chore: Enable TF 2.19 training builds in developer config

Author: Jyothirmaikottu

dlc_developer_config.toml

@@ -37,12 +37,12 @@ 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 = ["tensorflow"]
 
 
 # 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_inference = false
 
 # 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"
@@ -125,7 +125,7 @@ dlc-pr-base = ""
 
 # Standard Framework Training
 dlc-pr-pytorch-training = ""
-dlc-pr-tensorflow-2-training = ""
+dlc-pr-tensorflow-2-training = "tensorflow/training/buildspec-2-19-sm.yml"
 dlc-pr-autogluon-training = ""
 
 # ARM64 Training