torch1.10 + 0.6 release

Summary: Pull Request resolved: #3606

Reviewed By: wat3rBro

Differential Revision: D31884438

Pulled By: ppwwyyxx

fbshipit-source-id: 015da5b4e612a6eeaee9a92be7878770c7836156

INSTALL.md

@@ -28,35 +28,32 @@ old build first. You often need to rebuild detectron2 after reinstalling PyTorch
 
 ### Install Pre-Built Detectron2 (Linux only)
 
-Choose from this table to install [v0.5 (Jul 2021)](https://github.com/facebookresearch/detectron2/releases):
+Choose from this table to install [v0.6 (Oct 2021)](https://github.com/facebookresearch/detectron2/releases):
 
-<table class="docutils"><tbody><th width="80"> CUDA </th><th valign="bottom" align="left" width="100">torch 1.9</th><th valign="bottom" align="left" width="100">torch 1.8</th><th valign="bottom" align="left" width="100">torch 1.7</th> <tr><td align="left">11.1</td><td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
+<table class="docutils"><tbody><th width="80"> CUDA </th><th valign="bottom" align="left" width="100">torch 1.10</th><th valign="bottom" align="left" width="100">torch 1.9</th><th valign="bottom" align="left" width="100">torch 1.8</th> <tr><td align="left">11.3</td><td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
+  https://dl.fbaipublicfiles.com/detectron2/wheels/cu113/torch1.10/index.html
+</code></pre> </details> </td> <td align="left"> </td> <td align="left"> </td> </tr> <tr><td align="left">11.1</td><td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
+  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.10/index.html
+</code></pre> </details> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
   https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.9/index.html
 </code></pre> </details> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
   https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.8/index.html
-</code></pre> </details> </td> <td align="left"> </td> </tr> <tr><td align="left">11.0</td><td align="left"> </td> <td align="left"> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu110/torch1.7/index.html
 </code></pre> </details> </td> </tr> <tr><td align="left">10.2</td><td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
+  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.10/index.html
+</code></pre> </details> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
   https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html
 </code></pre> </details> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
   https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.8/index.html
-</code></pre> </details> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.7/index.html
-</code></pre> </details> </td> </tr> <tr><td align="left">10.1</td><td align="left"> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
+</code></pre> </details> </td> </tr> <tr><td align="left">10.1</td><td align="left"> </td> <td align="left"> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
   https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html
-</code></pre> </details> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.7/index.html
-</code></pre> </details> </td> </tr> <tr><td align="left">9.2</td><td align="left"> </td> <td align="left"> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.7/index.html
 </code></pre> </details> </td> </tr> <tr><td align="left">cpu</td><td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
+  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.10/index.html
+</code></pre> </details> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
   https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.9/index.html
 </code></pre> </details> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
   https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.8/index.html
-</code></pre> </details> </td> <td align="left"><details><summary> install </summary><pre><code>python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.7/index.html
 </code></pre> </details> </td> </tr></tbody></table>
 
-
 Note that:
 1. The pre-built packages have to be used with corresponding version of CUDA and the official package of PyTorch.
    Otherwise, please build detectron2 from source.

detectron2/__init__.py

@@ -7,4 +7,4 @@
 
 # This line will be programatically read/write by setup.py.
 # Leave them at the bottom of this file and don't touch them.
-__version__ = "0.5"
+__version__ = "0.6"

dev/packaging/build_all_wheels.sh

@@ -26,10 +26,7 @@ build_one() {
   echo "Launching container $container_name ..."
   container_id="$container_name"_"$cu"_"$pytorch_ver"
 
-  py_versions=(3.6 3.7 3.8)
-  if [[ $pytorch_ver != "1.7" ]]; then
-    py_versions+=(3.9)
-  fi
+  py_versions=(3.6 3.7 3.8 3.9)
 
   for py in "${py_versions[@]}"; do
     docker run -itd \
@@ -52,6 +49,11 @@ EOF
 if [[ -n "$1" ]] && [[ -n "$2" ]]; then
   build_one "$1" "$2"
 else
+  build_one cu113 1.10
+  build_one cu111 1.10
+  build_one cu102 1.10
+  build_one cpu 1.10
+
   build_one cu111 1.9
   build_one cu102 1.9
   build_one cpu 1.9
@@ -60,10 +62,4 @@ else
   build_one cu102 1.8
   build_one cu101 1.8
   build_one cpu 1.8
-
-  build_one cu110 1.7
-  build_one cu102 1.7
-  build_one cu101 1.7
-  build_one cu92 1.7
-  build_one cpu 1.7
 fi

dev/packaging/gen_install_table.py

@@ -9,6 +9,7 @@
   https://dl.fbaipublicfiles.com/detectron2/wheels/{cuda}/torch{torch}/index.html
 </code></pre> </details>"""
 CUDA_SUFFIX = {
+    "11.3": "cu113",
     "11.1": "cu111",
     "11.0": "cu110",
     "10.2": "cu102",
@@ -35,12 +36,14 @@ def gen_header(torch_versions):
     d2_version = f"=={args.d2_version}" if args.d2_version else ""
 
     all_versions = (
-        [("1.7", k) for k in ["11.0", "10.2", "10.1", "9.2", "cpu"]]
-        + [("1.8", k) for k in ["11.1", "10.2", "10.1", "cpu"]]
+        [("1.8", k) for k in ["11.1", "10.2", "10.1", "cpu"]]
         + [("1.9", k) for k in ["11.1", "10.2", "cpu"]]
+        + [("1.10", k) for k in ["11.3", "11.1", "10.2", "cpu"]]
     )
 
-    torch_versions = sorted({k[0] for k in all_versions}, key=float, reverse=True)
+    torch_versions = sorted(
+        {k[0] for k in all_versions}, key=lambda x: int(x.split(".")[1]), reverse=True
+    )
     cuda_versions = sorted(
         {k[1] for k in all_versions}, key=lambda x: float(x) if x != "cpu" else 0, reverse=True
     )

dev/packaging/gen_wheel_index.sh

@@ -2,9 +2,9 @@
 # Copyright (c) Facebook, Inc. and its affiliates.
 
 
-root=$1
+root=$(readlink -f $1)
 if [[ -z "$root" ]]; then
-  echo "Usage: ./gen_wheel_index.sh /path/to/wheels"
+  echo "Usage: ./gen_wheel_index.sh /absolute/path/to/wheels"
   exit
 fi
 
@@ -14,7 +14,8 @@ export LC_ALL=C  # reproducible sort
 index=$root/index.html
 
 cd "$root"
-for cu in cpu cu92 cu100 cu101 cu102 cu110 cu111; do
+for cu in cpu cu92 cu100 cu101 cu102 cu110 cu111 cu113; do
+  mkdir -p "$root/$cu"
   cd "$root/$cu"
   echo "Creating $PWD/index.html ..."
   # First sort by torch version, then stable sort by d2 version with unique.

dev/packaging/pkg_helpers.bash

@@ -14,9 +14,14 @@ pip_install() {
 setup_cuda() {
   # Now work out the CUDA settings
   # Like other torch domain libraries, we choose common GPU architectures only.
-  # See more details at https://github.com/pytorch/pytorch/blob/master/torch/utils/cpp_extension.py#L1363
+  # See https://github.com/pytorch/pytorch/blob/master/torch/utils/cpp_extension.py
+  # and https://github.com/pytorch/vision/blob/main/packaging/pkg_helpers.bash for reference.
   export FORCE_CUDA=1
   case "$CU_VERSION" in
+    cu113)
+      export CUDA_HOME=/usr/local/cuda-11.3/
+      export TORCH_CUDA_ARCH_LIST="3.7;5.0;5.2;6.0;6.1+PTX;7.0;7.5+PTX;8.0;8.6+PTX"
+      ;;
     cu112)
       export CUDA_HOME=/usr/local/cuda-11.2/
       export TORCH_CUDA_ARCH_LIST="3.7;5.0;5.2;6.0;6.1+PTX;7.0;7.5+PTX;8.0;8.6+PTX"

tests/layers/test_deformable.py

@@ -4,8 +4,13 @@
 import torch
 
 from detectron2.layers import DeformConv, ModulatedDeformConv
+from detectron2.utils.env import TORCH_VERSION
 
 
+@unittest.skipIf(
+    TORCH_VERSION == (1, 8) and torch.cuda.is_available(),
+    "This test fails under cuda11 + torch1.8.",
+)
 class DeformableTest(unittest.TestCase):
     @unittest.skipIf(not torch.cuda.is_available(), "Deformable not supported for cpu")
     def test_forward_output(self):