index.rst

@@ -12,5 +12,4 @@ API Documentation
     utils
     datasets
     common
-    vis/index
-    implicitron/index
+    vis

docs/modules/renderer/blending.rst

@@ -1,9 +1,7 @@
-pytorch3d.renderer.blending
-===========================
-
 blending
+===========================
 
 .. automodule:: pytorch3d.renderer.blending
     :members:
     :undoc-members:
-    :show-inheritance:
+    :show-inheritance:

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:

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:

docs/modules/renderer/cameras.rst

@@ -1,9 +1,7 @@
-pytorch3d.renderer.cameras
-==========================
-
 cameras
+===========================
 
 .. automodule:: pytorch3d.renderer.cameras
     :members:
     :undoc-members:
-    :show-inheritance:
+    :show-inheritance:

docs/modules/renderer/compositing.rst

@@ -1,9 +0,0 @@
-pytorch3d.renderer.compositing
-==============================
-
-compositing
-
-.. automodule:: pytorch3d.renderer.compositing
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/modules/renderer/fisheyecameras.rst

@@ -1,9 +0,0 @@
-pytorch3d.renderer.fisheyecameras
-=================================
-
-fisheyecameras
-
-.. automodule:: pytorch3d.renderer.fisheyecameras
-    :members:
-    :undoc-members:
-    :show-inheritance:

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:

docs/modules/renderer/implicit/index.rst

@@ -1,11 +0,0 @@
-pytorch3d.renderer.implicit
-===========================
-
-.. toctree::
-
-    harmonic_embedding
-    raymarching
-    raysampling
-    renderer
-    sample_pdf
-    utils

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:

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:

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:

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:

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:

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

docs/modules/renderer/lighting.rst

@@ -1,9 +1,6 @@
-pytorch3d.renderer.lighting
-===========================
-
 lighting
+===========================
 
 .. automodule:: pytorch3d.renderer.lighting
     :members:
-    :undoc-members:
-    :show-inheritance:
+    :undoc-members:

docs/modules/renderer/materials.rst

@@ -1,9 +1,7 @@
-pytorch3d.renderer.materials
-============================
-
 materials
+===========================
 
 .. automodule:: pytorch3d.renderer.materials
     :members:
     :undoc-members:
-    :show-inheritance:
+    :show-inheritance:

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:

docs/modules/renderer/mesh/index.rst

@@ -1,13 +0,0 @@
-pytorch3d.renderer.mesh
-=======================
-
-.. toctree::
-
-    clip
-    rasterize_meshes
-    rasterizer
-    renderer
-    shader
-    shading
-    textures
-    utils

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:

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:

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:

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:

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:

docs/modules/renderer/opengl/index.rst

@@ -1,7 +0,0 @@
-pytorch3d.renderer.opengl
-=========================
-
-.. toctree::
-
-    opengl_utils
-    rasterizer_opengl

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:

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:

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:

docs/modules/renderer/points/index.rst

@@ -1,10 +0,0 @@
-pytorch3d.renderer.points
-=========================
-
-.. toctree::
-
-    compositor
-    rasterize_points
-    rasterizer
-    renderer
-    pulsar/index

docs/modules/renderer/points/pulsar/index.rst

@@ -1,7 +0,0 @@
-pytorch3d.renderer.points.pulsar
-================================
-
-.. toctree::
-
-    renderer
-    unified

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:

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:

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:

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:

docs/modules/renderer/points/renderer.rst

@@ -1,9 +0,0 @@
-pytorch3d.renderer.points.renderer
-==================================
-
-renderer
-
-.. automodule:: pytorch3d.renderer.points.renderer
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/modules/renderer/rasterizer.rst

@@ -0,0 +1,10 @@
+rasterizer
+===========================
+
+.. automodule:: pytorch3d.renderer.mesh.rasterize_meshes
+    :members:
+    :undoc-members:
+    
+.. automodule:: pytorch3d.renderer.mesh.rasterizer
+    :members:
+    :undoc-members:

docs/modules/renderer/shader.rst

@@ -1,9 +1,7 @@
-pytorch3d.renderer.mesh.shader
-==============================
-
 shader
+===========================
 
 .. automodule:: pytorch3d.renderer.mesh.shader
     :members:
     :undoc-members:
-    :show-inheritance:
+    

docs/modules/renderer/shading.rst

@@ -1,9 +1,7 @@
-pytorch3d.renderer.mesh.shading
-===============================
-
 shading
+===========================
 
 .. automodule:: pytorch3d.renderer.mesh.shading
     :members:
     :undoc-members:
-    :show-inheritance:
+    

docs/modules/renderer/splatter_blend.rst

@@ -1,9 +0,0 @@
-pytorch3d.renderer.splatter_blend
-=================================
-
-splatter_blend
-
-.. automodule:: pytorch3d.renderer.splatter_blend
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/modules/renderer/texturing.rst

@@ -0,0 +1,7 @@
+texturing
+===========================
+
+.. automodule:: pytorch3d.renderer.mesh.texturing
+    :members:
+    :undoc-members:
+    

docs/modules/renderer/utils.rst

@@ -1,9 +1,6 @@
-pytorch3d.renderer.utils
-========================
-
 utils
+===========================
 
 .. automodule:: pytorch3d.renderer.utils
     :members:
-    :undoc-members:
-    :show-inheritance:
+    :undoc-members:

docs/modules/vis.rst

@@ -0,0 +1,6 @@
+pytorch3d.vis
+===========================
+
+.. automodule:: pytorch3d.vis
+    :members:
+    :undoc-members:

docs/modules/vis/index.rst

@@ -1,7 +0,0 @@
-pytorch3d.vis
-=============
-
-.. toctree::
-
-    plotly_vis
-    texture_vis

docs/modules/vis/plotly_vis.rst

@@ -1,9 +0,0 @@
-pytorch3d.vis.plotly_vis
-========================
-
-plotly_vis
-
-.. automodule:: pytorch3d.vis.plotly_vis
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/modules/vis/texture_vis.rst

@@ -1,9 +0,0 @@
-pytorch3d.vis.texture_vis
-=========================
-
-texture_vis
-
-.. automodule:: pytorch3d.vis.texture_vis
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/notes/cameras.md

@@ -85,7 +85,7 @@ cameras_ndc = PerspectiveCameras(focal_length=fcl_ndc, principal_point=prp_ndc)
 # Screen space camera
 image_size = ((128, 256),)    # (h, w)
 fcl_screen = (76.8,)          # fcl_ndc * min(image_size) / 2
-prp_screen = ((115.2, 32), )  # w / 2 - px_ndc * min(image_size) / 2, h / 2 - py_ndc * min(image_size) / 2
+prp_screen = ((115.2, 48), )  # w / 2 - px_ndc * min(image_size) / 2, h / 2 - py_ndc * min(image_size) / 2
 cameras_screen = PerspectiveCameras(focal_length=fcl_screen, principal_point=prp_screen, in_ndc=False, image_size=image_size)
 ```
 

docs/notes/io.md

@@ -7,20 +7,20 @@ sidebar_label: File IO
 There is a flexible interface for loading and saving point clouds and meshes from different formats.
 
 The main usage is via the `pytorch3d.io.IO` object, and its methods
-`load_mesh`, `save_mesh`, `load_pointcloud` and `save_pointcloud`.
+`load_mesh`, `save_mesh`, `load_point_cloud` and `save_point_cloud`.
 
 For example, to load a mesh you might do
 ```
 from pytorch3d.io import IO
 
 device=torch.device("cuda:0")
-mesh = IO().load_mesh("mymesh.obj", device=device)
+mesh = IO().load_mesh("mymesh.ply", device=device)
 ```
 
 and to save a pointcloud you might do
 ```
 pcl = Pointclouds(...)
-IO().save_pointcloud(pcl, "output_pointcloud.ply")
+IO().save_point_cloud(pcl, "output_pointcloud.obj")
 ```
 
 For meshes, this supports OBJ, PLY and OFF files.
@@ -31,4 +31,4 @@ In addition, there is experimental support for loading meshes from
 [glTF 2 assets](https://github.com/KhronosGroup/glTF/tree/master/specification/2.0)
 stored either in a GLB container file or a glTF JSON file with embedded binary data.
 This must be enabled explicitly, as described in
-`pytorch3d/io/experimental_gltf_io.py`.
+`pytorch3d/io/experimental_gltf_io.ply`.

docs/notes/iou3d.md

@@ -62,7 +62,7 @@ Below we compare the performance for Objectron (in C++) and our algorithm, in C+
 ```python
 from pytorch3d.ops import box3d_overlap
 # Assume inputs: boxes1 (M, 8, 3) and boxes2 (N, 8, 3)
-intersection_vol, iou_3d = box3d_overlap(boxes1, boxes2)
+intersection_vol, iou_3d = box3d_overal(boxes1, boxes2)
 ```
 
 For more details, read [iou_box3d.py](https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/ops/iou_box3d.py).