Update CI Docker image to pytorch/pytorch:2.8.0 (#4232)

Author: albertvillanova

.github/workflows/slow-tests.yml

@@ -68,7 +68,7 @@ jobs:
       CUDA_VISIBLE_DEVICES: "0,1"
       TEST_TYPE: "multi_gpu"
     container:
-      image: pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel
+      image: pytorch/pytorch:2.8.0-cuda12.8-cudnn9-devel
       options: --gpus all --shm-size "16gb"
     defaults:
       run:

.github/workflows/tests.yml

@@ -41,7 +41,7 @@ jobs:
     runs-on:
       group: aws-g4dn-2xlarge
     container:
-      image: pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel
+      image: pytorch/pytorch:2.8.0-cuda12.8-cudnn9-devel
       options: --gpus all
     defaults:
       run:
@@ -93,7 +93,7 @@ jobs:
     runs-on:
       group: aws-g4dn-2xlarge
     container:
-      image: pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel
+      image: pytorch/pytorch:2.8.0-cuda12.8-cudnn9-devel
       options: --gpus all
     defaults:
       run:
@@ -149,7 +149,7 @@ jobs:
     runs-on:
       group: aws-g4dn-2xlarge
     container:
-      image: pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel
+      image: pytorch/pytorch:2.8.0-cuda12.8-cudnn9-devel
       options: --gpus all
     defaults:
       run:
@@ -201,7 +201,7 @@ jobs:
     runs-on:
       group: aws-g4dn-2xlarge
     container:
-      image: pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel
+      image: pytorch/pytorch:2.8.0-cuda12.8-cudnn9-devel
       options: --gpus all
     defaults:
       run:

.github/workflows/tests_latest.yml

@@ -16,7 +16,7 @@ jobs:
     runs-on:
       group: aws-g4dn-2xlarge
     container:
-      image: pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel
+      image: pytorch/pytorch:2.8.0-cuda12.8-cudnn9-devel
       options: --gpus all
     defaults:
       run: