Migrate slow self-hosted jobs to Amazon2023 AMI (pytorch#131771)

A continuation of the migration started in
- pytorch#131250

(for tracking: signal on Aug 6: https://hud.pytorch.org/pytorch/pytorch/pull/131771?sha=38bc4755567527fad5279203ddef534ac132ea94)
Pull Request resolved: pytorch#131771
Approved by: https://github.com/seemethere

.github/workflows/slow.yml

@@ -49,17 +49,18 @@ jobs:
     name: linux-focal-cuda12.1-py3-gcc9-slow-gradcheck
     uses: ./.github/workflows/_linux-build.yml
     with:
+      runner: "amz2023.linux.2xlarge"
       build-environment: linux-focal-cuda12.1-py3-gcc9-slow-gradcheck
       docker-image-name: pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9
       cuda-arch-list: 8.6
       test-matrix: |
         { include: [
-          { config: "default", shard: 1, num_shards: 6, runner: "linux.g5.4xlarge.nvidia.gpu" },
-          { config: "default", shard: 2, num_shards: 6, runner: "linux.g5.4xlarge.nvidia.gpu" },
-          { config: "default", shard: 3, num_shards: 6, runner: "linux.g5.4xlarge.nvidia.gpu" },
-          { config: "default", shard: 4, num_shards: 6, runner: "linux.g5.4xlarge.nvidia.gpu" },
-          { config: "default", shard: 5, num_shards: 6, runner: "linux.g5.4xlarge.nvidia.gpu" },
-          { config: "default", shard: 6, num_shards: 6, runner: "linux.g5.4xlarge.nvidia.gpu" },
+          { config: "default", shard: 1, num_shards: 6, runner: "amz2023.linux.g5.4xlarge.nvidia.gpu" },
+          { config: "default", shard: 2, num_shards: 6, runner: "amz2023.linux.g5.4xlarge.nvidia.gpu" },
+          { config: "default", shard: 3, num_shards: 6, runner: "amz2023.linux.g5.4xlarge.nvidia.gpu" },
+          { config: "default", shard: 4, num_shards: 6, runner: "amz2023.linux.g5.4xlarge.nvidia.gpu" },
+          { config: "default", shard: 5, num_shards: 6, runner: "amz2023.linux.g5.4xlarge.nvidia.gpu" },
+          { config: "default", shard: 6, num_shards: 6, runner: "amz2023.linux.g5.4xlarge.nvidia.gpu" },
         ]}
 
   linux-focal-cuda12_1-py3-gcc9-slow-gradcheck-test:
@@ -78,13 +79,14 @@ jobs:
     name: linux-focal-cuda12.1-py3.10-gcc9-sm86
     uses: ./.github/workflows/_linux-build.yml
     with:
+      runner: "amz2023.linux.2xlarge"
       build-environment: linux-focal-cuda12.1-py3.10-gcc9-sm86
       docker-image-name: pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9
       cuda-arch-list: 8.6
       test-matrix: |
         { include: [
-          { config: "slow", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
-          { config: "slow", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
+          { config: "slow", shard: 1, num_shards: 2, runner: "amz2023.linux.g5.4xlarge.nvidia.gpu" },
+          { config: "slow", shard: 2, num_shards: 2, runner: "amz2023.linux.g5.4xlarge.nvidia.gpu" },
         ]}
 
   linux-focal-cuda12_1-py3_10-gcc9-sm86-test:
@@ -102,12 +104,13 @@ jobs:
     name: linux-focal-py3.8-clang10
     uses: ./.github/workflows/_linux-build.yml
     with:
+      runner: "amz2023.linux.2xlarge"
       build-environment: linux-focal-py3.8-clang10
       docker-image-name: pytorch-linux-focal-py3.8-clang10
       test-matrix: |
         { include: [
-          { config: "slow", shard: 1, num_shards: 2, runner: "linux.2xlarge" },
-          { config: "slow", shard: 2, num_shards: 2, runner: "linux.2xlarge" },
+          { config: "slow", shard: 1, num_shards: 2, runner: "amz2023.linux.2xlarge" },
+          { config: "slow", shard: 2, num_shards: 2, runner: "amz2023.linux.2xlarge" },
         ]}
 
   linux-focal-py3_8-clang10-test:
@@ -125,6 +128,7 @@ jobs:
     name: linux-focal-rocm6.1-py3.8
     uses: ./.github/workflows/_linux-build.yml
     with:
+      runner: "amz2023.linux.2xlarge"
       build-environment: linux-focal-rocm6.1-py3.8
       docker-image-name: pytorch-linux-focal-rocm-n-py3
       test-matrix: |