Configure build for PyTorch 2.10 training EC2 images

Author: Bhanu Teja Goshikonda

dlc_developer_config.toml

@@ -37,7 +37,7 @@ 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 = []
+build_frameworks = ["pytorch"]
 
 
 # By default we build both training and inference containers. Set true/false values to determine which to build.
@@ -124,7 +124,7 @@ nightly_pr_test_mode = false
 dlc-pr-base = ""
 
 # Standard Framework Training
-dlc-pr-pytorch-training = ""
+dlc-pr-pytorch-training = "pytorch/training/buildspec-2-10-ec2.yml"
 dlc-pr-tensorflow-2-training = ""
 dlc-pr-autogluon-training = ""