remove PyTorch 1.5 builds

Summary: PyTorch 1.6.0 came out on 28 Jul 2020. Stop builds for 1.5.0 and 1.5.1. Also update the news section of the README for recent releases. Reviewed By: nikhilaravi Differential Revision: D31442830 fbshipit-source-id: 20bdd8a07090776d0461240e71c6536d874615f6
2025-08-01 03:12:49 +08:00 · 2021-10-11 06:12:06 -07:00 · 2021-10-11 06:12:06 -07:00 · 53d99671bd
commit 53d99671bd
parent 6d36c1e2b0
9 changed files with 8 additions and 140 deletions
--- a/.circleci/config.in.yml
+++ b/.circleci/config.in.yml
@ -231,12 +231,6 @@ workflows:
      - main:
          context: DOCKERHUB_TOKEN
      {{workflows()}}
-      - binary_linux_conda_cuda:
-          name: testrun_conda_cuda_py36_cu101_pyt151
-          context: DOCKERHUB_TOKEN
-          python_version: "3.6"
-          pytorch_version: "1.5.1"
-          cu_version: "cu101"
      - binary_linux_conda_cuda:
          name: testrun_conda_cuda_py37_cu102_pyt190
          context: DOCKERHUB_TOKEN
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@ -230,42 +230,6 @@ workflows:
    jobs:
      - main:
          context: DOCKERHUB_TOKEN
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu92
-          name: linux_conda_py36_cu92_pyt150
-          python_version: '3.6'
-          pytorch_version: 1.5.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu101
-          name: linux_conda_py36_cu101_pyt150
-          python_version: '3.6'
-          pytorch_version: 1.5.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py36_cu102_pyt150
-          python_version: '3.6'
-          pytorch_version: 1.5.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu92
-          name: linux_conda_py36_cu92_pyt151
-          python_version: '3.6'
-          pytorch_version: 1.5.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu101
-          name: linux_conda_py36_cu101_pyt151
-          python_version: '3.6'
-          pytorch_version: 1.5.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py36_cu102_pyt151
-          python_version: '3.6'
-          pytorch_version: 1.5.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu92
@ -380,42 +344,6 @@ workflows:
          name: linux_conda_py36_cu111_pyt191
          python_version: '3.6'
          pytorch_version: 1.9.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu92
-          name: linux_conda_py37_cu92_pyt150
-          python_version: '3.7'
-          pytorch_version: 1.5.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu101
-          name: linux_conda_py37_cu101_pyt150
-          python_version: '3.7'
-          pytorch_version: 1.5.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py37_cu102_pyt150
-          python_version: '3.7'
-          pytorch_version: 1.5.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu92
-          name: linux_conda_py37_cu92_pyt151
-          python_version: '3.7'
-          pytorch_version: 1.5.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu101
-          name: linux_conda_py37_cu101_pyt151
-          python_version: '3.7'
-          pytorch_version: 1.5.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py37_cu102_pyt151
-          python_version: '3.7'
-          pytorch_version: 1.5.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu92
@ -530,42 +458,6 @@ workflows:
          name: linux_conda_py37_cu111_pyt191
          python_version: '3.7'
          pytorch_version: 1.9.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu92
-          name: linux_conda_py38_cu92_pyt150
-          python_version: '3.8'
-          pytorch_version: 1.5.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu101
-          name: linux_conda_py38_cu101_pyt150
-          python_version: '3.8'
-          pytorch_version: 1.5.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py38_cu102_pyt150
-          python_version: '3.8'
-          pytorch_version: 1.5.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu92
-          name: linux_conda_py38_cu92_pyt151
-          python_version: '3.8'
-          pytorch_version: 1.5.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu101
-          name: linux_conda_py38_cu101_pyt151
-          python_version: '3.8'
-          pytorch_version: 1.5.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py38_cu102_pyt151
-          python_version: '3.8'
-          pytorch_version: 1.5.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu92
@ -758,12 +650,6 @@ workflows:
          name: linux_conda_py39_cu111_pyt191
          python_version: '3.9'
          pytorch_version: 1.9.1
-      - binary_linux_conda_cuda:
-          name: testrun_conda_cuda_py36_cu101_pyt151
-          context: DOCKERHUB_TOKEN
-          python_version: "3.6"
-          pytorch_version: "1.5.1"
-          cu_version: "cu101"
      - binary_linux_conda_cuda:
          name: testrun_conda_cuda_py37_cu102_pyt190
          context: DOCKERHUB_TOKEN
--- a/.circleci/regenerate.py
+++ b/.circleci/regenerate.py
@ -19,8 +19,6 @@ import yaml
 # 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 = {
-    "1.5.0": ["cu92", "cu101", "cu102"],
-    "1.5.1": ["cu92", "cu101", "cu102"],
    "1.6.0": ["cu92", "cu101", "cu102"],
    "1.7.0": ["cu101", "cu102", "cu110"],
    "1.7.1": ["cu101", "cu102", "cu110"],
--- a/INSTALL.md
+++ b/INSTALL.md
@ -9,7 +9,7 @@ The core library is written in PyTorch. Several components have underlying imple

 - Linux or macOS or Windows
 - Python 3.6, 3.7, 3.8 or 3.9
- PyTorch 1.5.0, 1.5.1, 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0 or 1.9.1.
+- PyTorch 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0 or 1.9.1.
 - torchvision that matches the PyTorch installation. You can install them together as explained at pytorch.org to make sure of this.
 - gcc & g++ ≥ 4.9
 - [fvcore](https://github.com/facebookresearch/fvcore)
--- a/README.md
+++ b/README.md
@ -136,6 +136,10 @@ 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 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
+
 **[Feb 9th 2021]:** PyTorch3D [v0.4.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.4.0) released with support for implicit functions, volume rendering and a [reimplementation of NeRF](https://github.com/facebookresearch/pytorch3d/tree/main/projects/nerf).

 **[November 2nd 2020]:** PyTorch3D [v0.3.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.3.0) released, integrating the pulsar backend.
--- a/packaging/linux_wheels/inside.sh
+++ b/packaging/linux_wheels/inside.sh
@ -53,12 +53,7 @@ do
            continue
        fi

-        if [[ "3.9" == "$python_version" ]]
-        then
-            extra_channel="-c conda-forge"
-        else
-            extra_channel=""
-        fi
+        extra_channel="-c conda-forge"

        for cu_version in ${CONDA_CUDA_VERSIONS[$pytorch_version]}
        do
--- a/projects/nerf/nerf/harmonic_embedding.py
+++ b/projects/nerf/nerf/harmonic_embedding.py
@ -69,12 +69,7 @@ class HarmonicEmbedding(torch.nn.Module):
                dtype=torch.float32,
            )

-        try:
-            self.register_buffer("_frequencies", omega0 * frequencies, persistent=False)
-        except TypeError:
-            # workaround for pytorch<1.6
-            self.register_buffer("_frequencies", omega0 * frequencies)
-
+        self.register_buffer("_frequencies", omega0 * frequencies, persistent=False)
        self.include_input = include_input

    def forward(self, x: torch.Tensor) -> torch.Tensor:
--- a/pytorch3d/renderer/implicit/raysampling.py
+++ b/pytorch3d/renderer/implicit/raysampling.py
@ -96,10 +96,7 @@ class GridRaysampler(torch.nn.Module):
            ),
            dim=-1,
        )
-        try:
-            self.register_buffer("_xy_grid", _xy_grid, persistent=False)
-        except TypeError:
-            self.register_buffer("_xy_grid", _xy_grid)  # workaround for pytorch<1.6
+        self.register_buffer("_xy_grid", _xy_grid, persistent=False)

    def forward(self, cameras: CamerasBase, **kwargs) -> RayBundle:
        """
--- a/tests/test_sample_pdf.py
+++ b/tests/test_sample_pdf.py
@ -12,7 +12,6 @@ from common_testing import TestCaseMixin
 from pytorch3d.renderer.implicit.sample_pdf import sample_pdf, sample_pdf_python


-@unittest.skipIf(torch.__version__[:4] == "1.5.", "searchsorted needs PyTorch 1.6")
 class TestSamplePDF(TestCaseMixin, unittest.TestCase):
    def setUp(self) -> None:
        super().setUp()