Update Cuda

.azure-pipelines/azure-pipelines-linux.yml

@@ -6,76 +6,6 @@ jobs:
     strategy:
       maxParallel: 8
       matrix:
-        linux_python3.7:
-          CONFIG: python3.7
-          DOCKER_IMAGE: condaforge/linux-anvil-comp7
-          EXCLUDE_JINJA: CUDA_STR
-        linux_python3.8:
-          CONFIG: python3.8
-          DOCKER_IMAGE: condaforge/linux-anvil-comp7
-          EXCLUDE_JINJA: CUDA_STR
-        linux_python3.9:
-          CONFIG: python3.9
-          DOCKER_IMAGE: condaforge/linux-anvil-comp7
-          EXCLUDE_JINJA: CUDA_STR
-
-        linux_python3.7_cuda8.0:
-          CONFIG: python3.7_cuda8.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:8.0"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.7_cuda9.0:
-          CONFIG: python3.7_cuda9.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:9.0"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.7_cuda9.1:
-          CONFIG: python3.7_cuda9.1
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:9.1"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.7_cuda9.2:
-          CONFIG: python3.7_cuda9.2
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:9.2"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.7_cuda10.0:
-          CONFIG: python3.7_cuda10.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:10.0"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.7_cuda10.1:
-          CONFIG: python3.7_cuda10.1
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:10.1"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.7_cuda10.2:
-          CONFIG: python3.7_cuda10.2
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:10.2"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.7_cuda11.0:
-          CONFIG: python3.7_cuda11.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cos7-cuda:11.0"
-          INCLUDE_JINJA: CUDA_STR
-
-        linux_python3.8_cuda8.0:
-          CONFIG: python3.8_cuda8.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:8.0"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.8_cuda9.0:
-          CONFIG: python3.8_cuda9.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:9.0"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.8_cuda9.1:
-          CONFIG: python3.8_cuda9.1
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:9.1"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.8_cuda9.2:
-          CONFIG: python3.8_cuda9.2
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:9.2"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.8_cuda10.0:
-          CONFIG: python3.8_cuda10.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:10.0"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.8_cuda10.1:
-          CONFIG: python3.8_cuda10.1
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:10.1"
-          INCLUDE_JINJA: CUDA_STR
         linux_python3.8_cuda10.2:
           CONFIG: python3.8_cuda10.2
           DOCKER_IMAGE: "omniamd/linux-anvil-cuda:10.2"
@@ -85,30 +15,6 @@ jobs:
           DOCKER_IMAGE: "omniamd/linux-anvil-cos7-cuda:11.0"
           INCLUDE_JINJA: CUDA_STR
 
-        linux_python3.9_cuda8.0:
-          CONFIG: python3.9_cuda8.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:8.0"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.9_cuda9.0:
-          CONFIG: python3.9_cuda9.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:9.0"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.9_cuda9.1:
-          CONFIG: python3.9_cuda9.1
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:9.1"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.9_cuda9.2:
-          CONFIG: python3.9_cuda9.2
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:9.2"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.9_cuda10.0:
-          CONFIG: python3.9_cuda10.0
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:10.0"
-          INCLUDE_JINJA: CUDA_STR
-        linux_python3.9_cuda10.1:
-          CONFIG: python3.9_cuda10.1
-          DOCKER_IMAGE: "omniamd/linux-anvil-cuda:10.1"
-          INCLUDE_JINJA: CUDA_STR
         linux_python3.9_cuda10.2:
           CONFIG: python3.9_cuda10.2
           DOCKER_IMAGE: "omniamd/linux-anvil-cuda:10.2"

.azure-pipelines/azure-pipelines-osx.yml

@@ -1,14 +1,11 @@
 jobs:
   - job: osx
     pool:
-      vmImage: macOS-10.14
+      vmImage: macOS-11
     timeoutInMinutes: 360
     strategy:
       maxParallel: 8
       matrix:
-        osx_python3.7:
-          CONFIG: python3.7
-          # EXCLUDE_JINJA: CUDA_STR
         osx_python3.8:
           CONFIG: python3.8
           # EXCLUDE_JINJA: CUDA_STR

.azure-pipelines/azure-pipelines-windows.yml

@@ -1,7 +1,7 @@
 jobs:
   - job: windows
     pool:
-      vmImage: vs2017-win2016
+      vmImage: windows-2022
     timeoutInMinutes: 360
     variables:
       NVIDIA_CUDA_DIR: $(Pipeline.Workspace)/.nvcuda
@@ -12,87 +12,13 @@ jobs:
     strategy:
       maxParallel: 8
       matrix:
-        windows_python3.7:
-          CONFIG: python3.7
-          EXCLUDE_JINJA: CUDA_STR
         windows_python3.8:
           CONFIG: python3.8
           EXCLUDE_JINJA: CUDA_STR
         windows_python3.9:
           CONFIG: python3.9
           EXCLUDE_JINJA: CUDA_STR
 
-        windows_python3.7_cuda8.0:
-          CONFIG: python3.7_cuda8.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 8.0
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/8.0/Prod2/network_installers/cuda_8.0.61_win10_network-exe
-        windows_python3.7_cuda9.0:
-          CONFIG: python3.7_cuda9.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 9.0
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/9.0/Prod/network_installers/cuda_9.0.176_win10_network-exe
-        windows_python3.7_cuda9.1:
-          CONFIG: python3.7_cuda9.1
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 9.1
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/9.1/Prod/network_installers/cuda_9.1.85_win10_network
-        windows_python3.7_cuda9.2:
-          CONFIG: python3.7_cuda9.2
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 9.2
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/9.2/Prod2/network_installers2/cuda_9.2.148_win10_network
-        windows_python3.7_cuda10.0:
-          CONFIG: python3.7_cuda10.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 10.0
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/10.0/Prod/network_installers/cuda_10.0.130_win10_network
-        windows_python3.7_cuda10.1:
-          CONFIG: python3.7_cuda10.1
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 10.1
-          CUDA_URL: http://developer.download.nvidia.com/compute/cuda/10.1/Prod/network_installers/cuda_10.1.243_win10_network.exe
-        windows_python3.7_cuda10.2:
-          CONFIG: python3.7_cuda10.2
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 10.2
-          CUDA_URL: http://developer.download.nvidia.com/compute/cuda/10.2/Prod/network_installers/cuda_10.2.89_win10_network.exe
-        windows_python3.7_cuda11.0:
-          CONFIG: python3.7_cuda11.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 11.0
-          CUDA_URL: http://developer.download.nvidia.com/compute/cuda/11.0.3/network_installers/cuda_11.0.3_win10_network.exe
-
-        windows_python3.8_cuda8.0:
-          CONFIG: python3.8_cuda8.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 8.0
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/8.0/Prod2/network_installers/cuda_8.0.61_win10_network-exe
-        windows_python3.8_cuda9.0:
-          CONFIG: python3.8_cuda9.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 9.0
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/9.0/Prod/network_installers/cuda_9.0.176_win10_network-exe
-        windows_python3.8_cuda9.1:
-          CONFIG: python3.8_cuda9.1
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 9.1
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/9.1/Prod/network_installers/cuda_9.1.85_win10_network
-        windows_python3.8_cuda9.2:
-          CONFIG: python3.8_cuda9.2
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 9.2
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/9.2/Prod2/network_installers2/cuda_9.2.148_win10_network
-        windows_python3.8_cuda10.0:
-          CONFIG: python3.8_cuda10.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 10.0
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/10.0/Prod/network_installers/cuda_10.0.130_win10_network
-        windows_python3.8_cuda10.1:
-          CONFIG: python3.8_cuda10.1
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 10.1
-          CUDA_URL: http://developer.download.nvidia.com/compute/cuda/10.1/Prod/network_installers/cuda_10.1.243_win10_network.exe
         windows_python3.8_cuda10.2:
           CONFIG: python3.8_cuda10.2
           INCLUDE_JINJA: CUDA_STR
@@ -104,36 +30,6 @@ jobs:
           CUDA_VER: 11.0
           CUDA_URL: http://developer.download.nvidia.com/compute/cuda/11.0.3/network_installers/cuda_11.0.3_win10_network.exe
 
-        windows_python3.9_cuda8.0:
-          CONFIG: python3.9_cuda8.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 8.0
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/8.0/Prod2/network_installers/cuda_8.0.61_win10_network-exe
-        windows_python3.9_cuda9.0:
-          CONFIG: python3.9_cuda9.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 9.0
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/9.0/Prod/network_installers/cuda_9.0.176_win10_network-exe
-        windows_python3.9_cuda9.1:
-          CONFIG: python3.9_cuda9.1
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 9.1
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/9.1/Prod/network_installers/cuda_9.1.85_win10_network
-        windows_python3.9_cuda9.2:
-          CONFIG: python3.9_cuda9.2
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 9.2
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/9.2/Prod2/network_installers2/cuda_9.2.148_win10_network
-        windows_python3.9_cuda10.0:
-          CONFIG: python3.9_cuda10.0
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 10.0
-          CUDA_URL: https://developer.nvidia.com/compute/cuda/10.0/Prod/network_installers/cuda_10.0.130_win10_network
-        windows_python3.9_cuda10.1:
-          CONFIG: python3.9_cuda10.1
-          INCLUDE_JINJA: CUDA_STR
-          CUDA_VER: 10.1
-          CUDA_URL: http://developer.download.nvidia.com/compute/cuda/10.1/Prod/network_installers/cuda_10.1.243_win10_network.exe
         windows_python3.9_cuda10.2:
           CONFIG: python3.9_cuda10.2
           INCLUDE_JINJA: CUDA_STR

.conda_configs/gen_confs.py

@@ -9,8 +9,8 @@
 import ruamel_yaml  # This gets installed with conda-build
 
 
-PYTHONS = ["3.6.* *_cpython", "3.7.* *_cpython", "3.8.* *_cpython", "3.9.* *_cpython"]
-CUDAS = [8.0, 9.0, 9.1, 9.2, 10.0, 10.1, 10.2, 11.0]
+PYTHONS = ["3.8.* *_cpython", "3.9.* *_cpython"]
+CUDAS = [10.2, 11.0, 11.1, 11.2]
 
 dumper_keys = {"indent": 4, "block_seq_indent": 2}
 dumper = ruamel_yaml.round_trip_dump

.conda_configs/python3.8_cuda10.0.yaml → .conda_configs/python3.8_cuda11.1.yaml

@@ -2,7 +2,7 @@ python:
   - 3.8.* *_cpython
 
 CUDA_SHORT_VERSION:
-  - 100
+  - 111
 
 CUDA_VERSION:
-  - 10.0
+  - 11.1

.conda_configs/python3.8_cuda10.1.yaml → .conda_configs/python3.8_cuda11.2.yaml

@@ -2,7 +2,7 @@ python:
   - 3.8.* *_cpython
 
 CUDA_SHORT_VERSION:
-  - 101
+  - 112
 
 CUDA_VERSION:
-  - 10.1
+  - 11.2