Expand supported labels to most self-hosted linux pull.yml workflows (#127578)
Initial set of runners added in https://github.com/pytorch/pytorch/pull/127566 seem to be working.
Expanding to include more machine types, especially GPU machines
Pull Request resolved: https://github.com/pytorch/pytorch/pull/127578
Approved by: https://github.com/huydhn
diff --git a/.github/lf-canary-scale-config.yml b/.github/lf-canary-scale-config.yml
index 6aeca46..6284442 100644
--- a/.github/lf-canary-scale-config.yml
+++ b/.github/lf-canary-scale-config.yml
@@ -6,3 +6,21 @@
is_ephemeral: false
max_available: 3120
os: linux
+ lf.c.linux.4xlarge:
+ disk_size: 150
+ instance_type: c5.4xlarge
+ is_ephemeral: false
+ max_available: 1000
+ os: linux
+ lf.c.linux.4xlarge.nvidia.gpu:
+ disk_size: 150
+ instance_type: g3.4xlarge
+ is_ephemeral: false
+ max_available: 520
+ os: linux
+ lf.c.linux.8xlarge.nvidia.gpu:
+ disk_size: 150
+ instance_type: g3.8xlarge
+ is_ephemeral: false
+ max_available: 400
+ os: linux
diff --git a/.github/lf-scale-config.yml b/.github/lf-scale-config.yml
index 758b7bd..cd4e6dc 100644
--- a/.github/lf-scale-config.yml
+++ b/.github/lf-scale-config.yml
@@ -6,3 +6,21 @@
is_ephemeral: false
max_available: 3120
os: linux
+ lf.linux.4xlarge:
+ disk_size: 150
+ instance_type: c5.4xlarge
+ is_ephemeral: false
+ max_available: 1000
+ os: linux
+ lf.linux.4xlarge.nvidia.gpu:
+ disk_size: 150
+ instance_type: g3.4xlarge
+ is_ephemeral: false
+ max_available: 520
+ os: linux
+ lf.linux.8xlarge.nvidia.gpu:
+ disk_size: 150
+ instance_type: g3.8xlarge
+ is_ephemeral: false
+ max_available: 400
+ os: linux
