run 2.6 inf on autopatch

Author: jinyan-li1

dlc_developer_config.toml

@@ -36,17 +36,17 @@ deep_canary_mode = false
 
 [build]
 # Add in frameworks you would like to build. By default, builds are disabled unless you specify building an image.
-# available frameworks - ["base", "vllm", "sglang", "autogluon", "huggingface_vllm", "huggingface_tensorflow", "huggingface_pytorch", "huggingface_tensorflow_trcomp", "huggingface_pytorch_trcomp", "pytorch_trcomp", "tensorflow", "pytorch", "stabilityai_pytorch"]
-build_frameworks = []
+# available frameworks - ["base", "vllm", "sglang", "autogluon", "huggingface_tensorflow", "huggingface_pytorch", "huggingface_tensorflow_trcomp", "huggingface_pytorch_trcomp", "pytorch_trcomp", "tensorflow", "pytorch", "stabilityai_pytorch"]
+build_frameworks = ["pytorch"]
 
 
 # By default we build both training and inference containers. Set true/false values to determine which to build.
-build_training = true
-build_inference = true
+build_training = false
+build_inference = true 
 
 # Set do_build to "false" to skip builds and test the latest image built by this PR
 # Note: at least one build is required to set do_build to "false"
-do_build = true
+do_build = true 
 
 [notify]
 ### Notify on test failures
@@ -154,7 +154,7 @@ dlc-pr-tensorflow-2-habana-training = ""
 ### INFERENCE PR JOBS ###
 
 # Standard Framework Inference
-dlc-pr-pytorch-inference = ""
+dlc-pr-pytorch-inference = "pytorch/inference/buildspec-2-6-sm.yml" 
 dlc-pr-tensorflow-2-inference = ""
 dlc-pr-autogluon-inference = ""
 
@@ -186,8 +186,5 @@ dlc-pr-tensorflow-2-eia-inference = ""
 # vllm
 dlc-pr-vllm = ""
 
-# HuggingFace vLLM
-dlc-pr-huggingface-vllm = ""
-
 # sglang
 dlc-pr-sglang = ""

pytorch/inference/buildspec-2-6-sm.yml

@@ -5,7 +5,7 @@ framework: &FRAMEWORK pytorch
 version: &VERSION 2.6.0
 short_version: &SHORT_VERSION "2.6"
 arch_type: x86
-# autopatch_build: "True"
+autopatch_build: "True"
 
 repository_info:
   inference_repository: &INFERENCE_REPOSITORY