[EZ] Remove remaining amz2023 runner variant references (pytorch#136540)

Validated no jobs use the amz2023 runner variant anymore ([proof](https://github.com/search?type=code&q=org%3Apytorch+%2F%5Cbamz2023%5Cb%2F+&p=1)) so removing all references to it

Explicit references to the amz2023 runner type variants were removed in the following PRs:
- pytorch/ignite#3285
- pytorch/ao#887
- pytorch/fbscribelogger#1
- pytorch#134355

Pull Request resolved: pytorch#136540
Approved by: https://github.com/huydhn, https://github.com/malfet

.github/actionlint.yaml

@@ -32,30 +32,6 @@ self-hosted-runner:
     - lf.linux.8xlarge.nvidia.gpu
     - lf.linux.16xlarge.nvidia.gpu
     - lf.linux.g5.4xlarge.nvidia.gpu
-    # Organization-wide AWS Linux Runners with new Amazon 2023 AMI
-    - amz2023.linux.large
-    - amz2023.linux.2xlarge
-    - amz2023.linux.4xlarge
-    - amz2023.linux.12xlarge
-    - amz2023.linux.24xlarge
-    - amz2023.linux.arm64.2xlarge
-    - amz2023.linux.arm64.m7g.4xlarge
-    - amz2023.linux.arm64.m7g.4xlarge.ephemeral
-    - amz2023.linux.4xlarge.nvidia.gpu
-    - amz2023.linux.8xlarge.nvidia.gpu
-    - amz2023.linux.16xlarge.nvidia.gpu
-    - amz2023.linux.g5.4xlarge.nvidia.gpu
-    # Pytorch/pytorch AWS Linux Runners with the new Amazon 2023 AMI on Linux Foundation account
-    - amz2023.lf.linux.large
-    - amz2023.lf.linux.2xlarge
-    - amz2023.lf.linux.4xlarge
-    - amz2023.lf.linux.12xlarge
-    - amz2023.lf.linux.24xlarge
-    - amz2023.lf.linux.arm64.2xlarge
-    - amz2023.lf.linux.4xlarge.nvidia.gpu
-    - amz2023.lf.linux.8xlarge.nvidia.gpu
-    - amz2023.lf.linux.16xlarge.nvidia.gpu
-    - amz2023.lf.linux.g5.4xlarge.nvidia.gpu
     # Repo-specific IBM hosted S390x runner
     - linux.s390x
     # Organization wide AWS Windows runners

.github/lf-canary-scale-config.yml

@@ -36,9 +36,6 @@ runner_types:
     max_available: 1000
     os: linux
     ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
-    variants:
-      amz2023:
-        ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
   lf.c.linux.10xlarge.avx2:
     disk_size: 200
     instance_type: m4.10xlarge
@@ -112,9 +109,6 @@ runner_types:
     max_available: 1000
     os: linux
     ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
-    variants:
-      amz2023:
-        ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
   lf.c.linux.4xlarge.nvidia.gpu:
     disk_size: 150
     instance_type: g3.4xlarge
@@ -129,9 +123,6 @@ runner_types:
     max_available: 400
     os: linux
     ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
-    variants:
-      amz2023:
-        ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
   lf.c.linux.g4dn.12xlarge.nvidia.gpu:
     disk_size: 150
     instance_type: g4dn.12xlarge
@@ -174,9 +165,6 @@ runner_types:
     max_available: 50
     os: linux
     ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
-    variants:
-      amz2023:
-        ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
   lf.c.linux.large:
     max_available: 1200
     disk_size: 15

.github/lf-scale-config.yml

@@ -36,9 +36,6 @@ runner_types:
     max_available: 1000
     os: linux
     ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
-    variants:
-      amz2023:
-        ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
   lf.linux.10xlarge.avx2:
     disk_size: 200
     instance_type: m4.10xlarge
@@ -112,9 +109,6 @@ runner_types:
     max_available: 1000
     os: linux
     ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
-    variants:
-      amz2023:
-        ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
   lf.linux.4xlarge.nvidia.gpu:
     disk_size: 150
     instance_type: g3.4xlarge
@@ -129,9 +123,6 @@ runner_types:
     max_available: 400
     os: linux
     ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
-    variants:
-      amz2023:
-        ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
   lf.linux.g4dn.12xlarge.nvidia.gpu:
     disk_size: 150
     instance_type: g4dn.12xlarge
@@ -174,9 +165,6 @@ runner_types:
     max_available: 50
     os: linux
     ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
-    variants:
-      amz2023:
-        ami: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
   lf.linux.large:
     max_available: 1200
     disk_size: 15

benchmarks/dynamo/pr_time_benchmarks/benchmark_base.py

@@ -40,7 +40,7 @@
   # The weight of the record according to current sampling rate
   25: optional i64 weight;
 
-  # The name of the current job. Derived from JOB_NAME, e.g., linux-jammy-py3.8-gcc11 / test (default, 3, 4, amz2023.linux.2xlarge).
+  # The name of the current job. Derived from JOB_NAME, e.g., linux-jammy-py3.8-gcc11 / test (default, 3, 4, linux.2xlarge).
   26: optional string github_job;
 
   # The GitHub user who triggered the job.  Derived from GITHUB_TRIGGERING_ACTOR.

torch/_logging/scribe.py

@@ -44,7 +44,7 @@ def inner(**kwargs: TLazyField) -> None:
   # A unique number for each run of a particular workflow in a repository, e.g., 238742. Derived from GITHUB_RUN_NUMBER.
   10: optional string github_run_number_str;
 
-  # The name of the current job. Derived from JOB_NAME, e.g., linux-jammy-py3.8-gcc11 / test (default, 3, 4, amz2023.linux.2xlarge).
+  # The name of the current job. Derived from JOB_NAME, e.g., linux-jammy-py3.8-gcc11 / test (default, 3, 4, linux.2xlarge).
   11: optional string job_name;
 
   # The GitHub user who triggered the job.  Derived from GITHUB_TRIGGERING_ACTOR.