Merge pull request #276983 from Blackmist/temp-fix0603

using temp branch to unblock examples PR

Author: v-dirichards

articles/machine-learning/how-to-train-distributed-gpu.md

@@ -45,7 +45,7 @@ To run distributed training using MPI, follow these steps:
 1. Define  a `command` with `instance_count`. `instance_count` should be equal to the number of GPUs per node for per-process-launch, or set to 1 (the default) for per-node-launch if the user script is responsible for launching the processes per node.
 1. Use the `distribution` parameter of the `command` to specify settings for `MpiDistribution`.
 
-[!notebook-python[](~/azureml-examples-main/sdk/python/jobs/single-step/tensorflow/mnist-distributed-horovod/tensorflow-mnist-distributed-horovod.ipynb?name=job)]
+[!notebook-python[](~/azureml-examples-temp-fix/sdk/python/jobs/single-step/tensorflow/mnist-distributed-horovod/tensorflow-mnist-distributed-horovod.ipynb?name=job)]
 
 ### Horovod
 

articles/machine-learning/reference-yaml-job-command.md

@@ -173,11 +173,11 @@ Examples are available in the [examples GitHub repository](https://github.com/Az
 
 ## YAML: distributed TensorFlow
 
-:::code language="yaml" source="~/azureml-examples-main/cli/jobs/single-step/tensorflow/mnist-distributed/job.yml":::
+:::code language="yaml" source="~/azureml-examples-temp-fix/cli/jobs/single-step/tensorflow/mnist-distributed/job.yml":::
 
 ## YAML: distributed MPI
 
-:::code language="yaml" source="~/azureml-examples-main/cli/jobs/single-step/tensorflow/mnist-distributed-horovod/job.yml":::
+:::code language="yaml" source="~/azureml-examples-temp-fix/cli/jobs/single-step/tensorflow/mnist-distributed-horovod/job.yml":::
 
 ## Next steps