wheels with cuda

Summary:
The main pytorch wheels on PyPI support CUDA 10.2. Here we make pytorch3d's wheels do the same, instead of being cpu only. This should ultimately make life easier in colab.

Also a little script to count builds, which can be useful for nightly jobs.

Reviewed By: gkioxari

Differential Revision: D22924321

fbshipit-source-id: d6cea9bfbab49bcb0080f65608066c553ea8bb4d

.circleci/build_count.py

@@ -0,0 +1,29 @@
+#!/usr/bin/env python3
+# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
+
+"""
+Print the number of nightly builds
+"""
+
+from collections import Counter
+
+import yaml
+
+
+conf = yaml.safe_load(open("config.yml"))
+jobs = conf["workflows"]["build_and_test"]["jobs"]
+
+
+def jobtype(job):
+    if isinstance(job, str):
+        return job
+    if len(job) == 1:
+        [name] = job.keys()
+        return name
+    return "MULTIPLE PARTS"
+
+
+for i, j in Counter(map(jobtype, jobs)).items():
+    print(i, j)
+print()
+print(len(jobs))

.circleci/config.in.yml

@@ -55,7 +55,7 @@ binary_common: &binary_common
     wheel_docker_image:
       description: "Wheel only: what docker image to use"
       type: string
-      default: "pytorch/manylinux-cuda101"
+      default: "pytorch/manylinux-cuda102"
   environment:
     PYTHON_VERSION: << parameters.python_version >>
     BUILD_VERSION: << parameters.build_version >>

.circleci/config.yml

@@ -55,7 +55,7 @@ binary_common: &binary_common
     wheel_docker_image:
       description: "Wheel only: what docker image to use"
       type: string
-      default: "pytorch/manylinux-cuda101"
+      default: "pytorch/manylinux-cuda102"
   environment:
     PYTHON_VERSION: << parameters.python_version >>
     BUILD_VERSION: << parameters.build_version >>
@@ -386,18 +386,18 @@ workflows:
           python_version: '3.8'
           pytorch_version: 1.6.0
       - binary_linux_wheel:
-          cu_version: cpu
-          name: linux_wheel_py36_cpu_pyt160
+          cu_version: cu102
+          name: linux_wheel_py36_cu102_pyt160
           python_version: '3.6'
           pytorch_version: 1.6.0
       - binary_linux_wheel:
-          cu_version: cpu
-          name: linux_wheel_py37_cpu_pyt160
+          cu_version: cu102
+          name: linux_wheel_py37_cu102_pyt160
           python_version: '3.7'
           pytorch_version: 1.6.0
       - binary_linux_wheel:
-          cu_version: cpu
-          name: linux_wheel_py38_cpu_pyt160
+          cu_version: cu102
+          name: linux_wheel_py38_cu102_pyt160
           python_version: '3.8'
           pytorch_version: 1.6.0
       - binary_linux_conda_cuda:

.circleci/regenerate.py

@@ -38,7 +38,7 @@ def workflows(prefix="", filter_branch=None, upload=False, indentation=6):
                     )
     for btype in ["wheel"]:
         for python_version in ["3.6", "3.7", "3.8"]:
-            for cu_version in ["cpu"]:
+            for cu_version in ["cu102"]:
                 w += workflow_pair(
                     btype=btype,
                     python_version=python_version,